Welcome to CM4AI Learning Resources
Training Events: Upcoming & Past
Want to learn more about cell mapping and its potential for artificial intelligence? Look no further than our CM4AI training events, where you can learn from leading experts in the field.
CM4AI AnVIL Cell Map Prediction DREAM Challenge
Help pioneer in silico microscopy and build “virtual cells” by joining this challenge to develop generative AI models that predict where a protein localizes, using reference microscopy images and the protein’s amino acid sequence as input.
When
The challenge starts October 19, 2026
The challenge ends February 1, 2027
Cell Maps for AI CodeFest at UAB
The University of Alabama at Birmingham (UAB) recently hosted the 2025 CM4AI CodeFest, a national in-person event that brought together researchers, data scientists, and AI innovators to advance biomedical discovery through cutting-edge computational approaches.
Event Dates: August 14-15, 2025
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Check back soon for announcements on upcoming virtual and in-person events.
CM4AI Learning Resources
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Explore Learning Resources from the Bridge2AI Consortium
We are excited to introduce the Bridge2AI Consortium’s Training, Recruitment, and Mentoring Learning Resource, now available to the public at https://vimeo.com/bridge2aitraining. This resource offers valuable educational tools for investigators and researchers working at the intersection of AI and cellular biology, providing foundational knowledge to empower your journey in this rapidly evolving field.
Whether you are an aspiring AI researcher or a biomedicine investigator, the platform covers essential skills to explore AI-driven solutions for cell mapping challenges. Dive into the Bridge2AI Grand Challenges and gain insights from experts, helping you unlock new areas of discovery.
This resource is designed to support CM4AI participants, accelerating their growth at the intersection of AI, systems biology, and cellular studies. We encourage you to explore these tools to enhance your development and actively engage with the future of AI and biomedicine.
