Author

Kendall A. Flaharty

National Institutes of HealthORCID 0009-0000-9473-1354Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Benjamin D. SolomoniD· 2 shared Dat DuongiD· 2 shared Ping HuiD· 2 shared Rebekah L. WaikeliD· 2 shared Suzanna E. Ledgister HanchardiD· 2 shared Amna A. OthmaniD· 1 shared Carlos R. FerreiraiD· 1 shared Francis RossignoliD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Benjamin D. SolomonORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Genetic & Genomic Medicinenpj AgingPeer-reviewedMay 3, 2025

Assessing Large Language Model Performance Related to Aging in Genetic Conditions

Amna A. Othman, Kendall A. Flaharty, Suzanna E. Ledgister Hanchard…·Benjamin D. Solomon

This study evaluates how large language models handle age-related aspects of 282 genetic conditions by generating medical vignettes and dialogues, finding no age-based biases but some performance differences.

4 citations

statistical modelbenchmarking

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Genetic & Genomic MedicineJournal of Inherited Metabolic DiseasePeer-reviewedMay 1, 2025

Deep Learning Study of Alkaptonuria Spinal Disease Assesses Global and Regional Severity and Detects Occult Treatment Status

Kendall A. Flaharty, Vibha Chandrasekar, Irene J. Castillo…·Benjamin D. Solomon

This study uses deep learning to assess spinal severity in alkaptonuria, predict treatment status, and compare performance with clinicians.

2 citations

humanimaging

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