Author

Leslie Vnenchak

University of Pennsylvania

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1

Signature Assays, Organisms & Methods

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Assay:clinical cohort / trial· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Apoorva S. KelkariD· 1 shared Arnav Gupta· 1 shared Denise Y. HarveyiD· 1 shared H. Branch CoslettiD· 1 shared John Dominic MedagliaiD· 1 shared Olufunsho K. FaseyitaniD· 1 shared Roy H. HamiltoniD· 1 shared Shreya ParchureiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioengineering

Apoorva S. KelkarORCID

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Author profile →

1 paper

Recent·Most cited

Predicting Post-Stroke Aphasia Speech Performance from Multimodal Data with Explainable Machine Learning

Shreya Parchure, Arnav Gupta, Apoorva S. Kelkar, Leslie Vnenchak, Olufunsho K. Faseyitan, John Dominic Medaglia, Denise Y. Harvey, H. Branch Coslett, Roy H. Hamilton

This paper develops a machine learning model to predict post-stroke aphasia speech performance using multimodal data, achieving high accuracy with explainable features.

bioRxiv · Feb 5, 2026 · PreprintBioengineering