Biomedical Data Science Summer Academy 2025

Monday, June 23, 2025, 8:00 AM - Friday, June 27, 2025, 4:45 PM EST, Central Campus Classroom Building, Ann Arbor, MI


AMA PRA Category 1 Credits™ (34.00 hours), Non-Physician Attendance (34.00 hours)

The Biomedical Summer Academy will introduce participants to key concepts of data science and artificial intelligence, showing how they can be leveraged in biomedical research and incorporated into grant proposals. Previous course topics have included introductions to Python programming, machine learning techniques, and use-case examples.

1. Determine which data science/artificial intelligence techniques are appropriate for a given clinical application and apply them to their own clinical and/or research activities.
2. Develop strategies for integrating data science into their grant applications, work effectively with data scientists, and build new collaborations.
3. Utilize data science solutions and apply them to biomedical problems.
4. Apply a breadth of data science topics with data science experts as collaborators.
5. Skills to abstractly consider data science solutions and apply them to biomedical problems
6. Receive a certificate of completion.

This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providerships of the University of Michigan Medical School and MIDAS - Michigan Institute for Data & AI in Society. The University of Michigan Medical School is accredited by the ACCME to provide continuing medical education for physicians.

Accessibility Statement

The University of Michigan Medical School is committed to ensuring that its programs, services, goods and facilities are accessible to individuals with disabilities as specified under Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Amendments Act of 2008.  If you have needs that require special accommodations, including dietary concerns, please contact the CME Activity Coordinator.

Questions? Please contact: Kelly Psilidis or Janet Gribbons

Mitigation of Relevant Financial Relationships

The University of Michigan Medical School adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education. All individuals in a position to control the content of a CE activity, including faculty, planners, or others are required to disclose all relevant financial relationships with ineligible entities. All relevant financial relationships have been mitigated prior to the commencement of the activity.