Director

Jonathan H. Chen, MD, PhD

Objectives and Goals

Informatics & Data-Driven Medicine (IDDM) is a foundation area within the Scholarly Concentration program that explores transformative paradigms of big data and artificial intelligence that are revolutionizing medicine. The proliferation of huge databases of clinical, imaging, and molecular data are driving new biomedical discoveries and informing and enabling precision medical care. The IDDM Scholarly Concentration will provide students insights into this important emerging area of medicine, and introducing fundamental topics such as information management, computational methods of structuring and analyzing biomedical data, and large-scale data analysis along the biomedical research pipeline, from the analysis and interpretation of new biological datasets to the integration and management of this information. Common themes of the concentration revolve around combining the best of human and artificial intelligence to advance biomedical science and improve clinical care.

Requirements

Students who pursue Informatics & Data-Driven Medicine in conjunction with an application area, such as Immunology, are required to complete 6 units including:

BIOMEDIN 205: Precision Practice with Big Data  - Can only be taken once for SC credit
(1 unit )

The other IDDM units can be selected from any of the classes which the biomedical informatics graduate students take to fulfill their degree requirements. Students should not repeat courses for credit and are limited to two 1 unit courses for IDDM.

Students interested in completing all 12 units in IDDM can select from the classes which the biomedical informatics graduate students take to fulfill their degree requirements. Students are encouraged to devise a course plan to present to the director.