| Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution E Nguyen, M Poli, M Faizi, A Thomas, M Wornow, C Birch-Sykes, ... Advances in neural information processing systems 36, 2024 | 250 | 2024 |
| The shaky foundations of large language models and foundation models for electronic health records M Wornow, Y Xu, R Thapa, B Patel, E Steinberg, S Fleming, MA Pfeffer, ... npj Digital Medicine 6 (1), 135, 2023 | 191* | 2023 |
| In vivo base editing restores sensory transduction and transiently improves auditory function in a mouse model of recessive deafness WH Yeh, O Shubina-Oleinik, JM Levy, B Pan, GA Newby, M Wornow, ... Science translational medicine 12 (546), eaay9101, 2020 | 171 | 2020 |
| Testing and evaluation of health care applications of large language models: a systematic review S Bedi, Y Liu, L Orr-Ewing, D Dash, S Koyejo, A Callahan, JA Fries, ... JAMA, 2024 | 35* | 2024 |
| APLUS: a Python library for usefulness simulations of machine learning models in healthcare M Wornow, EG Ross, A Callahan, NH Shah Journal of biomedical informatics 139, 104319, 2023 | 28 | 2023 |
| Ehrshot: An ehr benchmark for few-shot evaluation of foundation models M Wornow, R Thapa, E Steinberg, J Fries, N Shah Advances in Neural Information Processing Systems 36, 67125-67137, 2023 | 23 | 2023 |
| Cut out the annotator, keep the cutout: better segmentation with weak supervision S Hooper, M Wornow, YH Seah, P Kellman, H Xue, F Sala, C Langlotz, ... International Conference on Learning Representations, 2020 | 23 | 2020 |
| Zero-shot clinical trial patient matching with llms M Wornow, A Lozano, D Dash, J Jindal, KW Mahaffey, NH Shah NEJM AI 2 (1), AIcs2400360, 2025 | 18 | 2025 |
| Generating experimentally unrelated target molecule-binding highly functionalized nucleic-acid polymers using machine learning JC Chen, JP Chen, MW Shen, M Wornow, M Bae, WH Yeh, A Hsu, DR Liu Nature Communications 13 (1), 4541, 2022 | 12 | 2022 |
| Standing on FURM ground: a framework for evaluating fair, useful, and reliable AI models in health care systems A Callahan, D McElfresh, JM Banda, G Bunney, D Char, J Chen, ... NEJM Catalyst Innovations in Care Delivery 5 (10), CAT. 24.0131, 2024 | 11 | 2024 |
| Automating the Enterprise with Foundation Models M Wornow, A Narayan, K Opsahl-Ong, Q McIntyre, NH Shah, C Re arXiv preprint arXiv:2405.03710, 2024 | 10 | 2024 |
| Interregional transfers for pandemic surges KA Michelson, CA Rees, J Sarathy, P VonAchen, M Wornow, ... Clinical Infectious Diseases 73 (11), e4103-e4110, 2021 | 9 | 2021 |
| Wonderbread: A benchmark for evaluating multimodal foundation models on business process management tasks M Wornow, A Narayan, B Viggiano, IS Khare, T Verma, T Thompson, ... The Thirty-eight Conference on Neural Information Processing Systems …, 0 | 8* | |
| Construction of disease-specific cytokine profiles by associating disease genes with immune responses T Liu, S Wang, M Wornow, RB Altman PLOS Computational Biology 18 (4), e1009497, 2022 | 7 | 2022 |
| How Foundation Models Can Advance AI in Healthcare J Fries, E Steinberg, S Fleming, M Wornow, Y Xu, K Morse, D Dash, ... Stanford HAI. December, 2022 | 5 | 2022 |
| Medical Event Data Standard (MEDS): Facilitating Machine Learning for Health B Arnrich, E Choi, JA Fries, MBA McDermott, J Oh, TJ Pollard, N Shah, ... | 5 | |
| Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium H Jeong, S Jabbour, Y Yang, R Thapta, H Mozannar, WJ Han, ... arXiv preprint arXiv:2403.01628, 2024 | 3 | 2024 |
| Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs M Wornow, S Bedi, MAF Hernandez, E Steinberg, JA Fries, C Ré, ... arXiv preprint arXiv:2412.16178, 2024 | | 2024 |
| meds_reader: A fast and efficient EHR processing library E Steinberg, M Wornow, S Bedi, JA Fries, M McDermott, NH Shah arXiv preprint arXiv:2409.09095, 2024 | | 2024 |
| MEDS Decentralized, Extensible Validation (MEDS-DEV) Benchmark: Establishing Reproducibility and Comparability in ML for Health A Kolo, C Pang, E Choi, E Steinberg, H Jeong, J Gallifant, JA Fries, ... | | 2024 |
