July 6 - July 9
San Diego, CA
2026 AIM-AHEAD Annual Meeting
Save the Date!
Connect with innovators driving the future of AI/ML in health.
The 2026 AIM-AHEAD Annual Meeting will bring together researchers, innovators, and leaders to share cutting-edge work in artificial intelligence and machine learning aimed at advancing biomedical research and improving healthcare outcomes. Attendees will have opportunities to network, exchange ideas, and engage with experts through research presentations, interactive Q&A sessions, and discussions led by leaders at the forefront of the field. This conference offers a valuable forum for collaboration, discovery, and meaningful dialogue in AI-driven health research. Together, we’re building the workforce, infrastructure, and partnerships needed to transform healthcare through AI/ML.
AI Optimization Subcore Office Hours and Discussion Forum
Dr. Huang, an Assistant Professor of University of Pennsylvania Perelman School of Medicine Pathology and Laboratory Medicine, will discuss the critical role of building an integrated ecosystem for medical imaging and demonstrate how AI can assist pathologists to enhance diagnostic accuracy and efficiency through multiple AI algorithm development efforts.
Johns Hopkins University Vibe Coding Sessions
Register now to attend coding session two, where Dr. Gordon Gao from Johns Hopkins University will explore practical, AI-assisted approaches to research, innovation, and problem-solving.
AIM-AHEAD Data Bridge Data Navigator Sessions
This dedicated office hour is designed to help AIM-AHEAD researchers and collaborators make the most of the AADB Data Bridge and MedStar’s pre-curated and custom-curated EHR datasets.