The Future of Personal Health Assistant:

This course integrates the principles of database systems, AI agents, and health informatics. Students will gain expertise in the following areas:


Multimodal Data Engineering:
Ingesting, cleaning, and normalizing heterogeneous data (time-series sensor data, unstructured clinical notes, structured FHIR records)

Agentic Architectures:
Designing LLM-based agents capable of tool use (function calling), planning, and memory management (LangChain, LlamaIndex).

Retrieval-Augmented Generation (RAG):
Implementing vector databases and semantic search strategies optimized for personal health contexts.

Privacy and Ethics:
Understanding HIPAA compliance, differential privacy, and the ethical implications of AI "hallucinations" in health advice.

HCI for Health:
Designing applications and interfaces that foster trust, explainability, and engagement in self-tracking and patient-provider communication.

Domain Knowledge:
Understanding the basics of chronic disease management, personal health monitoring, and clinical decision support.

• TR 2:40 p.m.-3:55 p.m.
• 3 points