This work examines the contribution of NIH funding to published research associated with 210 new molecular entities (NMEs) approved by the Food and Drug Administration from 2010-2016. We identified >2 million publications in PubMed related to the 210 NMEs ( = 131,092) or their 151 known biological targets ( = 1,966,281). Of these, >600,000 (29%) were associated with NIH-funded projects in RePORTER. This funding included >200,000 fiscal years of NIH project support (1985-2016) and project costs >$100 billion (2000-2016), representing ∼20% of the NIH budget over this period. NIH funding contributed to every one of the NMEs approved from 2010-2016 and was focused primarily on the drug targets rather than on the NMEs themselves. There were 84 first-in-class products approved in this interval, associated with >$64 billion of NIH-funded projects. The percentage of fiscal years of project funding identified through target searches, but not drug searches, was greater for NMEs discovered through targeted screening than through phenotypic methods (95% versus 82%). For targeted NMEs, funding related to targets preceded funding related to the NMEs, consistent with the expectation that basic research provides validated targets for targeted screening. This analysis, which captures basic research on biological targets as well as applied research on NMEs, suggests that the NIH contribution to research associated with new drug approvals is greater than previously appreciated and highlights the risk of reducing federal funding for basic biomedical research.
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http://dx.doi.org/10.1073/pnas.1715368115 | DOI Listing |
Nat Commun
January 2025
Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA.
AI decision support systems can assist clinicians in planning adaptive treatment strategies that can dynamically react to individuals' cancer progression for effective personalized care. However, AI's imperfections can lead to suboptimal therapeutics if clinicians over or under rely on AI. To investigate such collaborative decision-making process, we conducted a Human-AI interaction study on response-adaptive radiotherapy for non-small cell lung cancer and hepatocellular carcinoma.
View Article and Find Full Text PDFNat Commun
January 2025
Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, USA.
Early investigation revealed a reduced risk of SARS-CoV-2 infection among social contacts of COVID-19 vaccinated individuals, referred to as indirect protection. However, indirect protection from SARS-CoV-2 infection-acquired immunity and its comparative strength and durability to vaccine-derived indirect protection in the current epidemiologic context of high levels of vaccination, prior infection, and novel variants are not well characterized. Here, we show that both vaccine-derived and infection-acquired immunity independently yield indirect protection to close social contacts with key differences in their strength and waning.
View Article and Find Full Text PDFJ Neurointerv Surg
January 2025
Radiology & Neurosurgery, University of California San Francisco, San Francisco, California, USA.
JACC Clin Electrophysiol
January 2025
Division of Cardiology, Department of Medicine, University of California-Los Angeles, Los Angeles, California, USA; UCLA Cardiac Arrhythmia Center, David Geffen School of Medicine, UCLA, Los Angeles, California, USA; Neurocardiology Research Program of Excellence, David Geffen School of Medicine, UCLA, Los Angeles, California, USA; Center for Interventional Programs, UCLA Health System, Los Angeles, California, USA. Electronic address:
Brain Stimul
January 2025
Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. Electronic address:
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