Cut out the annotator, keep the cutout: better segmentation with weak supervision. - Sarah M. Hooper; Michael Wornow; Ying Hang Seah; Peter Kellman; Hui Xue 006; Frederic Sala; Curtis P. Langlotz; Christopher Ré (ICLR, 2021)

Construction of disease-specific cytokine profiles by associating disease genes with immune responses. - Tianyun Liu; Shiyin Wang; Michael Wornow; Russ B. Altman (PLoS Comput. Biol., 2022)

HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution. - Eric Nguyen; Michael Poli; Marjan Faizi; Armin W. Thomas; Michael Wornow; Callum Birch-Sykes; Stefano Massaroli; Aman Patel; Clayton M. Rabideau; Yoshua Bengio; Stefano Ermon; Christopher Ré; et al. (NeurIPS, 2023)

EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models. - Michael Wornow; Rahul Thapa; Ethan Steinberg; Jason A. Fries; Nigam Shah (NeurIPS, 2023)

The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs. - Michael Wornow; Yizhe Xu; Rahul Thapa; Birju S. Patel; Ethan Steinberg; Scott L. Fleming; Michael A. Pfeffer; Jason A. Fries; Nigam H. Shah (CoRR, 2023)

The shaky foundations of large language models and foundation models for electronic health records. - Michael Wornow; Yizhe Xu; Rahul Thapa; Birju S. Patel; Ethan Steinberg; Scott L. Fleming; Michael A. Pfeffer; Jason Alan Fries; Nigam H. Shah (npj Digit. Medicine, 2023)

APLUS: A Python library for usefulness simulations of machine learning models in healthcare. - Michael Wornow; Elsie Gyang Ross; Alison Callahan; Nigam H. Shah (J. Biomed. Informatics, 2023)

WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks. - Michael Wornow; Avanika Narayan; Ben Viggiano; Ishan S. Khare; Tathagat Verma; Tibor Thompson; Miguel Angel Fuentes Hernandez; Sudharsan Sundar; Chloe Trujillo; Krrish Chawla; Rongfei Lu; Justin Shen; et al. (NeurIPS, 2024)

Zero-Shot Clinical Trial Patient Matching with LLMs. - Michael Wornow; Alejandro Lozano; Dev Dash; Jenelle A. Jindal; Kenneth W. Mahaffey; Nigam H. Shah (CoRR, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. - Alison Callahan; Duncan C. McElfresh; Juan M. Banda; Gabrielle Bunney; Danton Char; Jonathan H. Chen; Conor K. Corbin; Debadutta Dash; Norman L. Downing; Sneha S. Jain; Nikesh Kotecha; Jonathan Masterson; et al. (CoRR, 2024)

Do Multimodal Foundation Models Understand Enterprise Workflows? A Benchmark for Business Process Management Tasks. - Michael Wornow; Avanika Narayan; Ben Viggiano; Ishan S. Khare; Tathagat Verma; Tibor Thompson; Miguel Angel Fuentes Hernandez; Sudharsan Sundar; Chloe Trujillo; Krrish Chawla; Rongfei Lu; Justin Shen; et al. (CoRR, 2024)

meds_reader: A fast and efficient EHR processing library. - Ethan Steinberg; Michael Wornow; Suhana Bedi; Jason Alan Fries; Matthew B. A. McDermott; Nigam H. Shah (CoRR, 2024)

Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs. - Michael Wornow; Suhana Bedi; Miguel Angel Fuentes Hernandez; Ethan Steinberg; Jason Alan Fries; Christopher Ré; Sanmi Koyejo; Nigam H. Shah (CoRR, 2024)

Automating the Enterprise with Foundation Models. - Michael Wornow; Avanika Narayan; Krista Opsahl-Ong; Quinn McIntyre; Nigam Shah; Christopher Ré (Proc. VLDB Endow., 2024)

Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data. - Michael Wornow; Suhana Bedi; Miguel Angel Fuentes Hernandez; Ethan Steinberg; Jason Alan Fries; Christopher Ré; Sanmi Koyejo; Nigam Shah (ICLR, 2025)

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. - Suhana Bedi; Hejie Cui; Miguel Fuentes; Alyssa Unell; Michael Wornow; Juan M. Banda; Nikesh Kotecha; Timothy Keyes; Yifan Mai 001; Mert Oez; Hao Qiu; Shrey Jain; et al. (CoRR, 2025)

Cost-Efficient Serving of LLM Agents via Test-Time Plan Caching. - Qizheng Zhang; Michael Wornow; Kunle Olukotun (CoRR, 2025)