[AI Week] Fireside Chat: How AI is speeding up breakthroughs in cancer research

​What happens when the country's leading cancer centers stop guarding their data and start learning from it together? On AI Frontier Day, Brian M. Bot joins Skillsheet's Aniket Naravanekar for a fireside chat on the Cancer AI Alliance (CAIA). CAIA brings together four comprehensive cancer centers (Dana-Farber, Fred Hutch, Johns Hopkins and Memorial Sloan Kettering) with industry partners including AWS, Deloitte, Google, Microsoft and NVIDIA. Its goal is to use federated learning to speed up breakthroughs in cancer research and care without moving patient data.

​What you'll learn

• ​How federated learning lets institutions train AI models together while each keeps its own sensitive patient data

• ​What it takes to coordinate competing cancer centers and big tech partners around a single mission

• ​Where AI is already changing cancer research, and what still has to be solved on data, legal and regulatory fronts

• ​What founders and builders can take from CAIA about responsible AI in high-stakes domains

​Featuring

​Brian M. Bot is Director of AI & Data Science Partnerships at Fred Hutch Cancer Center and Director of the Cancer AI Alliance (CAIA) Strategic Coordinating Center. He is a data scientist and strategist focused on advancing collaborative, data-driven research. His work centers on building large-scale partnerships at the intersection of AI, technology, and biomedicine, with an emphasis on open science and cross-sector collaboration. He has advised national and global organizations on data strategy and has been recognized for contributions to advancing open, equitable data ecosystems.

​Aniket Naravanekar (Moderator), Skillsheet, co-host of Seattle AI Week

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​Part of Seattle AI Week, hosted at Thinkspace in partnership with Skillsheet. Full calendar: https://luma.com/thinkspace

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