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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
M3 - Graph Learning
Biomedical Graph Learning Part II
Week 7 - Biomedical Graph Learning Part II
Required Reading (Week 7 Pre-Class Quiz)
Graph representation learning in biomedicine and healthcare
Modeling polypharmacy side effects with graph convolutional networks
What-Why-How Paper Highlight
Optional Reading
Integrating biomedical research and electronic health records to create knowledge based biologically meaningful machine readable embeddings
Network medicine framework for identifying drug repurposing opportunities for COVID-19
Deep learning for diagnosing patients with rare genetic diseases