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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

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Canvas
Harvard DBMI
Zitnik Lab

M3 - Graph Learning
Biomedical Graph Learning Part I

Week 6 - Biomedical Graph Learning Part I

Required Reading (Week 6 Pre-Class Quiz)

Network medicine: a network-based approach to human disease
node2vec: Scalable feature learning for networks

What-Why-How Paper Highlight

Optional Reading

Uncovering disease-disease relationships through the incomplete interactome
Identification of disease treatment mechanisms through the multiscale interactome
Sparse dictionary learning recovers pleiotropy from human cell fitness screens
Network biology concepts in complex disease comorbidities
Systematic integration of biomedical knowledge prioritizes drugs for repurposing