SIMCOMP: A Hybrid Soft Clustering of Metagenome Reads. - Shruthi Prabhakara; Raj Acharya (PRIB, 2010)

A two-way multi-dimensional mixture model for clustering metagenomic sequences. - Shruthi Prabhakara; Raj Acharya (BCB, 2011)

A Two-Way Bayesian Mixture Model for Clustering in Metagenomics. - Shruthi Prabhakara; Raj Acharya (PRIB, 2011)

Predicting V(D)J Recombination Using Conditional Random Fields. - Raunaq Malhotra; Shruthi Prabhakara; Raj Acharya (PRIB, 2012)

Estimating Viral Haplotypes in a Population Using k-mer Counting. - Raunaq Malhotra; Shruthi Prabhakara; Mary Poss; Raj Acharya (PRIB, 2013)

Mutant-Bin: Unsupervised Haplotype Estimation of Viral Population Diversity Without Reference Genome. - Shruthi Prabhakara; Raunaq Malhotra; Raj Acharya; Mary Poss (J. Comput. Biol., 2013)

Supervised Transfer Learning at Scale for Medical Imaging. - Basil Mustafa; Aaron Loh; Jan Freyberg; Patricia MacWilliams; Megan Wilson; Scott Mayer McKinney; Marcin Sieniek; Jim Winkens; Yuan Liu; Peggy Bui; Shruthi Prabhakara; Umesh Telang; et al. (CoRR, 2021)

Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries. - Sahar Kazemzadeh; Jin Yu; Shahar Jamshy; Rory Pilgrim; Zaid Nabulsi; Christina Chen; Neeral Beladia; Charles Lau; Scott Mayer McKinney; Thad Hughes; Atilla P. Kiraly; Sreenivasa Raju Kalidindi; et al. (CoRR, 2021)

Learning to Detect Touches on Cluttered Tables. - Norberto Adrián Goussies; Kenji Hata; Shruthi Prabhakara; Abhishek Amit; Tony Aubé; Carl Cepress; Diana Chang; Li-Te Cheng; Horia Stefan Ciurdar; Mike Cleron; Chelsey Fleming; Ashwin Ganti; et al. (CoRR, 2023)

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. - Wei-Hung Weng; Sebastien Baur; Mayank Daswani; Christina Chen; Lauren Harrell; Sujay Kakarmath; Mariam Jabara; Babak Behsaz; Cory Y. McLean; Yossi Matias; Gregory S. Corrado; Shravya Shetty; et al. (CoRR, 2023)

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. - Shawn Xu; Lin Yang; Christopher Kelly; Marcin Sieniek; Timo Kohlberger; Martin Ma; Wei-Hung Weng; Attila Kiraly; Sahar Kazemzadeh; Zakkai Melamed; Jungyeon Park; Patricia Strachan; et al. (CoRR, 2023)

Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals. - Louis Blankemeier; Sebastien Baur; Wei-Hung Weng; Jake Garrison; Yossi Matias; Shruthi Prabhakara; Diego Ardila; Zaid Nabulsi (CoRR, 2023)

HeAR - Health Acoustic Representations. - Sebastien Baur; Zaid Nabulsi; Wei-Hung Weng; Jake Garrison; Louis Blankemeier; Sam Fishman; Christina Chen; Sujay Kakarmath; Minyoi Maimbolwa; Nsala Sanjase; Brian Shuma; Yossi Matias; et al. (CoRR, 2024)

Advancing Multimodal Medical Capabilities of Gemini. - Lin Yang; Shawn Xu; Andrew Sellergren; Timo Kohlberger; Yuchen Zhou; Ira Ktena; Atilla P. Kiraly; Faruk Ahmed; Farhad Hormozdiari; Tiam Jaroensri; Eric Wang; Ellery Wulczyn; et al. (CoRR, 2024)

Towards a Personal Health Large Language Model. - Justin Cosentino; Anastasiya Belyaeva; Xin Liu 034; Nicholas A. Furlotte; Zhun Yang; Chace Lee; Erik Schenck; Yojan Patel; Jian Cui; Logan Douglas Schneider; Robby Bryant; Ryan G. Gomes; et al. (CoRR, 2024)

Plots Unlock Time-Series Understanding in Multimodal Models. - Mayank Daswani; Mathias M. J. Bellaiche; Marc Wilson; Desislav Ivanov; Mikhail Papkov; Eva Schnider; Jing Tang; Kay Lamerigts; Gabriela Botea; Michael A. Sanchez; Yojan Patel; Shruthi Prabhakara; et al. (CoRR, 2024)

General Geospatial Inference with a Population Dynamics Foundation Model. - Mohit Agarwal; Mimi Sun; Chaitanya Kamath; Arbaaz Muslim; Prithul Sarker; Joydeep Paul; Hector Yee; Marcin Sieniek; Kim Philipp Jablonski; Yael Mayer; David Fork; Sheila de Guia; et al. (CoRR, 2024)

PolyPath: Adapting a Large Multimodal Model for Multi-slide Pathology Report Generation. - Faruk Ahmed; Lin Yang; Tiam Jaroensri; Andrew Sellergren; Yossi Matias; Avinatan Hassidim; Gregory S. Corrado; Dale R. Webster; Shravya Shetty; Shruthi Prabhakara; Yun Liu 013; Daniel Golden; et al. (CoRR, 2025)