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BINF 4002 — Machine Learning for Health

Course-wide

Part 1 — Foundations

Part 2 — Modern AI & lab work

Part 2 — Modern AI & Lab Work
Lecture 11 — Lab Day #1
Lecture 12 — Lab Day #2
Lecture 13 — Neural networks: from motivation to practice
- Neural Networks: From Motivation to Practice
Lecture 14 — Large language models: from n-grams to attention
- BINF 4002: Large Language Models — Companion Notebook
Lecture 15 — Foundation models
Lecture 16 — Lab Day #3 (last class before spring break)

Part 3 — Clinical AI

Part 3 — Clinical AI
Lecture 17 — EHR and claims data: the modality
- Notebook 17: Exploring EHR Data with MIMIC-IV in MEDS Format
Lecture 18 — Modeling over EHR and claims data
Lecture 19 — Clinical and biomedical text: the modality
- Notebook 19: Clinical & Biomedical Text — Data Exploration
Lecture 20 — Clinical and biomedical NLP: modeling
- Notebook 20: Clinical & Biomedical NLP — Modeling
Lecture 21 — Medical imaging: the modality
- Notebook 21: Clinical & Biomedical Imaging — Data Modalities
Lecture 22 — Medical imaging: modeling
- Notebook 22: Clinical & Biomedical Imaging — Modeling

Part 4 — Population, causality, fairness

Part 4 — Population, Causality, Fairness
Lecture 23 — Population health data and survival analysis
- Notebook 23: Population Health Data & Survival Analysis
Lecture 24 — Causality and fairness
- Notebook 24: Causality and Fairness

Part 5 — Molecules & biological AI

Part 5 — Molecules & Biological AI
Lecture 25 — DNA, genetics, and gene regulation
- Notebook 25: DNA, Genetics & Gene Regulation
Lecture 26 — Proteins, molecules, and structural biology
- Notebook 26: Proteins, Molecules & Structural Biology
Lecture 27 — Modern biological AI
- Notebook 27: Modern Biological AI

Part 6 — Recap

Labs

Index

By Matthew McDermott