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Final Presentations

Building Transparent ML/AI Solutions to Advance Biological Research Codeathon

Mar 1, 2024 12:30-2:30 PM ET

During the week-long event, codeathon teams collaborated virtually to design and build innovative solutions that promoted fairness, transparency, and accountability in AI/ML algorithms and models, addressing various challenges in healthcare, research, education, and more. In this session, they presented the results of their work. Final presentations were recorded and will be made available on this site approximately 2 weeks after the event.

To learn more about this codeathon, please see: https://ncbiinsights.ncbi.nlm.nih.gov/event/ml-ai-solutions-for-biological-research-codeathon/


Keyboard controls: Space bar - toggle play/pause; Right and Left Arrow - seek the video forwards and back; Up and Down Arrow - increase and decrease the volume; M key - toggle mute/unmute; F key - toggle fullscreen off and on.
Presentation order: Team Landrum-Song (Start 7:15), Team Xu (Start 18:20), Team Gwadz-Yang (Start 28:45), Team Bhushan (Start 37:50), Team Connor-Gunti (Start 47:40), Team Saddler (Start 1:08:05), Team Chen (Start 1:17:30), Team Beaumont (Start 1:26:05), Team Smith (Start 1:36:15), Team Hall (Start 1:45:15)

Last Reviewed: January 19, 2024