Upcoming Events
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2 events,
The Opportunity and A Call to Action We are excited to announce the launch of the CM4AI Graph Community Detection competition on Kaggle! Participating in this challenge will give you a unique opportunity to be part of groundbreaking advancements in biomedical research as part of the Cell Maps for AI (CM4AI) initiative. Challenge Dates: May 14, 2025 – July 31, 2025 Join the Frontier of Biomedical AI Research! The Bridge2AI Functional Genomics Grand Challenge (Cell Maps for AI/CM4AI) is pleased to announce our Kaggle competition focused on using the data and tools generated by CM4AI and leveraging emerging AI/ML methods, such as graph and quantum machine learning, to advance biomedical science and precision medicine. Competition Overview The goal of this competition is to develop methods that identify communities within biological networks to uncover hidden structures and provide new insights into biological systems. By participating, you will help push the boundaries of AI/ ML applications in the life sciences. Why Participate? Shape the Future of Science: Successful approaches can redefine how we understand cellular systems, paving the way for innovative therapeutic strategies for cancer and other human disease. Challenge Yourself: Engage in solving a cutting-edge problem that bridges the gap between AI/ML and molecular biology. Be Part of a Global Community: Collaborate and compete with experts, researchers, and enthusiasts from diverse fields with mentorship from CM4AI investigators. Key Details CM4AI Resources: https://cm4ai.org and https://youtube.com/@CM4AI Competition Link: https://www.kaggle.com/t/b25c9b18a199411892011bfb88680cf3 Objective: Detect and identify communities from CM4AI SEC-MS data, contributing to the Cell Maps for AI initiative. Who Should Join? This competition is open to anyone passionate about artificial intelligence/machine learning, computational biology, or biomedical research. Whether you're a seasoned expert or an enthusiastic beginner, your contributions can help drive the next wave of discoveries. Don’t miss this opportunity to be part of a transformative journey at the intersection of AI and molecular biology! Join the Challenge Now The MuCaRD challenge addresses a critical gap in AI‐driven fundus screening: ensuring consistent performance across both familiar and unseen camera systems. Participants will develop and benchmark models under realistic constraints—training on a limited set of images from one device and then evaluating robustness and adaptability on entirely new devices. By simulating clinical and commercial deployment scenarios, MuCaRD promotes methods that generalize beyond a single data source and can quickly fine‐tune to novel imaging hardware. |
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Are you interested in AI/ML and their applications in biomedicine and precision healthcare? Join the Functional Genomics Grand Challenge team and their group of interdisciplinary experts for the 2025 Cell Maps for AI (CM4AI) CodeFest at UAB. This two-day, in-person event is a hands-on workshop centered on the development of team-based projects using CM4AI datasets and state-of-the-art AI/ML tools to design and test novel approaches in cancer research, drug discovery, systems biology, and precision medicine. Teams will present their projects virtually, with cash awards available for the top 3! To register, please visit the link here. Registration Deadline: August 6th, 2025 For questions, please contact: cm4ai@yale.edu CodeFest Themes Participants will collaborate in teams to build and present projects that leverage CM4AI data and tools, with guidance from mentors at UAB, Yale, UCSD, and other CM4AI institutions. Focus areas include: Biomedical graph networks Graph & quantum AI/ML methods Data embedding Data visualization Visible neural networks Large language models |
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Please join us on Tuesday, August 19th, 2025 at 12pm-1pm PST/3pm-4pm EST for the discussion forum: “Data Management in the Extremes", by Dr. Jennifer Wagner. Registration not required! Additional details in the attached documents and message below. Bio: Jennifer K. Wagner, JD, PhD, is an Assistant Professor at Penn State University, affiliated with law, engineering, anthropology, and biomedical sciences. A licensed attorney since 2007, her interdisciplinary research focuses on the human right to science, privacy, and equity in genetic and digital health technologies. She has published over 70 articles, received NIH funding, and her work has been cited by the U.S. Supreme Court. She serves on editorial boards and national ethics committees and teaches courses on genetics law, privacy, and biomedical AI. |
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