Author

Saarang Panchavati

University of California, Los AngelesORCID 0000-0003-1658-0364Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:electronic health records· 2 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Abigail Green‐SaxenaiD· 1 shared Angier O. AlleniD· 1 shared Anna Lynn-Palevsky· 1 shared Christopher Barton· 1 shared Corey Arnold· 1 shared David W. ShimabukuroiD· 1 shared Dongwoo Lee· 1 shared Emily PellegriniiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Abigail Green‐SaxenaORCID

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2 papers

Recent·Most cited

NeurosciencePLoS ONEPeer-reviewedOct 1, 2026

Effect of Large Language Models on P300 Speller Performance with Cross-Subject Training

Nithin Parthasarathy, James Soetedjo, Saarang Panchavati…·William Speier

This study evaluates how large language models improve P300 speller performance, showing up to 75% gains in typing speed and approaching theoretical limits.

2 citationstop 2%

electronic health recordsstatistical model

𝕏 PostBluesky

BioinformaticsHealth Informatics JournalPeer-reviewedDec 30, 2019

Multicenter validation of a machine learning algorithm for 48 hour all-cause mortality prediction

Hamid Mohamadlou, Saarang Panchavati, Jacob Calvert…·Ritankar Das

This paper validates a machine learning algorithm for predicting 48-hour all-cause mortality across multiple centers, showing high AUROC values compared to qSOFA and MEWS.

20 citations

electronic health recordsmachine learning (classical)

𝕏 PostBluesky