1 00:00:01,360 --> 00:00:06,320 Speaker 1: It's Night Side with Dan Ray on WBS Boston's news radio. 2 00:00:07,280 --> 00:00:10,559 Speaker 2: Lot's going on this week in Washington. I think all 3 00:00:10,600 --> 00:00:15,280 Speaker 2: of us know that the government has in a shutdown situation. 4 00:00:15,520 --> 00:00:19,840 Speaker 2: They have not updated or renewed. The fiscal year in 5 00:00:20,040 --> 00:00:24,280 Speaker 2: Washington runs out every year at September thirtieth at midnight 6 00:00:24,480 --> 00:00:28,640 Speaker 2: or October first at midnight. When September thirtieth turns into 7 00:00:29,000 --> 00:00:32,360 Speaker 2: October first. Right now is about twenty one hours and 8 00:00:32,680 --> 00:00:35,839 Speaker 2: seven or eight minutes ago, And we are going to 9 00:00:35,920 --> 00:00:37,400 Speaker 2: talk a little bit. 10 00:00:37,320 --> 00:00:38,839 Speaker 3: About the shutdown. Later on. 11 00:00:39,920 --> 00:00:45,960 Speaker 2: We will be talking about what services will be impacted, 12 00:00:46,200 --> 00:00:48,960 Speaker 2: what may be impacted in the long run, how long 13 00:00:49,159 --> 00:00:52,080 Speaker 2: we will have a guest at ten o'clock. We're not 14 00:00:52,120 --> 00:00:55,000 Speaker 2: here to talk about the shutdown this hour. We're here 15 00:00:55,040 --> 00:00:57,480 Speaker 2: to shut We're here to shut to talk about not 16 00:00:57,600 --> 00:01:03,120 Speaker 2: the shutdown, but cutbacks that the Trump administration is imposing 17 00:01:03,280 --> 00:01:07,440 Speaker 2: on medical research institutes, not just in New England but 18 00:01:07,520 --> 00:01:09,520 Speaker 2: around the country. And to talk about that is the 19 00:01:09,600 --> 00:01:13,759 Speaker 2: current chancellor. He's the longest serving chancellor in the history 20 00:01:13,760 --> 00:01:18,200 Speaker 2: of UMass chan Medical School. He was the interim chancellor 21 00:01:18,680 --> 00:01:21,679 Speaker 2: from June of two thousand and seven, around the time 22 00:01:21,720 --> 00:01:25,600 Speaker 2: I started doing this program to September twenty eight of 23 00:01:25,640 --> 00:01:29,319 Speaker 2: two thousand and eight. He was appointed chancellor in September 24 00:01:29,440 --> 00:01:32,280 Speaker 2: of two thousand and eight. He's a tenured professor of 25 00:01:32,319 --> 00:01:35,920 Speaker 2: Population and Quantitative Health Sciences in medicine. And we are 26 00:01:36,000 --> 00:01:40,240 Speaker 2: delighted to welcome doctor Michael Collins to the Nightside microphone. 27 00:01:40,319 --> 00:01:41,760 Speaker 3: Doctor Collins, welcome to Nightside. 28 00:01:41,760 --> 00:01:44,920 Speaker 4: How are you, sir, evening Dan. I'm well, thank you, 29 00:01:44,959 --> 00:01:45,440 Speaker 4: and how are you? 30 00:01:46,400 --> 00:01:52,480 Speaker 2: I'm okay, But like you, I am concerned about the 31 00:01:52,560 --> 00:01:57,520 Speaker 2: cutbacks that are going to impact medical facilities around the country. 32 00:01:57,560 --> 00:02:01,160 Speaker 2: Because this is not a partisan issue from my perspective, 33 00:02:01,960 --> 00:02:08,600 Speaker 2: it affects every American, whether you're a Republican, a Democrat, independent, libertarian, librarian, whatever. 34 00:02:09,280 --> 00:02:15,600 Speaker 2: And and it's something that that you mass. 35 00:02:15,360 --> 00:02:18,440 Speaker 3: Chan Medical School does a lot of a lot. 36 00:02:18,240 --> 00:02:22,560 Speaker 2: Of research dealing with, amongst other things, cancer, causes of cancer, 37 00:02:22,639 --> 00:02:27,160 Speaker 2: and potential cures for cancer and als Luke Gherrig's disease. 38 00:02:28,560 --> 00:02:32,079 Speaker 2: How how concerned are you? You you on the front 39 00:02:32,120 --> 00:02:36,720 Speaker 2: lines here, so from your perspective as chancellor, how much 40 00:02:37,880 --> 00:02:43,320 Speaker 2: government funding is at risk? From what you know? 41 00:02:43,400 --> 00:02:43,839 Speaker 3: And I don't. 42 00:02:43,880 --> 00:02:45,799 Speaker 2: You may not know everything yet, but at this point 43 00:02:45,880 --> 00:02:49,760 Speaker 2: has the government communicated with you When I say the government, 44 00:02:49,760 --> 00:02:53,560 Speaker 2: I've talked about the Trump administration as to what what 45 00:02:53,720 --> 00:02:57,000 Speaker 2: limitations or what cutbacks however you want to characterize those 46 00:02:57,080 --> 00:03:00,880 Speaker 2: terms might want to impose on you, were school. 47 00:03:01,600 --> 00:03:04,360 Speaker 4: Based on today's actions are based on just issues in 48 00:03:04,440 --> 00:03:07,840 Speaker 4: regar in general. Let's look at it this way. Let's 49 00:03:07,880 --> 00:03:12,960 Speaker 4: look at this way, Dan. When when the budget for 50 00:03:13,000 --> 00:03:17,440 Speaker 4: the next year for the NIH the National Institutes of 51 00:03:17,480 --> 00:03:21,560 Speaker 4: Health was brought forward by the administration, they asked for 52 00:03:22,160 --> 00:03:26,200 Speaker 4: twenty seven billion dollars a number approximating twenty seven billion. 53 00:03:25,880 --> 00:03:29,679 Speaker 3: Dollars in cut. Is that in cuts or is that 54 00:03:29,760 --> 00:03:30,840 Speaker 3: what they were looking for? 55 00:03:30,880 --> 00:03:33,679 Speaker 4: No, that's what they were looking for, But that would 56 00:03:33,760 --> 00:03:38,440 Speaker 4: represent a cut of twenty billion dollars. Now, billions of 57 00:03:38,480 --> 00:03:41,560 Speaker 4: dollars are a lot of money, and you know, those 58 00:03:41,600 --> 00:03:43,760 Speaker 4: of us hear those numbers, they're just sort of you know, 59 00:03:43,840 --> 00:03:47,000 Speaker 4: they're just you know, they're just so big. But you know, 60 00:03:47,320 --> 00:03:51,080 Speaker 4: in relation to the federal budget of multiple trillions of dollars, 61 00:03:51,440 --> 00:03:57,360 Speaker 4: there's a relatively small fraction of the of the federal budget, 62 00:03:57,720 --> 00:04:03,080 Speaker 4: but it's an enormous fraction of the budget of teaching, hospitals, 63 00:04:03,160 --> 00:04:06,880 Speaker 4: and medical schools across the country not sort of set 64 00:04:06,960 --> 00:04:11,120 Speaker 4: the tables so people understand this. The American biomedical research 65 00:04:11,280 --> 00:04:14,680 Speaker 4: enterprise that which exists in the United States is the 66 00:04:14,720 --> 00:04:18,000 Speaker 4: finest in the world. Let's fact one, it's the finest 67 00:04:18,040 --> 00:04:21,440 Speaker 4: in the world. And there has been a greater than 68 00:04:21,680 --> 00:04:27,400 Speaker 4: sixty year commitment partnership, whatever you want to call it, 69 00:04:27,480 --> 00:04:32,800 Speaker 4: between the federal government, teaching hospitals, and medical schools. When 70 00:04:32,800 --> 00:04:36,360 Speaker 4: I say a partnership, what that means is that the 71 00:04:36,400 --> 00:04:40,479 Speaker 4: federal government in partnerships, in partnership with just about every 72 00:04:40,480 --> 00:04:44,279 Speaker 4: medical school and many of the large teaching hospitals. We 73 00:04:44,360 --> 00:04:49,440 Speaker 4: recruit the faculty. The faculty apply to the National Institute's Health, 74 00:04:49,760 --> 00:04:53,760 Speaker 4: the National Science Foundation, Department of Defense, Department of Energy, 75 00:04:54,040 --> 00:04:58,080 Speaker 4: that our faculty apply for grants, and they work on 76 00:04:58,200 --> 00:05:02,080 Speaker 4: projects that are in the interest of science. And those 77 00:05:02,120 --> 00:05:06,360 Speaker 4: projects can be at the very molecular level where they're looking, 78 00:05:07,080 --> 00:05:09,160 Speaker 4: you know, almost at the level of the atom, to 79 00:05:09,279 --> 00:05:12,520 Speaker 4: try to find a way in which a new area 80 00:05:12,640 --> 00:05:16,000 Speaker 4: of an atom or a series of atoms together in 81 00:05:16,120 --> 00:05:21,159 Speaker 4: molecules could provide a target for a drug. That's one 82 00:05:21,160 --> 00:05:24,640 Speaker 4: thing all the way to as you mentioned, how neuro 83 00:05:24,800 --> 00:05:30,440 Speaker 4: degeneration or degeneration of the nerves occurs, causing als could 84 00:05:30,480 --> 00:05:34,520 Speaker 4: be pediatric brain cancer and in the In the in 85 00:05:34,560 --> 00:05:38,440 Speaker 4: the instance of the National Institutes of Health, there are 86 00:05:38,600 --> 00:05:44,320 Speaker 4: calls for faculty and medical researchers from across the nation 87 00:05:44,920 --> 00:05:51,480 Speaker 4: to apply for grants in particular areas aging, mental health, pediatrics, 88 00:05:51,800 --> 00:05:58,440 Speaker 4: infectious diseases, kidney diseases, gastrointestinal disease, you know, across the thing. 89 00:05:58,560 --> 00:06:01,960 Speaker 4: And what I I love about the NIH, and what 90 00:06:02,080 --> 00:06:06,159 Speaker 4: I think has been so important about the nation's biomedical 91 00:06:06,200 --> 00:06:12,440 Speaker 4: research enterprise is that it's a meritocracy. The best grant wins, 92 00:06:13,400 --> 00:06:16,719 Speaker 4: and so hundreds of grants would go into the NIH 93 00:06:17,440 --> 00:06:22,120 Speaker 4: and experts in that particular area would come together. That's 94 00:06:22,160 --> 00:06:25,680 Speaker 4: called a study section. The members of the study section 95 00:06:25,920 --> 00:06:29,800 Speaker 4: read the grants and they score them, and it's like golf. 96 00:06:29,960 --> 00:06:33,719 Speaker 4: Low score wins, And so if you get say a 97 00:06:33,839 --> 00:06:37,160 Speaker 4: twelve or a two on a grant and the pay 98 00:06:37,200 --> 00:06:39,479 Speaker 4: line is twenty, you're going to be funded. In almost 99 00:06:39,560 --> 00:06:42,719 Speaker 4: every instance, you're going to be funded. And what's happened 100 00:06:44,000 --> 00:06:46,560 Speaker 4: in the last since February, let's put it that way, 101 00:06:46,600 --> 00:06:49,840 Speaker 4: since February. What's happened since February is that there has 102 00:06:49,880 --> 00:06:55,680 Speaker 4: been a slowdown in the funding of grants, consideration of grants, 103 00:06:56,360 --> 00:07:00,520 Speaker 4: paying of grants. In essence, there's been a slow down 104 00:07:00,560 --> 00:07:05,000 Speaker 4: in the commitment the nation has made to biomedical research, 105 00:07:05,640 --> 00:07:11,120 Speaker 4: which could threaten it in the nation for generations. And 106 00:07:11,360 --> 00:07:15,080 Speaker 4: this is not a minor thing for Massachusetts because in 107 00:07:15,160 --> 00:07:19,400 Speaker 4: Massachusetts we have some of the finest teaching hospitals and 108 00:07:19,640 --> 00:07:24,520 Speaker 4: four of the finest medical schools which have been conducting 109 00:07:25,160 --> 00:07:27,720 Speaker 4: world breaking research. I mean, I just hope everyone would 110 00:07:27,720 --> 00:07:31,640 Speaker 4: recognize that a member of the faculty of UMass CHAN 111 00:07:32,280 --> 00:07:37,000 Speaker 4: is this year's Nobel Prize winner this year. Now that 112 00:07:37,080 --> 00:07:40,520 Speaker 4: will change on Monday when the next Nobel Prize is awarded. 113 00:07:40,680 --> 00:07:44,280 Speaker 4: But one year ago Victor Ambrose, a member of our faculty, 114 00:07:44,560 --> 00:07:47,560 Speaker 4: won the Nobel Prize, and that was our second Nobel Prize. 115 00:07:47,680 --> 00:07:50,040 Speaker 4: Craig Mellow had won the Nobel Prize in two thousand 116 00:07:50,120 --> 00:07:54,920 Speaker 4: and six, and so across the world. The biomedical research 117 00:07:55,080 --> 00:08:00,440 Speaker 4: enterprise is respected in Massachusetts and billions of dollars into 118 00:08:00,520 --> 00:08:07,520 Speaker 4: the state to faculty members and our institutions to conductor search. 119 00:08:08,080 --> 00:08:11,800 Speaker 4: And this is critically important to the economy of Massachusetts. 120 00:08:12,120 --> 00:08:15,200 Speaker 4: When one of our investigators so Let's say when doctor 121 00:08:15,240 --> 00:08:18,520 Speaker 4: Ambrose wins a grant, the typical that he's called the 122 00:08:18,600 --> 00:08:22,720 Speaker 4: principal investigator in that instance, he typically hires seven to 123 00:08:22,760 --> 00:08:25,600 Speaker 4: ten people. Now you do that across three hundred of 124 00:08:25,600 --> 00:08:29,760 Speaker 4: our faculty, that's you know, over two thousand people are employed. 125 00:08:30,120 --> 00:08:34,280 Speaker 4: And the multiplier the economic impact of UMASH Chair Medical 126 00:08:34,280 --> 00:08:38,320 Speaker 4: School in Massachusetts is over two billion dollars. 127 00:08:39,240 --> 00:08:39,560 Speaker 3: Okay. 128 00:08:39,679 --> 00:08:39,960 Speaker 4: Let me. 129 00:08:40,679 --> 00:08:43,000 Speaker 2: You're thrown a lot at us here, okay, and I 130 00:08:43,080 --> 00:08:46,960 Speaker 2: want my audience to basically absorb it. 131 00:08:47,040 --> 00:08:47,360 Speaker 3: Here. 132 00:08:48,800 --> 00:08:52,040 Speaker 2: The statistic that I found to be the most interesting, 133 00:08:52,440 --> 00:08:55,120 Speaker 2: and if I heard it incorrectly, help me, is that 134 00:08:55,440 --> 00:09:00,600 Speaker 2: last year, last fiscal year, there was about you said, 135 00:09:00,720 --> 00:09:06,360 Speaker 2: forty seven billion dollars spent on medical research funding by 136 00:09:06,360 --> 00:09:07,880 Speaker 2: the federal government across the country. 137 00:09:07,960 --> 00:09:10,800 Speaker 3: Was that an accurate characterization of what you said? 138 00:09:11,160 --> 00:09:14,920 Speaker 4: That is accurate? And that this year and the budget 139 00:09:14,960 --> 00:09:17,920 Speaker 4: for this year is twenty eight billion and the twenty 140 00:09:17,960 --> 00:09:19,000 Speaker 4: years forty eight billion. 141 00:09:19,240 --> 00:09:24,720 Speaker 2: Okay, So we're talking about a significant drop twenty billion dollars. 142 00:09:24,960 --> 00:09:30,440 Speaker 2: But also that's done close to I guess you could 143 00:09:30,559 --> 00:09:32,880 Speaker 2: you could say it's a fifty percent drop when you're 144 00:09:32,880 --> 00:09:37,480 Speaker 2: talking about lopping off twenty million or so from forty 145 00:09:37,520 --> 00:09:38,240 Speaker 2: seven million. 146 00:09:38,760 --> 00:09:43,680 Speaker 3: That's you know, you're talking about drop. Dramatic, Okay, dramatic. 147 00:09:44,520 --> 00:09:48,120 Speaker 2: We also know we also know that in the federal budget, 148 00:09:48,800 --> 00:09:51,480 Speaker 2: which is a huge number, and I think the overall 149 00:09:51,520 --> 00:09:54,080 Speaker 2: budget now is somewhere around six trillion every year if 150 00:09:54,120 --> 00:09:58,120 Speaker 2: I'm not mistaken, And there's a lot of what they 151 00:09:58,200 --> 00:10:03,920 Speaker 2: call non discretionary spending social Security and programs Medicare and 152 00:10:04,000 --> 00:10:06,199 Speaker 2: Medicaid and things like that that have been promised they have. 153 00:10:06,440 --> 00:10:09,720 Speaker 2: They can trim here, they can trim there, but this 154 00:10:09,760 --> 00:10:15,480 Speaker 2: is in the discretion of the executive branch. So my 155 00:10:15,679 --> 00:10:19,960 Speaker 2: question is this, if we talk to every person or 156 00:10:20,000 --> 00:10:24,880 Speaker 2: any person in Massachusetts and said the Trump administration is 157 00:10:24,880 --> 00:10:27,560 Speaker 2: going to knock off twenty billion dollars, but twenty billion 158 00:10:27,600 --> 00:10:32,560 Speaker 2: dollars from a figure of forty seven, because the denominator 159 00:10:32,559 --> 00:10:35,840 Speaker 2: and the nominator are both important to come up with 160 00:10:35,880 --> 00:10:38,480 Speaker 2: a calculation and a percentage. 161 00:10:39,480 --> 00:10:41,600 Speaker 3: That's a big cut. That's a big cut. 162 00:10:41,720 --> 00:10:47,680 Speaker 2: Now, why do you think the Trump administration Are they 163 00:10:47,720 --> 00:10:50,680 Speaker 2: being influenced by Robert F. 164 00:10:50,760 --> 00:10:51,160 Speaker 3: Kennedy. 165 00:10:51,200 --> 00:10:53,880 Speaker 2: And I'm not looking to turn this into politics, but 166 00:10:53,920 --> 00:10:55,560 Speaker 2: I'm just under it just seems to me that when 167 00:10:55,559 --> 00:10:57,880 Speaker 2: we're talking about trying to find a cure for als, 168 00:10:58,200 --> 00:11:02,280 Speaker 2: everyone's affected potentially by a less doesn't matter who you 169 00:11:02,400 --> 00:11:05,360 Speaker 2: voted for, doesn't matter what your party affiliation. Why would 170 00:11:05,360 --> 00:11:09,280 Speaker 2: there be such a dramatic cut levied against this? Is 171 00:11:09,320 --> 00:11:13,480 Speaker 2: this something that you think President Trump is concerned about? 172 00:11:13,520 --> 00:11:16,760 Speaker 2: Are they people within his administration who was saying, here's 173 00:11:16,800 --> 00:11:18,439 Speaker 2: where we got to make some cuts. 174 00:11:19,679 --> 00:11:20,120 Speaker 3: Or do you know? 175 00:11:20,200 --> 00:11:23,320 Speaker 4: I don't, I don't. I would like to believe that 176 00:11:23,400 --> 00:11:26,800 Speaker 4: the president doesn't have that opinion. That would be what 177 00:11:26,840 --> 00:11:30,040 Speaker 4: I would like to believe. But what we are told 178 00:11:31,200 --> 00:11:35,600 Speaker 4: when when you know, when folks interact, when the Congress, 179 00:11:35,640 --> 00:11:39,480 Speaker 4: when the NIH director went to the Congress to talk 180 00:11:39,520 --> 00:11:45,479 Speaker 4: about their request, he said, look, I'm here to establish 181 00:11:45,520 --> 00:11:51,400 Speaker 4: a partnership with with the Congress. We want to change 182 00:11:51,440 --> 00:11:56,560 Speaker 4: some of the priorities. We want to we want to 183 00:11:57,320 --> 00:12:00,960 Speaker 4: emphasize research that's reproducible. So in other words, if one 184 00:12:01,000 --> 00:12:03,920 Speaker 4: scientist gets a result, that another scientist can get the 185 00:12:03,960 --> 00:12:07,360 Speaker 4: result the name and he had a series of principles 186 00:12:07,360 --> 00:12:09,640 Speaker 4: like that, and I would you know, I would say, 187 00:12:11,240 --> 00:12:15,640 Speaker 4: so fair, fair game. New administration. They want to say, 188 00:12:15,720 --> 00:12:18,400 Speaker 4: we're going to have some priorities but what the members 189 00:12:18,400 --> 00:12:20,200 Speaker 4: of the Congress and the way this should work. The 190 00:12:20,200 --> 00:12:22,800 Speaker 4: members of the Congress said, well, doctor, we appreciate your here. 191 00:12:23,040 --> 00:12:25,000 Speaker 4: We appreciate you'd like to cut the We don't want 192 00:12:25,000 --> 00:12:27,480 Speaker 4: to cut the budget. We want the budget to be 193 00:12:27,520 --> 00:12:29,600 Speaker 4: forty eight billion dollars and we want you to spend 194 00:12:29,640 --> 00:12:31,679 Speaker 4: forty eight billion dollars. That's what we want you to do. 195 00:12:32,559 --> 00:12:34,560 Speaker 4: And he kept saying, well, that's why I'm here, and 196 00:12:34,559 --> 00:12:38,240 Speaker 4: it's a partnership. So when the appropriation committees in the 197 00:12:38,280 --> 00:12:40,840 Speaker 4: House and the Senate, which is how this works, sent 198 00:12:40,920 --> 00:12:44,320 Speaker 4: the numbers for next year up, they sent they sent 199 00:12:44,400 --> 00:12:47,200 Speaker 4: a number just a little bit north of forty eight billion. 200 00:12:48,320 --> 00:12:50,480 Speaker 4: And now, with everything that's going on down there today, 201 00:12:50,520 --> 00:12:51,679 Speaker 4: you said you're going to talk about it in the 202 00:12:51,760 --> 00:12:56,080 Speaker 4: next hour. You can review it then. Obviously lots of 203 00:12:56,120 --> 00:13:00,840 Speaker 4: things are confused. But what's happened since February now is 204 00:13:01,200 --> 00:13:05,360 Speaker 4: incredible amounts of uncertainty have come into place. Let me 205 00:13:05,400 --> 00:13:06,520 Speaker 4: talk about let me do this. 206 00:13:06,520 --> 00:13:07,960 Speaker 2: I'm gonna let you talk, but I got to take 207 00:13:07,960 --> 00:13:13,560 Speaker 2: a commercial break. By the way, the NIH director is uh. 208 00:13:13,600 --> 00:13:18,800 Speaker 2: He's a Stanford professor, Jay Patcharia Uh and smart guy. 209 00:13:19,640 --> 00:13:21,280 Speaker 3: I think everybody would agree with that. 210 00:13:22,640 --> 00:13:23,880 Speaker 4: Why smart? 211 00:13:24,160 --> 00:13:25,880 Speaker 2: And I'm trying to get him to come on the 212 00:13:25,880 --> 00:13:28,360 Speaker 2: show and defend those those cuts. 213 00:13:28,400 --> 00:13:28,840 Speaker 3: We'll see. 214 00:13:29,200 --> 00:13:32,280 Speaker 2: I've had him on before, but sometimes when you work 215 00:13:32,280 --> 00:13:35,360 Speaker 2: for the administration, they put a short leash on people. 216 00:13:35,640 --> 00:13:39,080 Speaker 3: My guest is doctor Michael Collins. 217 00:13:39,120 --> 00:13:43,040 Speaker 2: He is the Chancellor of the University of Massachusetts chan 218 00:13:43,480 --> 00:13:49,319 Speaker 2: Medical University Medical School. And we're talking about cuts. We'll 219 00:13:49,320 --> 00:13:51,040 Speaker 2: take a quick break. We'll be back if you'd like 220 00:13:51,080 --> 00:13:56,560 Speaker 2: to join the conversation six thirty or six one, seven nineties. 221 00:13:56,640 --> 00:13:57,559 Speaker 3: I say, we. 222 00:13:57,559 --> 00:13:59,880 Speaker 2: Got a great topic, we got a great guest. All 223 00:14:00,040 --> 00:14:02,000 Speaker 2: we got to do is add callers and stir back 224 00:14:02,040 --> 00:14:03,160 Speaker 2: on Nightside right after this. 225 00:14:04,280 --> 00:14:09,599 Speaker 1: You're on Night Side with Dan Ray onz Boston's News Radio. 226 00:14:10,480 --> 00:14:13,720 Speaker 2: My guest is Michael, doctor Michael Collins. He is the 227 00:14:14,040 --> 00:14:17,360 Speaker 2: chancellor the UMass Chain Medical School. We only get a 228 00:14:17,400 --> 00:14:19,200 Speaker 2: couple of minutes left until the break, and we will 229 00:14:19,200 --> 00:14:21,720 Speaker 2: get to some phone calls after the news at the 230 00:14:21,760 --> 00:14:22,560 Speaker 2: bottom of the hour. 231 00:14:23,200 --> 00:14:23,640 Speaker 3: Chancellor. 232 00:14:23,680 --> 00:14:26,800 Speaker 2: But I guess we can talk about the numbers, we 233 00:14:26,800 --> 00:14:31,120 Speaker 2: can talk about the cuts, but I don't understand why 234 00:14:32,840 --> 00:14:36,400 Speaker 2: the population, whether they're Trump supporters or not, would rise 235 00:14:36,440 --> 00:14:38,040 Speaker 2: up and say, hey, there's a lot of places that 236 00:14:38,960 --> 00:14:42,200 Speaker 2: you can cut, and we understand that cuts. After we 237 00:14:42,280 --> 00:14:44,920 Speaker 2: made we have a thirty seven trillion dollar deficit. But 238 00:14:45,040 --> 00:14:47,720 Speaker 2: this is the last place that cuts should be made, 239 00:14:47,760 --> 00:14:50,120 Speaker 2: because the research that your folks are doing on a 240 00:14:50,200 --> 00:14:53,800 Speaker 2: new mass and at other institutions might save us, might 241 00:14:53,840 --> 00:14:55,720 Speaker 2: give us an extra ten years of life or twenty 242 00:14:55,760 --> 00:14:58,480 Speaker 2: years of life, might save a parent, might save a child. 243 00:14:59,600 --> 00:15:01,920 Speaker 2: You guys, is it truly where the rough meets the road? 244 00:15:02,040 --> 00:15:05,880 Speaker 2: And this is nuts. I hate to use a technical term, 245 00:15:05,920 --> 00:15:07,880 Speaker 2: but I have no other way to describe it. 246 00:15:09,360 --> 00:15:12,640 Speaker 4: Couldn't grave with you more, Dan, And so the way 247 00:15:12,680 --> 00:15:17,720 Speaker 4: I look at this research brings hope to the human condition. 248 00:15:18,640 --> 00:15:20,720 Speaker 4: Think about it for a minute. If there's no hope, 249 00:15:21,280 --> 00:15:23,960 Speaker 4: it's impossible to get out of bed in the morning. 250 00:15:24,480 --> 00:15:28,120 Speaker 4: And our scientists are working on projects to try to 251 00:15:28,400 --> 00:15:31,480 Speaker 4: change the course of history of disease. And it could 252 00:15:31,480 --> 00:15:35,320 Speaker 4: be pediatric brain cancer, as we've talked about als. It 253 00:15:35,400 --> 00:15:40,880 Speaker 4: could be in developing new devices and ways to treat people. 254 00:15:40,880 --> 00:15:44,400 Speaker 4: You know, I had a patient that had needed an 255 00:15:44,440 --> 00:15:48,480 Speaker 4: aortic valve replaced. We now do that with two half 256 00:15:48,520 --> 00:15:51,000 Speaker 4: inch decisions in the groin, and you don't have to 257 00:15:51,040 --> 00:15:53,760 Speaker 4: open the chest anymore, and the patient goes home in 258 00:15:53,760 --> 00:15:55,760 Speaker 4: a day. These are all things that came as a 259 00:15:55,800 --> 00:16:00,640 Speaker 4: result of research and. 260 00:15:58,760 --> 00:16:03,120 Speaker 2: The ale US work that doctor Brown does at said, 261 00:16:03,120 --> 00:16:05,640 Speaker 2: I'm very familiar with that. By the way, that is 262 00:16:05,680 --> 00:16:08,880 Speaker 2: a disease that seems to strike more and more families 263 00:16:08,960 --> 00:16:12,440 Speaker 2: every year, that research will have to be cut. 264 00:16:12,480 --> 00:16:17,600 Speaker 4: I assume, well, if it's not cut, it's certainly going 265 00:16:17,680 --> 00:16:21,120 Speaker 4: to be delayed. And if it's delayed, then then the challenge. 266 00:16:21,160 --> 00:16:23,160 Speaker 4: This is the This is where I was going to 267 00:16:23,240 --> 00:16:24,480 Speaker 4: That is what I was going to say. It the 268 00:16:25,240 --> 00:16:27,480 Speaker 4: just before we took the break, that we have scientists 269 00:16:27,520 --> 00:16:31,800 Speaker 4: now who are need to do critical experiments and the 270 00:16:31,800 --> 00:16:36,360 Speaker 4: funding has stopped, and we know, just just to just 271 00:16:36,400 --> 00:16:38,200 Speaker 4: to make it real for us, you know, we have 272 00:16:38,840 --> 00:16:41,200 Speaker 4: millions and millions of dollars of grants that we know 273 00:16:41,360 --> 00:16:44,840 Speaker 4: have been approved, but they have still not been that 274 00:16:44,960 --> 00:16:46,800 Speaker 4: you know, we still have not gotten the green light 275 00:16:47,040 --> 00:16:49,080 Speaker 4: from the NIH to go ahead and start to spend 276 00:16:49,120 --> 00:16:52,200 Speaker 4: those moneys. You know, we had to let go over 277 00:16:52,200 --> 00:16:54,880 Speaker 4: two hundred and fifty people in the spring, We had 278 00:16:54,880 --> 00:16:59,040 Speaker 4: to cut back our grad school class, and every institution 279 00:16:59,200 --> 00:17:04,000 Speaker 4: has made you know, similar kinds of these actions, and 280 00:17:04,680 --> 00:17:09,600 Speaker 4: to me, it's just so disappointing because we have assembled 281 00:17:10,680 --> 00:17:15,080 Speaker 4: this incredible group of people committed to science, working on 282 00:17:15,200 --> 00:17:21,560 Speaker 4: very important projects, and through administrative inefficiency, through decision making 283 00:17:21,600 --> 00:17:24,800 Speaker 4: that is not in the best interests of human being. 284 00:17:24,800 --> 00:17:28,159 Speaker 4: And you're quite right when you say, you know, disease 285 00:17:28,280 --> 00:17:29,440 Speaker 4: is not a partisans right. 286 00:17:29,640 --> 00:17:30,399 Speaker 5: It just isn't. 287 00:17:30,880 --> 00:17:36,320 Speaker 4: And I think that you're also extremely correct in my 288 00:17:36,400 --> 00:17:40,280 Speaker 4: opinion that I think you ask the average person on 289 00:17:40,280 --> 00:17:42,280 Speaker 4: the street, they say, hey, we want the nation to 290 00:17:42,320 --> 00:17:46,119 Speaker 4: invest in research because we know the difference it makes. 291 00:17:46,200 --> 00:17:49,080 Speaker 4: Just about every drug that a patient takes has come 292 00:17:49,119 --> 00:17:52,119 Speaker 4: as a result of research that was done with NIH funding, 293 00:17:52,920 --> 00:17:58,600 Speaker 4: and now to cast this uncertainty and doubt administrative inefficiency 294 00:17:58,720 --> 00:17:59,320 Speaker 4: is just wrong. 295 00:17:59,600 --> 00:18:01,439 Speaker 2: I would have make one suggestion to you, and then 296 00:18:01,480 --> 00:18:04,040 Speaker 2: we're going to go to the nine to thirty newscast, 297 00:18:04,080 --> 00:18:05,520 Speaker 2: and then we're going to go to phone calls. 298 00:18:06,000 --> 00:18:10,920 Speaker 3: There are four United States Senators who are physicians. 299 00:18:11,920 --> 00:18:16,040 Speaker 2: All four of them are Republicans, Marshall of Kansas, Cassidy 300 00:18:16,080 --> 00:18:20,320 Speaker 2: of Louisiana, Paul of Kentucky, and Barrasso of Wyoming. 301 00:18:20,359 --> 00:18:24,040 Speaker 3: Bar is there any effort. 302 00:18:23,720 --> 00:18:28,800 Speaker 2: To reach those four and literally form a caucus that 303 00:18:28,840 --> 00:18:31,600 Speaker 2: will go up and get those four senators. I'm sure 304 00:18:31,920 --> 00:18:34,840 Speaker 2: could get a meeting directly with the President and say 305 00:18:35,440 --> 00:18:38,960 Speaker 2: this is something that is dead wrong and this has 306 00:18:39,040 --> 00:18:39,679 Speaker 2: to be reversed. 307 00:18:39,720 --> 00:18:42,159 Speaker 3: Mister President, Have you guys talked to them at all? 308 00:18:42,240 --> 00:18:44,360 Speaker 2: And I'm when I say you guys, I mean you're 309 00:18:44,520 --> 00:18:47,280 Speaker 2: you're a very influential chancellor at a medical school, major 310 00:18:47,320 --> 00:18:47,919 Speaker 2: medical school. 311 00:18:48,040 --> 00:18:49,560 Speaker 3: There are others around the country. 312 00:18:50,520 --> 00:18:54,200 Speaker 2: I think that those that the key to success might 313 00:18:54,240 --> 00:18:56,159 Speaker 2: lie with those four members of the US Senator. 314 00:18:57,119 --> 00:19:01,000 Speaker 4: Well, actually, we got fourteen Republican senators to write to 315 00:19:01,040 --> 00:19:03,920 Speaker 4: the NIH. We did exactly what you said. We got 316 00:19:03,960 --> 00:19:08,920 Speaker 4: fourteen Republican senators and they gave that exact point that 317 00:19:09,040 --> 00:19:12,680 Speaker 4: we want NIH funded, We want the research money to 318 00:19:12,720 --> 00:19:15,680 Speaker 4: get out the door. This is a very high priority 319 00:19:15,720 --> 00:19:18,399 Speaker 4: for us, and you should act upon this immediately and 320 00:19:18,480 --> 00:19:19,199 Speaker 4: we shall see. 321 00:19:19,520 --> 00:19:24,560 Speaker 2: But those fourteen senators have written to Badachari, doctor Batachari 322 00:19:24,640 --> 00:19:25,400 Speaker 2: at the NIH. 323 00:19:25,520 --> 00:19:25,840 Speaker 4: Correct. 324 00:19:26,119 --> 00:19:29,639 Speaker 2: He has to be following what the top guy, Donald 325 00:19:29,680 --> 00:19:31,640 Speaker 2: Trump is telling him. I don't know, I'm just trying 326 00:19:31,680 --> 00:19:33,240 Speaker 2: to open up a different avenue. 327 00:19:34,119 --> 00:19:36,040 Speaker 4: But that's not exactly not the way it works when 328 00:19:36,040 --> 00:19:39,200 Speaker 4: the Congress appropriates the money, the administration is supposed to 329 00:19:39,280 --> 00:19:40,240 Speaker 4: minister that funding. 330 00:19:40,440 --> 00:19:43,800 Speaker 2: Oh, I know that, I understand, I understand the political process. 331 00:19:43,840 --> 00:19:48,120 Speaker 2: But the President obviously has intervened here, and it would 332 00:19:48,119 --> 00:19:50,520 Speaker 2: seem to me that someone needs to show him that 333 00:19:50,680 --> 00:19:51,200 Speaker 2: this is. 334 00:19:51,320 --> 00:19:53,200 Speaker 3: This is folly, this is folly. 335 00:19:54,080 --> 00:19:56,720 Speaker 2: I'm just opening up as a possibility a nice little 336 00:19:56,720 --> 00:19:59,800 Speaker 2: Oval office meeting with those four US senators, maybe you 337 00:19:59,880 --> 00:20:02,320 Speaker 2: and a couple of the other chancellor, you know, heads 338 00:20:02,320 --> 00:20:05,200 Speaker 2: of medical call it medical schools around the country might 339 00:20:05,200 --> 00:20:08,199 Speaker 2: produce quicker results. With a face to face with with 340 00:20:08,240 --> 00:20:10,760 Speaker 2: Donald Trump, he occasionally does change his mind. 341 00:20:12,080 --> 00:20:13,920 Speaker 3: Yeah, we'll see. 342 00:20:14,520 --> 00:20:17,800 Speaker 2: I'm ready, I know you are, and again I'm trying 343 00:20:17,800 --> 00:20:18,199 Speaker 2: to help you. 344 00:20:18,280 --> 00:20:20,000 Speaker 3: That's all. We're going to take a break. 345 00:20:20,400 --> 00:20:22,480 Speaker 2: We got a nine thirty newscast and we've got callers 346 00:20:22,560 --> 00:20:24,320 Speaker 2: lined up on the other side. My guess is doctor 347 00:20:24,359 --> 00:20:27,520 Speaker 2: Michael Collins, Chancellor of the U mass Chan Medical School. 348 00:20:28,240 --> 00:20:30,119 Speaker 3: Let's keep going. The only lines that are opening right 349 00:20:30,160 --> 00:20:33,000 Speaker 3: now are six, one, seven, nine. We'll get to all 350 00:20:33,200 --> 00:20:35,760 Speaker 3: all the callers, I promise. Right after the news at 351 00:20:35,760 --> 00:20:36,360 Speaker 3: the bottom of the. 352 00:20:36,280 --> 00:20:40,240 Speaker 1: Hour, you're on Night Side with Dan Ray. I'm w 353 00:20:41,200 --> 00:20:42,439 Speaker 1: Boston's News Radio. 354 00:20:42,800 --> 00:20:44,199 Speaker 3: My guest, doctor Michael Collins. 355 00:20:44,240 --> 00:20:47,320 Speaker 2: He is the chancellor, longtime chancellor at the U mass 356 00:20:47,480 --> 00:20:52,040 Speaker 2: chan Medical School in Worcester, Massachusetts. Doctor Collins, I want 357 00:20:52,040 --> 00:20:55,160 Speaker 2: to hear what people have to say, and if there's 358 00:20:55,200 --> 00:20:57,520 Speaker 2: any other quick comment you wanted to make, I think 359 00:20:57,560 --> 00:21:00,399 Speaker 2: you've you've articulated this dilemma. 360 00:21:01,600 --> 00:21:04,639 Speaker 3: Very clearly. If not, we can just go right to 361 00:21:04,680 --> 00:21:05,440 Speaker 3: the calls. 362 00:21:06,160 --> 00:21:09,720 Speaker 4: I would make one out further point. We've had a 363 00:21:09,880 --> 00:21:14,600 Speaker 4: very important moment in Massachusetts. The governor has proposed four 364 00:21:14,680 --> 00:21:21,439 Speaker 4: hundred million dollars in state funds to bridge research gaps 365 00:21:21,480 --> 00:21:26,000 Speaker 4: which are being caused by the federal government. An extremely 366 00:21:26,040 --> 00:21:29,680 Speaker 4: important initiative. You know, there is that money that came 367 00:21:29,720 --> 00:21:32,840 Speaker 4: from the millionaire's tax and that could be used to 368 00:21:32,880 --> 00:21:36,600 Speaker 4: support the public institutions. It's because it's education and transportation, 369 00:21:37,240 --> 00:21:40,560 Speaker 4: and there is a way for people who want to say, hey, 370 00:21:40,600 --> 00:21:43,000 Speaker 4: I agree with Dan Ray, and we should support research. 371 00:21:43,080 --> 00:21:46,639 Speaker 4: And that's by supporting that that initiative, and the sooner 372 00:21:46,680 --> 00:21:50,439 Speaker 4: that money could get approved and out to our institutions, 373 00:21:50,680 --> 00:21:54,920 Speaker 4: the much better chance we have of keeping and retaining 374 00:21:55,040 --> 00:21:58,800 Speaker 4: and investing in our outstanding scientists. 375 00:21:58,880 --> 00:22:02,840 Speaker 3: Is that proposal language in the in the legislature. 376 00:22:03,680 --> 00:22:05,160 Speaker 4: I don't know if I would say it's languishing. 377 00:22:05,440 --> 00:22:09,120 Speaker 2: Okay, Okay, let's put it. Yeah, well that's fine. Look, 378 00:22:09,119 --> 00:22:10,960 Speaker 2: I understand you have to be a little political here. 379 00:22:11,160 --> 00:22:13,560 Speaker 2: I get that we don't want to a lot of 380 00:22:14,080 --> 00:22:17,320 Speaker 2: sensibilities that can't be offended. Let's uh, let's get to 381 00:22:17,400 --> 00:22:20,800 Speaker 2: phone calls here. First up is Stephen Bridgewater. Steve, you 382 00:22:20,880 --> 00:22:23,960 Speaker 2: were first a question or comment for doctor Michael Collins. 383 00:22:24,000 --> 00:22:27,240 Speaker 5: Go ahead, Steve, Yes, yes, I got a question for 384 00:22:27,359 --> 00:22:29,399 Speaker 5: the doctor. I know this might be a dumb question, 385 00:22:29,480 --> 00:22:32,040 Speaker 5: but I'm gonna go out on the ledge anyway. I 386 00:22:32,119 --> 00:22:35,200 Speaker 5: know research is involved, and it's very important, needless to say, 387 00:22:35,240 --> 00:22:37,360 Speaker 5: to do this kind of research. As a matter of fact, 388 00:22:37,400 --> 00:22:39,840 Speaker 5: I have a close friend that has als right now 389 00:22:39,880 --> 00:22:43,560 Speaker 5: and needs Every day he's deteriorating, he's getting worse, so 390 00:22:44,040 --> 00:22:45,719 Speaker 5: I don't know how much long he'll be around. 391 00:22:45,840 --> 00:22:48,120 Speaker 4: But with that. 392 00:22:48,520 --> 00:22:52,200 Speaker 5: Said, I think research is very important. But can I 393 00:22:52,200 --> 00:22:53,200 Speaker 5: ask this main question? 394 00:22:53,560 --> 00:22:56,520 Speaker 3: Go ahead? Yeah, you've done the preface, let's do the question. 395 00:22:56,600 --> 00:22:57,040 Speaker 4: Go ahead. 396 00:22:57,520 --> 00:23:01,720 Speaker 5: Okay, why does research have to us billions of dollars? 397 00:23:02,440 --> 00:23:03,160 Speaker 3: Great questions? 398 00:23:03,359 --> 00:23:05,879 Speaker 2: And I know that doctor Collins is going to have 399 00:23:05,920 --> 00:23:09,160 Speaker 2: a good answer, doctor Collins, you got the question. 400 00:23:09,359 --> 00:23:12,800 Speaker 4: Well ahead, Okay, so I got the questions. So we 401 00:23:12,880 --> 00:23:18,080 Speaker 4: have we have so just think about our medical school, uh, 402 00:23:18,400 --> 00:23:21,960 Speaker 4: just for a moment. So we have we in order 403 00:23:22,000 --> 00:23:27,120 Speaker 4: to do research, you need very highly complex technical facilities. 404 00:23:29,040 --> 00:23:34,399 Speaker 4: You have to you have to purchase incredibly expensive equipment. 405 00:23:35,240 --> 00:23:37,800 Speaker 4: You have to then bring the people. You have to 406 00:23:37,840 --> 00:23:40,399 Speaker 4: recruit the researchers that are going to come and do 407 00:23:40,440 --> 00:23:43,000 Speaker 4: the research, and the staff that they have. They have 408 00:23:43,080 --> 00:23:45,840 Speaker 4: to occur within an academic environment. So let me give 409 00:23:45,840 --> 00:23:49,000 Speaker 4: you an example. We have a we have some very 410 00:23:49,359 --> 00:23:55,320 Speaker 4: very precise, uh and delicate microscopes. When we got them, 411 00:23:55,480 --> 00:24:00,199 Speaker 4: they're called cryo EM cry on electron microscopy. When we 412 00:24:00,200 --> 00:24:04,400 Speaker 4: got ours, the next one was in Pittsburgh, and we 413 00:24:04,520 --> 00:24:07,880 Speaker 4: serve as a resource now to Massachusetts. We have four 414 00:24:07,920 --> 00:24:14,000 Speaker 4: of them now and so think of how the biomedical 415 00:24:14,000 --> 00:24:19,399 Speaker 4: research enterprise has blossomed in Massachusetts. We serve as a 416 00:24:19,480 --> 00:24:23,840 Speaker 4: resource to many entities. So it's actually you know, there's 417 00:24:23,920 --> 00:24:27,480 Speaker 4: collaboration and collegiality, so not everybody has to buy one 418 00:24:27,480 --> 00:24:30,520 Speaker 4: of these pieces of equipment. So in our instance, we're 419 00:24:30,600 --> 00:24:35,280 Speaker 4: a very research intensive institution. Now, second point, think of 420 00:24:35,560 --> 00:24:40,240 Speaker 4: all of the requirements that we have with animal facilities, 421 00:24:40,840 --> 00:24:45,920 Speaker 4: radiation safety, the need for us to assure that there 422 00:24:46,000 --> 00:24:49,760 Speaker 4: is patience safety. So we have things called institutional review boards, 423 00:24:50,040 --> 00:24:53,520 Speaker 4: and these are all federal mandates appropriate by the way, 424 00:24:53,720 --> 00:24:57,240 Speaker 4: not complaining about them, but they're all extremely expensive. In 425 00:24:57,359 --> 00:25:00,879 Speaker 4: order to have a research protoc call, in order to 426 00:25:00,960 --> 00:25:05,520 Speaker 4: do it well, in order to assure that the science 427 00:25:05,600 --> 00:25:09,680 Speaker 4: is conducted appropriately, there's an enormous amount of oversight is done, 428 00:25:09,880 --> 00:25:13,560 Speaker 4: and then just the actual work of the scientists. It's 429 00:25:13,680 --> 00:25:17,240 Speaker 4: it's you know, it's not like our eighth grade biology 430 00:25:17,280 --> 00:25:19,760 Speaker 4: class anymore, where you know, you put a little put 431 00:25:20,119 --> 00:25:21,919 Speaker 4: a little cover slip on a slide and put it 432 00:25:21,960 --> 00:25:27,720 Speaker 4: under a microscope. These are these experiments are extremely expensive. Now, 433 00:25:27,720 --> 00:25:31,199 Speaker 4: I think one thing you can be confident about is 434 00:25:31,240 --> 00:25:36,359 Speaker 4: that there's an intense scrutiny of the request for money. 435 00:25:36,480 --> 00:25:38,760 Speaker 4: So when I said that these go to study section, 436 00:25:39,240 --> 00:25:43,520 Speaker 4: that there's a there's a process back and forth between 437 00:25:43,560 --> 00:25:47,399 Speaker 4: the study sections and the investigators to assure that whatever 438 00:25:47,480 --> 00:25:50,399 Speaker 4: moneys the government are going to invest are appropriate for 439 00:25:50,480 --> 00:25:54,159 Speaker 4: the science being done. And I think you should be 440 00:25:54,320 --> 00:25:58,520 Speaker 4: very confident that here in Massachusetts, with the incredible institutions 441 00:25:58,560 --> 00:26:02,639 Speaker 4: we have. There's enormous oversight over the enterprise, and the 442 00:26:02,720 --> 00:26:06,240 Speaker 4: money is extremely well spent. If you just look at 443 00:26:06,240 --> 00:26:09,439 Speaker 4: the economic multipliers, just if you just think about it 444 00:26:09,480 --> 00:26:14,119 Speaker 4: for me, how this supports the economy. There's all of 445 00:26:14,160 --> 00:26:17,160 Speaker 4: the entities in Kendall Square, in a long one twenty 446 00:26:17,200 --> 00:26:20,920 Speaker 4: eight that are involved in either drug discovery or device 447 00:26:21,000 --> 00:26:26,280 Speaker 4: development and who have their home in Massachusetts benefit from 448 00:26:26,320 --> 00:26:28,359 Speaker 4: the research done at our institutions. 449 00:26:29,240 --> 00:26:31,760 Speaker 2: All right, Steve, I think that's a great question, and 450 00:26:31,800 --> 00:26:34,000 Speaker 2: I think you get an equally great answer, and I 451 00:26:34,040 --> 00:26:34,720 Speaker 2: thank you for the call. 452 00:26:34,920 --> 00:26:37,520 Speaker 5: Yeah, I think yes, I think that that answers the question. 453 00:26:37,640 --> 00:26:38,640 Speaker 4: Thank you, Thank you, Steve. 454 00:26:38,960 --> 00:26:41,040 Speaker 2: A great night, be right back with more calls. My 455 00:26:41,119 --> 00:26:43,560 Speaker 2: name's Dan Ray. This is Nightside. My guess is doctor 456 00:26:43,600 --> 00:26:46,960 Speaker 2: Michael Collins, Chancellor of U mass chan Medical School in Worcester, 457 00:26:47,480 --> 00:26:51,240 Speaker 2: and he is I think bemoaning and rightfully bemoaning the 458 00:26:51,400 --> 00:26:55,240 Speaker 2: cuts in medical research that are being imposed by the 459 00:26:55,280 --> 00:26:59,280 Speaker 2: Trump administration. I don't understand why cutting medical research from 460 00:26:59,280 --> 00:27:01,800 Speaker 2: somewhere in the city of forty seven to forty eight 461 00:27:01,840 --> 00:27:05,760 Speaker 2: billion dollars a year down to the high twenties. It's 462 00:27:05,800 --> 00:27:09,159 Speaker 2: a huge cut, and particularly at du mass which is 463 00:27:09,200 --> 00:27:14,960 Speaker 2: doing again cancer research and als. Just doctor Brown has 464 00:27:14,960 --> 00:27:19,320 Speaker 2: been amazing in terms of ALS research. And this is 465 00:27:19,359 --> 00:27:21,480 Speaker 2: the last thing in the federal There's a lot of 466 00:27:21,480 --> 00:27:24,000 Speaker 2: places to cut in the federal budget, but this is 467 00:27:24,040 --> 00:27:25,360 Speaker 2: not one of them in my opinion. 468 00:27:25,640 --> 00:27:26,800 Speaker 3: Stephen Cambridge is next. 469 00:27:26,800 --> 00:27:29,280 Speaker 2: We got abby and new report as well, and if 470 00:27:29,280 --> 00:27:31,000 Speaker 2: you'd like to try, we'll try to get one more 471 00:27:31,080 --> 00:27:33,439 Speaker 2: or two more calls in as well. Doctor Collins will 472 00:27:33,480 --> 00:27:36,719 Speaker 2: be with us until nine fifty eight back on Nightside 473 00:27:36,760 --> 00:27:37,240 Speaker 2: after this. 474 00:27:38,520 --> 00:27:43,720 Speaker 1: Night Side with Dan Ray on WBZ Boston's news radio. 475 00:27:44,600 --> 00:27:47,320 Speaker 2: But guess doctor Michael Collins, Chancellor of the University of 476 00:27:47,320 --> 00:27:51,320 Speaker 2: Massachusetts CHAN Medical School in Worcester. Stephen Cambridge is next. Steve, 477 00:27:51,400 --> 00:27:54,159 Speaker 2: welcome your question or comment for doctor Collins. 478 00:27:54,359 --> 00:27:57,919 Speaker 6: Good easying Dan, doctor Collins. Doctor Collins. Around the year 479 00:27:58,000 --> 00:28:01,320 Speaker 6: two thousand brands Collins. I don't know if he's a 480 00:28:01,359 --> 00:28:05,960 Speaker 6: relative or not. Head of the Genome okay, head of 481 00:28:05,960 --> 00:28:11,200 Speaker 6: the Genome Project, mapped the human genome. Bill Clinton predicted 482 00:28:11,240 --> 00:28:17,400 Speaker 6: a complete revolution in medicine. Doctor Collins that Doctor Collins 483 00:28:17,440 --> 00:28:20,560 Speaker 6: said that within ten to twelve years they would have 484 00:28:20,640 --> 00:28:25,480 Speaker 6: all diseases mapped out, and the CUIST would begin rolling 485 00:28:25,600 --> 00:28:30,480 Speaker 6: out universities all over the country started building big stem 486 00:28:30,600 --> 00:28:38,320 Speaker 6: cell research facilities. I think there was a lot of exaggeration, 487 00:28:38,760 --> 00:28:40,840 Speaker 6: and I think a lot of it was to secure 488 00:28:41,000 --> 00:28:46,040 Speaker 6: billions and billions of dollars which have since disappeared. I 489 00:28:46,080 --> 00:28:49,360 Speaker 6: think there's a lot of careerism and politics in the 490 00:28:49,440 --> 00:28:52,640 Speaker 6: research establishment, and I think there's a lot of room 491 00:28:52,720 --> 00:28:53,240 Speaker 6: for cutting. 492 00:28:53,520 --> 00:28:58,960 Speaker 4: How would you comment, Well, I think if you look 493 00:28:58,960 --> 00:29:01,840 Speaker 4: at what the doctor Collins was talking about, there have 494 00:29:01,920 --> 00:29:07,479 Speaker 4: been extraordinary discoveries made since the early two thousand. If 495 00:29:07,480 --> 00:29:10,840 Speaker 4: you just look at the discovery that doctor Mellow made 496 00:29:11,920 --> 00:29:17,600 Speaker 4: in RNA interference, that now has spawned numerous entities that 497 00:29:17,640 --> 00:29:21,720 Speaker 4: are making drugs. One in Massachusetts al Nylum that now 498 00:29:21,800 --> 00:29:25,000 Speaker 4: has I think it's four to eight products that come 499 00:29:25,080 --> 00:29:31,240 Speaker 4: directly from that technology. It's essentially it's like a Google 500 00:29:31,360 --> 00:29:38,920 Speaker 4: search for drug discovery. What doctor Mellow's discovery showed was 501 00:29:38,960 --> 00:29:43,880 Speaker 4: that a small RNA molecule can, like a Google search, 502 00:29:44,160 --> 00:29:47,840 Speaker 4: find a cell that in which it can interact and 503 00:29:47,880 --> 00:29:53,840 Speaker 4: it can actually it actually can treat a disease. I 504 00:29:53,880 --> 00:30:01,240 Speaker 4: think that's extraordinary accomplishment, and we've mapped now roughly seven 505 00:30:01,320 --> 00:30:06,280 Speaker 4: thousand rear diseases, and we have numerous scientists that are 506 00:30:06,360 --> 00:30:09,560 Speaker 4: working on trying to cure one of those rear diseases. 507 00:30:09,640 --> 00:30:12,560 Speaker 4: And you know, if your family's not affected by it, 508 00:30:12,600 --> 00:30:14,840 Speaker 4: then God bless you for that. But we deal with 509 00:30:15,400 --> 00:30:20,240 Speaker 4: lots of children and families, for instance, with canavan disease, 510 00:30:20,280 --> 00:30:22,720 Speaker 4: which you know, it's a big name and doesn't really 511 00:30:23,040 --> 00:30:26,240 Speaker 4: do much. But children, you know, for average persons, but 512 00:30:26,280 --> 00:30:30,400 Speaker 4: these children can't lift their heads of the off the mattress, 513 00:30:30,400 --> 00:30:32,640 Speaker 4: they can't feed themselves, they can't walk. And one of 514 00:30:32,680 --> 00:30:36,120 Speaker 4: our scientists discovered the gene with it was defective, has 515 00:30:36,200 --> 00:30:40,400 Speaker 4: now been able to deliver a gene therapy to patients, 516 00:30:40,720 --> 00:30:43,120 Speaker 4: and I can show you pictures of dozens of children 517 00:30:43,160 --> 00:30:47,760 Speaker 4: now with walkers but walking and their lives and the 518 00:30:47,800 --> 00:30:49,720 Speaker 4: lives of their family completely changed. 519 00:30:50,200 --> 00:30:53,280 Speaker 6: I think the impression doctor, I think the impression Doctor 520 00:30:53,320 --> 00:30:57,040 Speaker 6: Collins wanted to make ways that the American public in 521 00:30:57,160 --> 00:31:02,880 Speaker 6: general would see how many many wide spread diseases tremendously cured. 522 00:31:03,360 --> 00:31:07,280 Speaker 6: And I think that was a lot of exaggeration on 523 00:31:07,320 --> 00:31:10,959 Speaker 6: his part. I'm not putting down all exaggeration, but I 524 00:31:11,000 --> 00:31:18,080 Speaker 6: think within the research establishment they often exaggerate and primarily 525 00:31:18,160 --> 00:31:22,080 Speaker 6: to secure massive amounts of federal funding. 526 00:31:24,400 --> 00:31:27,320 Speaker 4: All Right, so we're just gonna we're just going to disagree. 527 00:31:27,560 --> 00:31:30,040 Speaker 3: Well, reasonable, reasonable people can disagree and do it all 528 00:31:30,080 --> 00:31:31,200 Speaker 3: the time. Heday. 529 00:31:31,760 --> 00:31:35,920 Speaker 6: One more quick point ahead. Nineteen seventy one, when Richard 530 00:31:36,000 --> 00:31:40,880 Speaker 6: Nixon began the War on cancer, the cancer establishment predicted 531 00:31:40,880 --> 00:31:44,760 Speaker 6: that by the by centennials nineteen seventy six, they would 532 00:31:44,800 --> 00:31:48,200 Speaker 6: have cured cancer. And they've been saying that ever since. 533 00:31:48,960 --> 00:31:53,040 Speaker 2: Okay, well, I don't think we should criticize them for trying, 534 00:31:53,080 --> 00:31:56,280 Speaker 2: that's for sure, Steve, Steve, thank you, thank you very much. 535 00:31:57,680 --> 00:32:01,040 Speaker 2: As you can see, not everybody is on the same 536 00:32:01,480 --> 00:32:05,160 Speaker 2: side of the street in this one politically, as are medically. 537 00:32:05,240 --> 00:32:08,400 Speaker 2: As you would hire Abby is in Newburyport. Abby, you're 538 00:32:08,440 --> 00:32:10,960 Speaker 2: on with doctor Michael Collins, chance for of the UMass 539 00:32:11,000 --> 00:32:11,480 Speaker 2: chan Medal. 540 00:32:11,680 --> 00:32:16,560 Speaker 7: Right, yeah, so I'm actually on your side. So I'm 541 00:32:16,600 --> 00:32:18,880 Speaker 7: in the same field, and I can breakfasce this by 542 00:32:18,920 --> 00:32:23,280 Speaker 7: saying that, Yeah, I've been in the healthcare, healthcare provider 543 00:32:23,320 --> 00:32:26,600 Speaker 7: for over thirty years here in Massachusetts, and of course, 544 00:32:27,040 --> 00:32:29,840 Speaker 7: you know, we have the best research schools around the world, 545 00:32:29,920 --> 00:32:35,000 Speaker 7: from Harbid yourself to be you two toughs as you wear, 546 00:32:35,440 --> 00:32:39,720 Speaker 7: Jana fabraam I t and I'm sure as you are 547 00:32:39,840 --> 00:32:45,240 Speaker 7: that we received the Nobel Award for research. I believe 548 00:32:45,240 --> 00:32:49,240 Speaker 7: it was just this year. However, my questions are being 549 00:32:49,280 --> 00:32:54,320 Speaker 7: on that side. Uh, do you think the schools could 550 00:32:54,400 --> 00:32:56,320 Speaker 7: use their endowments for research? 551 00:32:56,440 --> 00:32:57,080 Speaker 4: Is number one? 552 00:32:57,240 --> 00:33:00,680 Speaker 7: And number two is where do we cut from a 553 00:33:00,840 --> 00:33:06,920 Speaker 7: deficit in America? You know they always say, don't don't 554 00:33:06,920 --> 00:33:09,080 Speaker 7: come up with a problem with our resolutions. So where 555 00:33:09,160 --> 00:33:13,320 Speaker 7: could we cut to make up this deficit? Because America 556 00:33:13,360 --> 00:33:15,440 Speaker 7: doesn't want to be owned by any anyone else. 557 00:33:15,720 --> 00:33:18,440 Speaker 3: You're talking about the thirty seven trillion dollars in federal debt. 558 00:33:18,800 --> 00:33:24,200 Speaker 7: Yeah, okay, fine that yeah? And then lastly, you know, 559 00:33:24,320 --> 00:33:28,560 Speaker 7: like I said, if it meant you couldn't feed your family, right, 560 00:33:28,720 --> 00:33:32,680 Speaker 7: but the kids wanted a baton lesson? Is that like research? 561 00:33:32,840 --> 00:33:37,280 Speaker 2: So so a baton lesson in terms in terms in 562 00:33:37,400 --> 00:33:40,320 Speaker 2: terms of feeding your family and a baton lesson. 563 00:33:40,360 --> 00:33:43,680 Speaker 3: There's a pretty significant difference there. Research. 564 00:33:43,760 --> 00:33:47,160 Speaker 7: I mean, where should we where should we cut? I enderstand, 565 00:33:47,280 --> 00:33:48,200 Speaker 7: Oh okay, we got. 566 00:33:48,040 --> 00:33:51,040 Speaker 2: The question, got the question, Abby, And if you stay 567 00:33:51,120 --> 00:33:54,240 Speaker 2: right there, doctor Collins, again, I don't expect you to 568 00:33:54,240 --> 00:33:56,280 Speaker 2: pour over the federal budget. But I'm sure there are 569 00:33:56,320 --> 00:34:00,600 Speaker 2: other programs in the federal budget that people people think 570 00:34:00,640 --> 00:34:04,160 Speaker 2: are equally important. But I don't think there's anything that 571 00:34:04,480 --> 00:34:08,960 Speaker 2: compares to finding cures for diseases that affect all of 572 00:34:09,040 --> 00:34:14,600 Speaker 2: us indiscriminately, irrespective of what political philosophy we might embrace. 573 00:34:15,680 --> 00:34:17,520 Speaker 4: We just have a couple of reactions. First of all, 574 00:34:17,680 --> 00:34:21,360 Speaker 4: I don't think there are sides here. I think that 575 00:34:22,200 --> 00:34:25,480 Speaker 4: you know, people can respectfully disagree. I could tell the 576 00:34:25,520 --> 00:34:28,000 Speaker 4: prior caller about a patient that I took care of 577 00:34:28,080 --> 00:34:32,560 Speaker 4: in nineteen eighty that had testicular cancer, a twenty two 578 00:34:32,640 --> 00:34:35,080 Speaker 4: year old man who came into the hospital and was 579 00:34:35,120 --> 00:34:38,400 Speaker 4: dead in twenty four hours. That patient would get a 580 00:34:38,440 --> 00:34:41,000 Speaker 4: medicine today and would walk out of the hospital at 581 00:34:41,000 --> 00:34:45,520 Speaker 4: the end of the week completely cured. And and and 582 00:34:45,560 --> 00:34:47,880 Speaker 4: so that's, you know, maybe not every cancer. 583 00:34:48,120 --> 00:34:51,239 Speaker 7: I I agree with Norman, go ahead. 584 00:34:51,280 --> 00:34:53,920 Speaker 3: I'd let doctor Collins respond, Go ahead, doctor Collins. 585 00:34:53,920 --> 00:34:56,799 Speaker 4: Normous strides. Now to the point of endowments, This one 586 00:34:56,840 --> 00:35:00,839 Speaker 4: comes up all the time. And and you know, so 587 00:35:01,040 --> 00:35:05,279 Speaker 4: the institutions with large, you know, large numbers, is their endowments. Now, 588 00:35:05,280 --> 00:35:07,719 Speaker 4: I think that what people have to understand is when 589 00:35:07,719 --> 00:35:11,040 Speaker 4: a donor gives a gift, particularly a gift that goes 590 00:35:11,040 --> 00:35:14,880 Speaker 4: to the endowment, it goes to a specific purpose. So 591 00:35:15,080 --> 00:35:18,000 Speaker 4: for instance, if we're going to have the dan Ray 592 00:35:18,280 --> 00:35:22,239 Speaker 4: Chair of Pediatrics and a person gives a million five 593 00:35:22,280 --> 00:35:25,279 Speaker 4: to our medical school, I can't take the money in 594 00:35:25,360 --> 00:35:28,520 Speaker 4: the dan Ray Chair of Pediatrics and use it for 595 00:35:28,560 --> 00:35:32,640 Speaker 4: als research because the donor has told us exactly how 596 00:35:32,680 --> 00:35:34,919 Speaker 4: that's going to be done. And when that happens over 597 00:35:35,000 --> 00:35:38,279 Speaker 4: and over and over again, then the endowment grows up 598 00:35:38,320 --> 00:35:40,400 Speaker 4: to a bigger number. Now our endowment is, you know, 599 00:35:40,480 --> 00:35:44,480 Speaker 4: quite a bit smaller, even though we've had some great 600 00:35:44,520 --> 00:35:46,640 Speaker 4: improve in the last five years. Our endowment's gone up 601 00:35:46,640 --> 00:35:49,319 Speaker 4: two hundred and fifty million dollars, largely due to the 602 00:35:49,360 --> 00:35:54,040 Speaker 4: generosity of doctor Chan and his family and and and 603 00:35:54,120 --> 00:35:56,200 Speaker 4: in the long run that's going to be very helpful 604 00:35:56,239 --> 00:35:58,680 Speaker 4: to the institution. But I do think there's a bit 605 00:35:58,719 --> 00:36:02,759 Speaker 4: of a misunderstanding about out university endowments. Much of the 606 00:36:02,840 --> 00:36:06,440 Speaker 4: money is specific purpose money, and it can't be moved 607 00:36:06,440 --> 00:36:09,360 Speaker 4: from one cause to another. We have to honor the 608 00:36:09,400 --> 00:36:12,359 Speaker 4: wishes of the donor. And and now there are some 609 00:36:12,400 --> 00:36:14,400 Speaker 4: donors that say, here, you can use this for research, 610 00:36:14,680 --> 00:36:17,080 Speaker 4: and we do. The other thing you have to understand 611 00:36:17,160 --> 00:36:21,360 Speaker 4: is endowments typically put out four to five percent a 612 00:36:21,480 --> 00:36:25,960 Speaker 4: year of money. So if you have, you know, one 613 00:36:26,040 --> 00:36:30,000 Speaker 4: hundred million dollar endowment, you know you get four percent 614 00:36:30,080 --> 00:36:32,799 Speaker 4: of that or four million dollars that you can use 615 00:36:32,920 --> 00:36:35,960 Speaker 4: per year because the endowment is meant to, you know, 616 00:36:36,040 --> 00:36:39,680 Speaker 4: sustain the institution over the long run. So boards establish policies. 617 00:36:39,680 --> 00:36:42,480 Speaker 4: So I do think that the numbers get big and 618 00:36:42,480 --> 00:36:44,440 Speaker 4: people just say, why can't you go in and use 619 00:36:44,480 --> 00:36:46,759 Speaker 4: the endowment, And the answer is you can't because you 620 00:36:46,800 --> 00:36:48,320 Speaker 4: have to honor the wishes of the donor. 621 00:36:48,800 --> 00:36:51,600 Speaker 7: Right agree and thank thank you, thank you very much 622 00:36:51,600 --> 00:36:52,920 Speaker 7: for plaining that piece of it. 623 00:36:53,120 --> 00:36:56,000 Speaker 2: Okay, iby, Unfortunately we're flat out of time, but I 624 00:36:56,000 --> 00:36:56,839 Speaker 2: thank you for your call. 625 00:36:56,880 --> 00:36:57,680 Speaker 3: It's a great question. 626 00:36:57,760 --> 00:37:01,160 Speaker 7: Thank you, thank you. Okay, thank you so much, Thank 627 00:37:01,200 --> 00:37:01,799 Speaker 7: you very much. 628 00:37:02,040 --> 00:37:04,279 Speaker 2: All Right, to the callers in the line, you call 629 00:37:04,280 --> 00:37:06,319 Speaker 2: it a little late. Unfortunately, if you want to stay, 630 00:37:06,320 --> 00:37:08,840 Speaker 2: they were going to talk about a different topic on 631 00:37:08,880 --> 00:37:11,440 Speaker 2: the other side. But I want to thank doctor Michael Collins, 632 00:37:11,440 --> 00:37:13,400 Speaker 2: the chancellor of you mass Chan Medical School. 633 00:37:14,560 --> 00:37:16,080 Speaker 3: I suspect a lot of people. 634 00:37:16,120 --> 00:37:18,480 Speaker 2: We convinced a lot of people that think about this 635 00:37:18,600 --> 00:37:20,839 Speaker 2: issue tonight, and I think most of them who think 636 00:37:20,880 --> 00:37:23,680 Speaker 2: about it are going to realize that we the last 637 00:37:23,719 --> 00:37:26,200 Speaker 2: place we should be cutting is medical research grants. 638 00:37:26,280 --> 00:37:28,520 Speaker 3: So let's hope more. 639 00:37:28,600 --> 00:37:30,879 Speaker 4: Dan, thanks so much for letting me have the time 640 00:37:30,960 --> 00:37:31,440 Speaker 4: to talk with you. 641 00:37:31,640 --> 00:37:33,680 Speaker 2: Absolutely, and if there's some progress on it, let me 642 00:37:33,680 --> 00:37:35,560 Speaker 2: know and we'll bring it back. Okay, thank you so much. 643 00:37:35,680 --> 00:37:37,920 Speaker 4: Thank you very much, Michael Collins. 644 00:37:37,520 --> 00:37:40,319 Speaker 3: Chancellor at you mass chan Medical School. And thank god 645 00:37:40,360 --> 00:37:42,239 Speaker 3: that we have medical schools around the country. I'd like 646 00:37:42,280 --> 00:37:44,040 Speaker 3: to see us have more. We've talked about that. 647 00:37:44,440 --> 00:37:46,879 Speaker 2: Back on Night's side right after the ten o'clock news, 648 00:37:46,880 --> 00:37:49,719 Speaker 2: we're going to talk about the federal shutdown and it's 649 00:37:49,719 --> 00:37:53,160 Speaker 2: implications and how it might or might not end, and 650 00:37:53,239 --> 00:37:55,600 Speaker 2: maybe what sort of a timetable we might anticipate. 651 00:37:56,120 --> 00:37:58,320 Speaker 3: Be back on Nightside right after the ten o'clock news,