Author

Kristine A. Willis

National Institutes of HealthORCID 0000-0003-1790-0753Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Scientific Communication & Education· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Brad L. BusseiD· 2 shared George M. SantangeloiD· 2 shared B. Ian HutchinsiD· 1 shared James M. Tucker· 1 shared Matthew T. DavisiD· 1 shared Payam MeyeriD· 1 shared Rebecca A. MeserolliD· 1 shared Salsabil Arabi· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersScientific Communication & Education

Brad L. BusseORCID

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2 papers

Recent·Most cited

Scientific Communication & EducationbioRxivPreprintDec 19, 2025

A thirty-year trend of increasing clinical orientation at the National Institutes of Health

Brad L. Busse, James M. Tucker, Summer E. Allen…·Kristine A. Willis

The paper analyzes NIH funding opportunities over 32 years and finds they became more numerous and clinically oriented, independent of clinician-scientist workforce representation.

1 citation

statistical modelbenchmarking

𝕏 PostBluesky

Scientific Communication & EducationbioRxivPreprintDec 17, 2025

Prediction of transformative breakthroughs in biomedical research

Matthew T. Davis, Brad L. Busse, Salsabil Arabi…·George M. Santangelo

This paper identifies an AI/ML-detected signature in co-citation networks that predicts biomedical research breakthroughs up to 12 years in advance.

2 citations

machine learning (classical)benchmarking

𝕏 PostBluesky