Author

Nidhi Patel

University of South Carolina

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

Biology Disciplines

Click to filter author papers

Genetics· 1 Molecular Biology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 3 Organism:human· 3 Research Focus:drug response / drug discovery· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:electrophysiology· 1

Frequent Co-Authors

Brett M. KronckeiD· 2 shared Devyn MitchelliD· 2 shared Loren R. VanagsiD· 2 shared Alex SheniD· 1 shared Andrew Michael GlazeriD· 1 shared Björn C. KnollmanniD· 1 shared Carolyn E. BanisteriD· 1 shared Dan M. RodeniD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetics

Brett M. KronckeORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

StarTrace: A Multiplex Organoid Avatar Drug Testing Platform for Personalized Medicine

Sana Khalili, Shrey Patel, Nidhi Patel, V. Moy, Sawyer Lyons, Emma Gray, Riley Brents, Carolyn E. Banister, Sidney E. Morrison, Phillip Buckhaults

StarTrace is a drug testing platform using patient-derived organoid avatars to rank drug responses and guide personalized therapy by multiplexing organoids with clonal barcoding.

BMC Cancer · Sep 15, 2026Peer-reviewedMolecular Biology

Patient-derived Cellular Models of Polygenic Scores: Application to Long QT Syndrome

Devyn Mitchell, Matthew J. O’Neill, Loren R. Vanags, Nidhi Patel, Theresa Strickland, Giovanni Davagustto, Moore Benjamin Shoemaker, Joe‐Elie Salem, Brett M. Kroncke

The paper uses patient-derived iPSC-CMs to show that polygenic scores influence cardiac electrophysiology and drug response in Long QT Syndrome.

bioRxiv · Aug 5, 2025 · PreprintGenetics

EFP Analyzer: A fast, accurate, and easy-to-teach program for analyzing Extracellular Field Potentials from iPSC-derived cardiomyocytes

Nidhi Patel, Alex Shen, Yuko Wada, Marcia A. Blair, Devyn Mitchell, Loren R. Vanags, Suah Woo, Matthew Ku, Kundivy Dauda, William Morris, Minjoo Yang, Björn C. Knollmann, Dan M. Roden, Joe-Elie Salem, Andrew Michael Glazer, Brett M. Kroncke

The paper introduces EFP-Analyzer, a software tool for analyzing extracellular field potentials from iPSC-derived cardiomyocytes, showing it accurately measures intervals and detects drug or mutation effects.

Scientific Reports · Mar 15, 2025Peer-reviewedPharmacology & Toxicology