AI for Healthcare and Clinical Decision Support
Interpretable, equitable, and clinically grounded models for prediction, treatment support, and healthcare workflow decisions.
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AI programs designed for clinical and scientific translation.
Sunlab research spans trustworthy clinical AI, medical foundation models, therapeutic science, trial optimization, synthetic health data, and biosignals. Each program page summarizes the core idea, recent work, representative papers, and a simple diagram of the research pipeline.
Large Language Models for Medicine
Medical foundation models for literature mining, documentation, patient-trial matching, clinical reasoning, and human-AI workflows.
View programAI Drug Discovery and Molecular Design
Machine learning for therapeutic science, molecular property prediction, drug-target interaction, uncertainty, and design under distribution shift.
View programSynthetic Healthcare Data and Privacy
Generative models for privacy-preserving EHR, clinical trial, imaging-adjacent, and multimodal health data that retain clinical utility.
View programClinical Trial Intelligence and Optimization
AI systems for trial design, patient matching, evidence synthesis, outcome prediction, consent drafting, and clinical research agents.
View programBiosignal Analysis and Neurological Applications
Deep learning for EEG, sleep, seizure classification, physiological monitoring, and cross-device biosignal understanding.
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