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Calendar

Week 1

Course overview, Introduction to NLP, Clinical NLP, Medical terminology challenges, Concept extraction from EHRs, Clinical trial matching

Jan 28
LectureNLP I
Slides, Reading List
Jan 29
QuizWeek 2 pre-class quiz (due Feb 4)
Canvas

Week 2

Embeddings and their role in NLP, Transformers and BERT, Clinical BERT, Encoder-only and decoder-only architectures, Medical question-answering, Human-AI evaluation loops.

Feb 4
LectureNLP II
Slides, Reading List
Feb 5
QuizWeek 3 pre-class quiz (due Feb 11)
Canvas

Week 3

Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Language retrieval and generation, Reinforcement learning with human feedback (RLHF), Retrieval augmented generation (RAG), Chain-of-Thought (CoT) prompting.

Feb 11
LectureGenerative AI
Slides, Reading List
Feb 12
QuizWeek 4 pre-class quiz (due Feb 18)
Canvas

Week 4

Conversational agents, Multi-agent systems, Tool use, Human-AI collaboration strategies, Introduction to training reasoning models with human feedback and soft verifiers.

Feb 18
LectureAI Agents
Slides, Reading List
Feb 19
QuizWeek 5 pre-class quiz (due Feb 25)
Canvas
Feb 20
Course ProjectProject Proposals Due
Canvas

Week 5

Understand various types of medical imaging data (radiology, oncology, pathology, and other imaging modalities), Introduction to medical imaging tasks: classification, regression, and segmentation, Convolutional neural networks (CNNs) and their role in medical imaging, Segmentation techniques and U-Net architecture.

Feb 25
LectureMedical Imaging I
Slides, Reading List
Feb 26
QuizWeek 6 pre-class quiz (due Mar 4)
Canvas

Week 6

Vision foundation models. Development and validation of medical imaging interpretation models, Model robustness and performance across diverse populations.

Mar 4
LectureMedical Imaging II
Slides, Reading List
Mar 5
QuizWeek 7 pre-class quiz (due Mar 11)
Canvas

Week 7

Explainability and interpretability in medical AI, Feature importance and Shapley values, Bias and fairness in biomedical AI, Introduction to mechanistic interpretability.

Mar 11
LectureTrustworthy AI
Slides, Reading List
Mar 12
QuizWeek 8 pre-class quiz (due Mar 25)
Canvas

Week 8

Foundations of graph AI, Semi-supervised learning and label diffusion, Graph representation learning, Introduction to graph neural networks (GNNs), Neural message-passing models, Applications in gene function prediction, medical diagnosis, drug combination modeling, and antibiotic discovery.

Mar 25
LectureGraph AI I
Slides, Reading List
Mar 26
QuizWeek 9 pre-class quiz (due Apr 1)
Canvas
Mar 27
Course ProjectMid-Term Project Reports Due
Canvas
Mar 27
Course ProjectMid-Term Student Presentations
Canvas

Week 9

Knowledge graph learning, Structure-inducing pre-training, Relational foundation models.

Apr 1
LectureGraph AI II
Slides, Reading List
Apr 2
QuizWeek 10 pre-class quiz (due Apr 8)
Canvas

Week 10

AI for protein structure prediction and protein folding, Structure- and sequence-based co-design, Small molecule design, Conditional protein generation, Single-cell foundation models, Perturbation response prediction models.

Apr 8
LectureMolecular AI
Slides, Reading List
Apr 9
QuizWeek 11 pre-class quiz (due Apr 15)
Canvas

Week 11

Multimodal fusion beyond contrastive alignment, Early, late, and hybrid fusion strategies that combine modalities inside the model via cross-attention, co-embedding layers, and shared latent space, Generative multimodal modeling, includes image-to-text and text-to-image generation, masked multimodal modeling, and diffusion-based models.

Apr 15
LectureMultimodal AI
Slides, Reading List
Apr 16
QuizWeek 12 pre-class quiz (due Apr 22)
Canvas

Week 12

Disease risk prediction using generative transformers, Time series in healthcare, Longitudinal modeling of personal health datasets, Digital biomarkers and disease progression tracking, Health sensors.

Apr 22
LectureLongitudinal AI
Slides, Reading List
Apr 23
QuizWeek 13 pre-class quiz (due Apr 29)
Canvas

Week 13

Regulation of AI algorithms and devices in healthcare, FDA oversight and liability concerns, Prospective clinical trials for AI systems and AI-augmented devices.

Apr 29
LectureEthical and Legal Considerations
Slides, Reading List
May 1
Course ProjectFinal Project Reports Due
Canvas
May 1
Course ProjectFinal Student Presentations
Canvas