Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data von Wang, Haohan, Lengerich, Benjamin J, Aragam, Bryon, Xing, Eric P

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Ten quick tips for deep learning in biology von Lee, Benjamin D, Gitter, Anthony, Greene, Casey S, Raschka, Sebastian, Maguire, Finlay, Titus, Alexander J, Kessler, Michael D, Lee, Alexandra J, Chevrette, Marc G, Stewart, Paul Allen, Britto-Borges, Thiago, Cofer, Evan M, Yu, Kun-Hsing, Carmona, Juan Jose, Fertig, Elana J, Kalinin, Alexandr A, Signal, Brandon, Lengerich, Benjamin J, Triche, Jr, Timothy J, Boca, Simina M

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Personalized regression enables sample-specific pan-cancer analysis von Lengerich, Benjamin J, Aragam, Bryon, Xing, Eric P

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Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case study von Lengerich, Benjamin J., Nunnally, Mark E., Aphinyanaphongs, Yin, Ellington, Caleb, Caruana, Rich

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Interpretable machine learning predicts postpartum hemorrhage with severe maternal morbidity in a lower-risk laboring obstetric population von Lengerich, Benjamin J., Caruana, Rich, Painter, Ian, Weeks, William B., Sitcov, Kristin, Souter, Vivienne

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Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes von Bosschieter, Tomas M., Xu, Zifei, Lan, Hui, Lengerich, Benjamin J., Nori, Harsha, Painter, Ian, Souter, Vivienne, Caruana, Rich

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Experimental and Computational Mutagenesis To Investigate the Positioning of a General Base within an Enzyme Active Site von Schwans, Jason P, Hanoian, Philip, Lengerich, Benjamin J, Sunden, Fanny, Gonzalez, Ana, Tsai, Yingssu, Hammes-Schiffer, Sharon, Herschlag, Daniel

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Opportunities and obstacles for deep learning in biology and medicine von Ching, Travers, Himmelstein, Daniel S., Beaulieu-Jones, Brett K., Kalinin, Alexandr A., Do, Brian T., Way, Gregory P., Ferrero, Enrico, Agapow, Paul-Michael, Zietz, Michael, Hoffman, Michael M., Xie, Wei, Rosen, Gail L., Lengerich, Benjamin J., Israeli, Johnny, Lanchantin, Jack, Woloszynek, Stephen, Carpenter, Anne E., Shrikumar, Avanti, Xu, Jinbo, Cofer, Evan M., Lavender, Christopher A., Turaga, Srinivas C., Alexandari, Amr M., Lu, Zhiyong, Harris, David J., DeCaprio, Dave, Qi, Yanjun, Kundaje, Anshul, Peng, Yifan, Wiley, Laura K., Segler, Marwin H. S., Boca, Simina M., Swamidass, S. Joshua, Huang, Austin, Gitter, Anthony, Greene, Casey S.

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Unique insights into risk factors for antepartum stillbirth using explainable AI von Bosschieter, Tomas M., Lan, Hui, Xu, Zifei, Lengerich, Benjamin, Nori, Harsha, Sitcov, Kristin, Painter, Ian, Caruana, Rich, Souter, Vivienne

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Predicting severe maternal morbidity at admission for delivery using intelligible machine learning von Xu, Zifei, Bosschieter, Tomas M., Lan, Hui, Lengerich, Benjamin, Nori, Harsha, Sitcov, Kristin, Painter, Ian, Souter, Vivienne, Caruana, Rich

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Preterm preeclampsia prediction using intelligible machine learning von Bosschieter, Tomas M., Xu, Zifei, Lan, Hui, Lengerich, Benjamin, Nori, Harsha, Sitcov, Kristin, Painter, Ian, Caruana, Rich, Souter, Vivienne

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Understanding risk factors for shoulder dystocia using interpretable machine learning von Lan, Hui, Bosschieter, Tomas M., Xu, Zifei, Lengerich, Benjamin, Nori, Harsha, Sitcov, Kristin, Painter, Ian, Souter, Vivienne, Caruana, Rich

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46 Length of labor and severe maternal morbidity in the NTSV population von Lengerich, Benjamin J., Caruana, Rich, Weeks, William B., Painter, Ian, Spencer, Sydney, Sitcov, Kristin, Daly, Colleen, Souter, Vivienne

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1017 Insights into severe maternal morbidity in the NTSV population von Lengerich, Benjamin J., Caruana, Rich, Weeks, William B., Painter, Ian, Spencer, Sydney, Sitcov, Kristin, Daly, Colleen, Souter, Vivienne

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Contextualized: Heterogeneous Modeling Toolbox von Ellington, Caleb N., Lengerich, Benjamin J., Lo, Wesley, Alvarez, Aaron, Rubbi, Andrea, Kellis, Manolis, Xing, Eric P.

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Estimating Discontinuous Time-Varying Risk Factors and Treatment Benefits for COVID-19 with Interpretable ML von Lengerich, Benjamin, Nunnally, Mark E, Aphinyanaphongs, Yin, Caruana, Rich

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Dropout as a Regularizer of Interaction Effects von Lengerich, Benjamin, Xing, Eric P, Caruana, Rich

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Contextualized Machine Learning von Lengerich, Benjamin, Ellington, Caleb N, Rubbi, Andrea, Kellis, Manolis, Xing, Eric P

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Efficient Large Foundation Model Inference: A Perspective From Model and System Co-Design von Liu, Dong, Lai, Zhixin, Wang, Yite, Wu, Jing, Yu, Yanxuan, Wan, Zhongwei, Lengerich, Benjamin, Wu, Ying Nian

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Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning von Deuschel, Jannik, Ellington, Caleb N, Luo, Yingtao, Lengerich, Benjamin J, Friederich, Pascal, Xing, Eric P

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