Publications Temporally integrated framework for treatment intervals (TIFTI): A framework for extracting drug intervals from longitudinal clinic notes December 8, 2018 Agrawal, M, Adams, G, Nussbaum, NC, Birnbaum, B. Machine Learning for Health (ML4H) Workshop. . https://arxiv.org/pdf/1811.12793.pdf Authors:Agrawal, M, Adams, G, Nussbaum, NC, Birnbaum, B Sources:Machine Learning for Health (ML4H) Workshop Read the research SharePosted inMethodologyArtificial intelligence More publicationsMay 2026From plenary to practice: A large language model (LLM)-based thematic analysis of landmark clinical trial discussions and factors influencing their real-world adoptionMay 2026Using ML to predict rapid progression for patients (pts) with HR+/HER2- metastatic breast cancer (mBC) treated with frontline (1L) CDK 4/6 inhibitors (CDK 4/6i)May 2026Digital twin models for counterfactual prediction in NSCLC: a validation study using clinical trial data
May 2026From plenary to practice: A large language model (LLM)-based thematic analysis of landmark clinical trial discussions and factors influencing their real-world adoption
May 2026Using ML to predict rapid progression for patients (pts) with HR+/HER2- metastatic breast cancer (mBC) treated with frontline (1L) CDK 4/6 inhibitors (CDK 4/6i)
May 2026Digital twin models for counterfactual prediction in NSCLC: a validation study using clinical trial data