Un-Meeting: Machine Learning & Artificial Intelligence Applications in Translational Science

Location: University of Rochester Medical Center, Rochester NY

The Un-Meeting focused on the development, enhancement, standardization and regulation of artificial intelligence (AI) and machine learning approaches at all stages of the translational science spectrum. Through the unique, attendee-driven Un-Meeting format, the event fostered new collaborations and ideas, advanced research, and explored innovative approaches for technology in translational science. Our premise is that AI and machine learning approaches have a host of applications throughout all stages of the translational science spectrum. From modeling chemical structures to making better decisions for patients, the development and enhancement of technology is an undercurrent running throughout the CTSA Program. With this comes opportunities for new software, new areas of focus, updated regulations, and refining integration. Additionally, the challenges of data validity, generalizability of algorithms, reproducibility and regulation continue to need to be addressed.

Suggested Reading:

Black Box Algorithms Ready for Medical Use? - NPR

High-performance medicine: The convergence of human and artificial intelligence

CDS in a Learning Health Care System

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data

4x4 Presentations:


Summary of the Un-Meeting


Registration is now closed.

Please email unmeetings@clic-ctsa.org if you have any questions regarding the event or the available travel stipends!

Activity Type
Location Type
University of Rochester Medical Center, Saunders Research Building, 265 Crittenden Rd, Rochester NY 14642