JSM2026
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Contributed Papers

AI, Machine Learning & Digital Tools in Clinical Development

Mon, Aug 3, 10:30 AM - 12:20 PM Room CC-206B Thomas M. Menino Convention & Exhibition Center
Santosh SutradharChair
Biopharmaceutical Section

7 Presentations

A transformer-based model to predict disease course of newly diagnosed and relapsed multiple myeloma
10:35 AM - 10:50 AM
Cong Li
Co-authors: Zeshan Hussain (CSAIL, MIT), Edward Brouwer (CSAIL, MIT), Rebbeca Boiarsky (CSAIL, MIT), Sama Setty (CSAIL, MIT), Neeraj Gupta (Takeda Development Center Americas), Guohui Liu (Takeda Pharmaceuticals International Co.), David Sontag (CSAIL, MIT)
Artificial IntelligenceTransformer ModelMultiple MyelomaClinical Trial
An Ensemble Transfer Learning Framework for Robust Polygenic Prediction of Drug Response
10:50 AM - 11:05 AM
Youshu Cheng
Co-authors: Judong Shen (Merck & Co., Inc.)
GWASPharmacogenomicsPolygenic risk scoreTransfer learningEnsemble learning
Bayesian Machine Learning Counterfactual Treatment Selection for Survival Outcome
11:05 AM - 11:20 AM
Chenguang Zhang (Merck)
Co-authors: Duo Yu, han feng, Michael Kane (MD Anderson Cancer Center), Brian Hobbs (University of Texas)
Bayesian predictionIndividualized treatment rules (ITRs)Subgroup IdentificationRandom forestsTreatment effect heterogeneityClinical Trial
Interval Estimation, Hypothesis Testing, and Power Analysis for Fβ scores
11:20 AM - 11:35 AM
Chih-Yuan Hsu (Vanderbilt University Medical Center)
Co-authors: Qi Liu (Vanderbilt University), Yu Shyr (Vanderbilt University Medical Center)
F1 scoreClass imbalancePrecisionSensitivitySample size calculation
Modeling Treatment Switching in Clinical Trials using Machine Learning with Dynamic Clinical Inputs
11:35 AM - 11:50 AM
Lingli Yang (Takeda)
Co-authors: Xuzhi Wang (Takeda Pharmaceutical Company Limited), Deepak Nag Ayyala (Takeda Pharmaceuticals)
treatment switchingclinical trialsmachine learning
Zetyra: A Validated, Regulatory-Aligned Calculator Suite for Adaptive and Bayesian Clinical Trial Design
11:50 AM - 12:05 PM
Lu Qian (Zetyra)
Adaptive clinical trial designBayesian methodsGroup sequential designSample size re-estimationResponse-adaptive randomizationValidation and reproducibility
What if We've Been Looking at the Wrong Data? Reimagining Clinical Trial Success Prediction using AI
12:05 PM - 12:20 PM
Wenting Wang
Co-authors: Leo Fournier (3University of Montpellier, Montpellier, France), Juan martinez (Cytel, London, UK), Tarun Nathani (Sanofi), Nils Ternes (Sanofi), Christelle Reynes (University of Montpellier, Montpellier, France), Krishna Bellamkonda (Sanofi)
Clinical TrialsMachine LearningPredictionData
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