Health
How Trump’s Medical Research Cuts Would Hit Colleges and Hospitals in Every State
A proposal by the Trump administration to reduce the size of grants for institutions conducting medical research would have far-reaching effects, and not just for elite universities and the coastal states where many are located.
Also at risk could be grants from the National Institutes of Health to numerous hospitals that conduct clinical research on major diseases, and to state universities across the country. North Carolina, Missouri and Pennsylvania could face disproportionate losses, because of the concentration of medical research in those states.
N.I.H. funding in 2024
Per capita Based on spending in the 2024 fiscal year.
|
Total
In the 2024 fiscal year, the N.I.H. spent at least $32 billion on nearly 60,000 grants, including medical research in areas like cancer, genetics and infectious disease. Of that, $23 billion went to “direct” research costs, such as microscopes and researchers’ salaries, according to an Upshot analysis of N.I.H. grant data.
The other $9 billion went to the institutions’ overhead, or “indirect costs,” which can include laboratory upkeep, utility bills, administrative staff and access to hazardous materials disposal, all of which research institutions say is essential to making research possible.
The N.I.H. proposal, which has been put on hold by a federal court, aims to reduce funding for those indirect costs to a set 15 percent rate that the administration says would save about $4 billion a year. The Upshot analysis estimates that a 15 percent rate would have reduced funding for the grants that received N.I.H. support in 2024 by at least $5 billion. The White House said the savings would be reinvested in more research, but the rate cuts would open up sizable budget holes in most projects at research institutions.
It is not clear whether those organizations can fill the gaps with other funding sources or by shifting how they apply for grants. Instead, many officials at universities and hospitals have said that they may have to pull back on medical or scientific research.
“It’s not an overstatement to say that a slash this drastic in total research funding slows research,” said Heather Pierce, senior director for science policy at the Association of American Medical Colleges, which has sued along with other education and hospital associations to block the policy. And slower scientific progress, she said, would affect anyone who depends on the development of new treatments, medical interventions and diagnostic tools.
We estimate that virtually all universities and hospitals would see fewer funds on similar projects in the future. The 10 institutions that receive the most money from N.I.H. stand to lose more than $100 million per year on average.
To understand how the change would work, let’s look at one grant for about $600,000 sent last year to the University of Alabama at Birmingham to study whether exercise can improve memory for people with epilepsy.
The N.I.H. sent the university this funding in the 2024 fiscal year, as part of a multiyear grant. A majority of the money went to direct costs associated with the study. And an additional 45 percent went to indirect costs supporting the research, like building maintenance and administrative staff. Under the new rules, the university would receive a 15 percent rate on such grants, bringing the total down. That would have been a funding loss of nearly $130,000 on this project alone.
The calculation above, which we have repeated for every grant paid last year, is a bit simplified. In reality, the researchers would lose even more money than we’ve shown, because of the way indirect funding is calculated (see our methodology at the bottom of this article).
Our analysis also makes some other conservative assumptions given the policy’s uncertainty. We assume, for instance, that the new 15 percent rate is a flat rate that all grantees would receive, and not a maximum rate (a distinction left unclear in the N.I.H. guidance). We also assume that the change applies not just to institutions of higher education, but also to all kinds of grantees, including hospitals.
In a statement, the White House indicated it would reserve any savings for additional research grants. “Contrary to the hysteria, redirecting billions of allocated N.I.H. spending away from administrative bloat means there will be more money and resources available for legitimate scientific research, not less,” said Kush Desai, a White House spokesman.
The N.I.H. announcement, however, coincides with the Trump administration’s moves to cut spending across the government, and with the N.I.H.’s withholding of funding for grants — their direct and indirect costs alike — in apparent conflict with separate court orders.
The N.I.H. guidance document includes a number of conflicting statements and statistics the Upshot could not reconcile. The N.I.H. also declined to answer questions about the policy and about its public-facing data tracking grant spending.
The N.I.H. since 1950 has provided these overhead funds in a formulaic way, and since 1965, the government has used a rate individually calculated for each institution. Federal officials review cost summaries, floor plans and other information to determine that rate. That number can be higher for institutions in more expensive parts of the country, or for those that use more energy-intensive equipment. The proposal from the Trump administration would set aside those differences in standardizing the rate at 15 percent for every grantee.
The lists below estimate what would have happened to the 10 universities and hospitals that received the most N.I.H. grant money in the 2024 fiscal year, if the formula change had been in effect then.
University of California, San Francisco San Francisco
Johns Hopkins University
Baltimore
Washington University
St. Louis University of Michigan
Ann Arbor, Mich.
University of Pennsylvania
Philadelphia
University of Pittsburgh Pittsburgh, Pa.
Columbia University Health Sciences
New York
Yale University
New Haven, Conn. Stanford University
Stanford, Calif.
University of Washington
Seattle
Source: National Institutes of Health Based on spending in the 2024 fiscal year.
Massachusetts General Hospital
Boston Vanderbilt University Medical Center
Nashville
Brigham and Women’s Hospital
Boston
Boston Children’s Hospital Boston
University of Texas MD Anderson Cancer Center
Houston
Children’s Hospital of Philadelphia
Philadelphia Dana-Farber Cancer Institute
Boston
Cincinnati Childrens Hospital Medical Center
Cincinnati
Beth Israel Deaconess Medical Center Boston
Cedars-Sinai Medical Center
Los Angeles
Source: National Institutes of Health
Based on spending in the 2024 fiscal year, which extends from Oct. 1 to Sept. 30.Largest N.I.H. grant recipients among colleges, universities and medical schools
Name
Total ’24 Funding
Estimated reduction
$793 mil.
$121 mil.
$788 mil.
$136 mil.
$717 mil.
$108 mil.
$708 mil.
$119 mil.
$652 mil.
$129 mil.
$632 mil.
$115 mil.
$611 mil.
$111 mil.
$602 mil.
$131 mil.
$584 mil.
$107 mil.
$542 mil.
$86 mil.
Largest N.I.H. grant recipients among hospitals
Name
Total ’24 Funding
Estimated reduction
$641 mil.
$98 mil.
$468 mil.
$71 mil.
$364 mil.
$77 mil.
$218 mil.
$54 mil.
$180 mil.
$39 mil.
$162 mil.
$32 mil.
$161 mil.
$35 mil.
$153 mil.
$28 mil.
$117 mil.
$23 mil.
$100 mil.
$23 mil.
If courts allow the change to move forward, some of its consequences are hard to predict.
Advocates for the policy change note that these organizations receive numerous other federal subsidies. Most universities and research hospitals are nonprofits that pay no federal taxes, for example. The N.I.H. announcement also noted that these same institutions often accept grants from charitable foundations that offer much lower overhead rates than the federal government, a signal that universities and hospitals willingly pursue research opportunities with less supplemental funding.
Because the indirect payments are based on broad formulas and not specific line items, critics say institutions may be diverting these federal dollars into unaccountable funds to pay for programs that taxpayers can’t see, such as the kinds of diversity, equity and inclusion programs targeted by the Trump administration.
“That’s how you get things like the ability of administrators to use larger overhead pools of money to build out D.E.I. bureaucracies, or to fund Ph.D. programs in the humanities,” said Jay Greene, a senior research fellow in the Center for Education Policy at the Heritage Foundation, a conservative research group. Mr. Greene was the coauthor of a 2022 article urging the N.I.H. to cut or eliminate indirect grant funding. But he did not have specific examples to cite of research funds being spent in this way.
Researchers say the indirect funds have a branding problem, but are a necessary component of research.
“The term ‘indirect costs’ or the alternative term ‘overhead’ sounds dangerously close to ‘slush fund’ to some people,” said Jeremy Berg, who was the director of the National Institute of General Medical Sciences at the N.I.H. from 2003 to 2011. “There are real costs somebody has to pay for, and heating and cooling university laboratory buildings is a real cost.”
Some grant recipients already receive low overhead payments, but a large majority of them currently receive more than 15 percent, meaning they will need to make budgetary changes to absorb the loss. Among the 2024 grants that we analyzed, institutions that received more than $1 million in N.I.H. support got an average of 40 cents of indirect funding for every dollar of direct funding.
As a share of direct funding
Source: National Institutes of Health
Calculated for 613 institutions that received at least $1 million in funding in fiscal year 2024. Federally negotiated rates are higher than these.
Distribution of overhead funding at N.I.H.-funded institutions in 2024
Universities and hospitals may adjust their overall budgets to keep supporting medical research by cutting back on other things they do. Some might be able to raise money from donors to fill the shortfalls, though most universities are already raising as much philanthropic money as they can.
But many research institutions have said they would adjust by simply doing less medical research, because they would not be able to afford to do as much with less government help.
Universities and hospitals might also shift the kinds of research they do, avoiding areas that require more lab space, regulatory compliance or high-tech equipment, and focusing on types of research that will require them to provide less overhead funding themselves. That may mean disproportionate reductions in complex areas of research like genetics.
Those effects may be spread unevenly across the research landscape, as some organizations find a way to adjust, while others abandon medical research altogether.
We’ve compiled a list of institutions that received at least $1 million in N.I.H. funding in the 2024 fiscal year, along with our estimates of how much less they would have gotten under the new policy. Most of these institutions are universities or hospitals, but there are also some private companies and nonprofit research groups. Our numbers tend to be underestimates of the cuts.
New York
New York New York
New York
New York
Bronx, N.Y.
Rochester, N.Y. Ithaca, N.Y.
Amherst, N.Y.
New York
New York
Stony Brook, N.Y. New York
Buffalo, N.Y.
Manhasset, N.Y.
Cold Spring Harbor, N.Y.
Syracuse, N.Y. New York
Brooklyn, N.Y.
Orangeburg, N.Y.
New York
Albany, N.Y. Binghamton, N.Y.
New York
New York
Albany, N.Y.
New York New York
Syracuse, N.Y.
New York
Troy, N.Y.
New York City, N.Y. New York
New York
Albany, N.Y.
Valhalla, N.Y.
Mineola, N.Y. Rochester, N.Y.
White Plains, N.Y.
Menands, N.Y.
Flushing, N.Y.
New York Upton, N.Y.
New York
Bronx, N.Y.
New York
New York New York
Queens, N.Y.
Potsdam, N.Y.
New York
Buffalo, N.Y. Utica, N.Y.
New York
Niskayuna, N.Y.
New York
New York Jamaica, N.Y.
New York
New York
New York
Old Westbury, N.Y. Clifton Park, N.Y.
Garrison, N.Y.
Other
About our analysis
To estimate changes in funding, we relied on data from RePORT, the N.I.H.’s online registry of grants and projects. We limited our analysis to grants listed within the 50 U.S. states, the District of Columbia or Puerto Rico. We also limited it to grants where the amount of indirect funding was known and where the combined indirect and direct funding was within five percent of the listed total funding. These filters resulted in removing many grants to private organizations such as domestic for-profits. We calculated how much indirect funding each grant would have received under the new guidance by multiplying the listed direct funding amount by 15 percent. We then compared that number to the listed indirect funding amount for each great to estimate the impact of the policy.
There are two reasons our calculations are most likely conservative estimates of true reductions in funding. First, only a portion of the direct funding for each grant is considered to be “eligible” for the purposes of calculating indirect funding. For example, laboratory equipment and graduate student tuition reimbursements are deducted from the direct costs before applying the negotiated overhead rate, whereas our calculations assumed 100 percent of the listed direct costs would be eligible. We performed a more accurate version of our calculations for the 10 universities and 10 hospitals receiving the most N.I.H. funds by inferring their eligible direct costs from their reported negotiated rates. When we did this, we saw an additional increase in losses of about 20 percent.
Second, we applied a 15 percent rate to all grants in the database, including those with an initial indirect rate below 15 percent. An analysis by James Murphy helped inform this approach. According to our analysis, then, some grants would actually receive more money under the new guidance. If the new rate operated more like a cap — and grants with rates currently below 15 percent did not change — the overall reductions in funding would be larger, as the reductions would no longer be offset by some small number of funding increases.
Institution
No. of grants
Total ’24 Funding ▼
Estimated change
1,024
$611 mil.
-$111 mil.
596
$480 mil.
-$63 mil.
714
$453 mil.
-$93 mil.
540
$293 mil.
-$55 mil.
331
$197 mil.
-$54 mil.
311
$184 mil.
-$35 mil.
384
$180 mil.
-$32 mil.
221
$102 mil.
-$21 mil.
204
$83 mil.
-$13 mil.
195
$76 mil.
-$13 mil.
129
$69 mil.
-$17 mil.
176
$64 mil.
-$13 mil.
124
$50 mil.
-$9 mil.
77
$48 mil.
-$9 mil.
61
$39 mil.
-$9 mil.
78
$34 mil.
-$12 mil.
72
$25 mil.
-$5 mil.
49
$24 mil.
-$3 mil.
29
$23 mil.
-$2 mil.
17
$17 mil.
-$3 mil.
20
$14 mil.
-$3 mil.
30
$13 mil.
-$3 mil.
38
$13 mil.
-$2 mil.
28
$12 mil.
-$2 mil.
7
$11 mil.
-$3 mil.
38
$11 mil.
-$2 mil.
13
$11 mil.
-$1 mil.
20
$10 mil.
-$1 mil.
33
$10 mil.
-$2 mil.
25
$10 mil.
-$3 mil.
25
$9 mil.
-$1 mil.
2
$8 mil.
-$1 mil.
2
$8 mil.
+$371k
9
$7 mil.
-$2 mil.
7
$6 mil.
-$1 mil.
17
$6 mil.
-$1 mil.
9
$6 mil.
-$1 mil.
20
$6 mil.
-$759k
10
$5 mil.
-$1 mil.
10
$5 mil.
-$961k
14
$5 mil.
-$540k
9
$5 mil.
-$535k
1
$5 mil.
-$1 mil.
3
$4 mil.
-$1 mil.
10
$3 mil.
-$158k
1
$3 mil.
+$213k
1
$3 mil.
+$144k
9
$3 mil.
-$607k
15
$3 mil.
-$647k
9
$2 mil.
-$270k
13
$2 mil.
-$313k
5
$2 mil.
-$745k
4
$2 mil.
-$738k
4
$2 mil.
-$259k
3
$2 mil.
-$459k
8
$2 mil.
-$142k
6
$1 mil.
-$333k
5
$1 mil.
-$415k
1
$1 mil.
+$113k
3
$1 mil.
-$35k
4
$1 mil.
-$336k
3
$1 mil.
-$199k
3
$1 mil.
-$315k
2
$1 mil.
-$27k
56
$16 mil.
-$1 mil.
Total
5,887
$3.3 bil.
-$618 mil.
Health
Common nighttime noise exposure may trigger heart problems, study suggests
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Living near heavy traffic could negatively impact your heart health.
A European study, published in the journal Environmental Research, found that exposure to nighttime road traffic noise is linked to changes in the blood, leading to worsened cholesterol and cardiovascular risks.
The researchers considered data from the U.K. Biobank, Rotterdam Study, and Northern Finland Birth Cohort 1966, including more than 272,000 adults over the age of 30, according to a press release.
Nighttime road noise exposure was estimated at all participants’ homes based on national noise maps. Researchers also took blood samples to measure the participants’ metabolic biomarkers for disease, then mapped the link between nightly noise levels and existence of biomarkers.
Exposure to loud noise was associated with increased concentrations of cholesterol-related biomarkers. (iStock)
The study found that people exposed to louder noise at night — especially sounds above 55 decibels — showed changes in 48 different substances in their blood. Twenty of these associations “remained robust” throughout all cohorts.
Exposure to loud noise was associated with increased concentrations of cholesterol-related biomarkers, especially LDL “bad” cholesterol, IDL (intermediate-density lipoprotein) and unsaturated fatty acids.
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As noise levels increased, starting at around 50 decibels, cholesterol markers rose steadily, the release stated.
The authors concluded that this study “provides evidence that nighttime road traffic noise exposure from 50 dB upward is associated with alterations in blood cholesterol and lipid profiles in adults.”
Researchers noted a link between traffic noise and cardiometabolic disease. (iStock)
Study co-author Yiyan He, doctoral researcher at the University of Oulu in Finland, noted that in this type of research, small effect sizes are expected, and environmental exposures such as traffic noise are “typically modest.”
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“Despite this, we observed statistically robust and consistent associations across many biomarkers, especially those related to LDL and IDL lipoproteins,” she told Fox News Digital.
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“We also identified a clear exposure-response pattern starting at around 50 dB, suggesting that metabolic changes become more evident as noise levels increase.”
This aligns with public health guidance, as the World Health Organization recommends lower nighttime noise limits at around 40 to 45 dB, Yiyan He added.
“This finding may clarify the association between traffic noise and cardiometabolic diseases,” the researchers wrote. (iStock)
“The 55 dB level is often used as an interim benchmark associated with substantial noise annoyance and sleep disturbance,” she said. “In our study, we observed associations not only at 55 dB, but also indications of effects emerging at around 50 dB.”
The strength and consistency of the cholesterol-related associations were surprising, as these changes are usually “subtle.”
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“Instead, we found consistent associations across multiple large European cohorts, which strengthens confidence that the findings may reflect real biological patterns,” Yiyan He went on. “We were also interested to see that effects were minimal below ~50 dB, suggesting a possible threshold-like pattern.”
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The researcher noted that these findings were consistent across genders, education levels and obesity status.
The study was restricted to White Europeans, which posed a limitation. There was also a lack of information on the fasting status in the UK Biobank.
Changes in cholesterol levels were more severe than researchers expected. (iStock)
“Fasting can influence levels of certain metabolites, particularly fatty acids,” Yiyan He said. “However, based on UK Biobank documentation, fewer than 10% of participants were fasting for at least eight hours, and our main findings focused on cholesterol-related biomarkers, which are generally less sensitive to short-term fasting.”
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The researchers also lacked information on bedroom location, indoor noise exposure and time spent at home.
“These factors may introduce non-differential exposure misclassification,” Yiyan He said. “Additionally, noise exposure estimates were based on participants’ temporary residential addresses at the time of blood sampling, without considering the duration of residence.”
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“Many of these limitations would tend to bias results toward the null, so the consistent associations we observed remain noteworthy.”
Experts recommend taking measures to limit traffic noise at night. (iStock)
Based on this latest research, Yiyan He noted that nighttime noise is a “health-relevant exposure,” not just “an annoyance.”
“Our findings suggest that nighttime traffic noise may subtly but consistently affect metabolic health,” she said. “While the changes in cholesterol and lipid levels for any one individual are small, traffic noise affects a very large number of people, which means the potential public health impact could be substantial.”
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The researcher recommends taking measures like improving sound insulation, using noise-reducing strategies and placing bedrooms on the quieter side of the home when possible.
“Because sleep is a key pathway linking noise to health, protecting the nighttime sleep environment is especially important,” she added.
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