Director

Jonathan H. Chen, MD, PhD

Objectives and Goals

AI and Computational Biomedicine (AICB) is a foundation area within the Scholarly Concentration program that explores transformative paradigms of data science and artificial intelligence that are revolutionizing biomedicine. The proliferation of huge databases of clinical, imaging, and molecular data are driving new biomedical discoveries and informing and enabling precision medical care. The 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 into clinical practice. 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 AI and Computational Biomedicine in conjunction with an application area, such as Immunology, are required to complete 6 units.

Students can all choose to complete all 12 units in this Scholarly Concentration.

Units can be selected from any of the classes which the Biomedical Data Science graduate students take to fulfill their degree requirements.

Students should not repeat courses for credit and are limited to two 1 unit courses for this Scholarly Concentration.