Predicting the impact of treatments over time with uncertainty aware neural differential equations. - Edward De Brouwer; Javier González Hernández; Stephanie L. Hyland (CoRR, 2022)

Precision Health in the Age of Large Language Models. - Hoifung Poon; Tristan Naumann; Sheng Zhang 012; Javier González Hernández (KDD, 2023)

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires. - Melanie F. Pradier; Niranjani Prasad; Paidamoyo Chapfuwa; Sahra Ghalebikesabi; Maximilian Ilse; Steven Woodhouse; Rebecca Elyanow; Javier Zazo; Javier González Hernández; Julia Greissl; Edward Meeds (MLHC, 2023)

Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants. - Isabel Chien; Javier González Hernández; Richard E. Turner (TML4H, 2023)

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires. - Melanie F. Pradier; Niranjani Prasad; Paidamoyo Chapfuwa; Sahra Ghalebikesabi; Max Ilse; Steven Woodhouse; Rebecca Elyanow; Javier Zazo; Javier González Hernández; Julia Greissl; Edward Meeds (CoRR, 2023)

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models. - Javier González Hernández; Cliff Wong; Zelalem Gero; Jass Bagga; Risa Ueno; Isabel Chien; Eduard Oravkin; Emre Kiciman; Aditya V. Nori; Roshanthi Weerasinghe; Rom S. Leidner; Brian Piening; et al. (CoRR, 2023)

Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants. - Isabel Chien; Wessel P. Bruinsma; Javier González Hernández; Richard E. Turner (ICML, 2024)

Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects. - Isabel Chien; Cliff Wong; Zelalem Gero; Jaspreet Bagga; Risa Ueno; Richard E. Turner; Roshanthi Weerasinghe; Brian Piening; Tristan Naumann; Carlo Bifulco; Hoifung Poon; Javier González Hernández (MLHC, 2024)