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BMI 702
Home
Syllabus
Calendar
Week 1 - Intro
M1 - Clinical AI
Clinical AI Part I
Clinical AI Part II
M2 - Trustworthy & Efficient AI
Trustworthy & Efficient AI Part I
Trustworthy & Efficient AI Part II
M3 - Graph Learning
Biomedical Graph Learning Part I
Biomedical Graph Learning Part II
M4 - Language Modeling
Medical Language Modeling Part I
Medical Language Modeling Part II
M5 - Biomedical Imaging
Biomedical Imaging Part I
Biomedical Imaging Part II
Week 12 - Ethical & Legal
M6 - Generative AI
Generative AI Part I
Generative AI Part II
Staff
Schedule
Canvas
Harvard DBMI
Zitnik Lab
M4 - Language Modeling
Medical Language Modeling Part II
Week 9 - Medical Language Modeling Part II
Required Reading (Week 9 Pre-Class Quiz)
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment
Evaluating eligibility criteria of oncology trials using real-world data and AI
What-Why-How Paper Highlight
Optional Reading
Recent innovation in deep learning for clinical trials
COMPOSE: Cross-modal pseudo-siamese network for patient trial matching
CLARA: Clinical report auto-completion