| 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 | 147 | 2020 |
| 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 | 66 | 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 | 56* | 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 | 19 | 2020 |
| 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 | 16 | 2023 |
| 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 | 10 | 2022 |
| Interregional transfers for pandemic surges KA Michelson, CA Rees, J Sarathy, P VonAchen, M Wornow, ... Clinical Infectious Diseases 73 (11), e4103-e4110, 2021 | 8 | 2021 |
| 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 | 6 | 2022 |
| 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, 2024 | 5 | 2024 |
| A Systematic Review of Testing and Evaluation of Healthcare Applications of Large Language Models (LLMs) S Bedi, Y Liu, L Orr-Ewing, D Dash, S Koyejo, A Callahan, JA Fries, ... medRxiv, 2024.04. 15.24305869, 2024 | | 2024 |
| 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 | | 2024 |
| Standing on FURM ground--A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems A Callahan, D McElfresh, JM Banda, G Bunney, D Char, J Chen, ... arXiv preprint arXiv:2403.07911, 2024 | | 2024 |
| Zero-Shot Clinical Trial Patient Matching with LLMs M Wornow, A Lozano, D Dash, J Jindal, KW Mahaffey, NH Shah arXiv preprint arXiv:2402.05125, 2024 | | 2024 |
| Machine learning generation of HFNAPs with nanomolar affinity to daunomycin JC Chen, JP Chen, MW Shen, M Wornow, M Bae, WH Yeh, A Hsu, DR Liu, ... Evolution and Computational Generation of Highly Functionalized Nucleic Acid …, 2021 | | 2021 |
| Medical Event Data Standard (MEDS): Facilitating Machine Learning for Health B Arnrich, E Choi, JA Fries, MBA McDermott, J Oh, TJ Pollard, N Shah, ... | | |
