AI, Cancer Vaccines, and the Future of Personalized Medicine | Sid Sijbrandij on GitLab + Biotech

Can AI help design personalized cancer vaccines? Visit Future of Cancer Care Today: https://sijbrandijfoundation.org/fcct In this episode, we speak with Sid Sijbrandij, founder of GitLab who went "Founder Mode" against his own cancer. Sid discusses personalized cancer vaccines, tumor sequencing, immunotherapy, and the challenge of making cutting-edge cancer treatments accessible to patients outside traditional clinical trials. We explore how personalized mRNA cancer vaccines work, from sequencing a tumor and identifying mutations that distinguish cancer cells from healthy cells to selecting tumor-specific antigens that can be encoded into an mRNA vaccine. Sid explains why this approach is fundamentally different from conventional chemotherapy and why engaging the patient's own immune system could give immunotherapies the potential to produce durable or even curative responses. Sid also describes his own experience combining multiple experimental treatment modalities, including personalized mRNA vaccines, immunotherapies, and radioligand therapy. He explains how radioligands can use molecular binders to selectively deliver radiation to tumor tissue, and how modifying the tumor microenvironment may make cancers more susceptible to subsequent immune therapies. We also discuss why personalized cancer vaccines remain difficult and expensive to manufacture. In melanoma, recent clinical trials have demonstrated that individualized mRNA vaccines can target dozens of tumor-specific antigens, with surprisingly little overlap between patients. This creates a fundamentally different manufacturing problem from producing a conventional drug at scale: every patient's vaccine may need to be designed and manufactured separately. Finally, Sid explains his effort to make these technologies more accessible through a network of biotech companies. He describes the economics and logistics of producing personalized cancer vaccines, including his experience reducing the time and cost required to manufacture an individualized vaccine, and why he believes falling sequencing costs, AI-assisted biological analysis, and repeated manufacturing experience could eventually make personalized treatments available to far more patients. Follow us for more technical interviews with the world’s greatest scientists: Twitter: https://x.com/632nmPodcast Instagram: https://www.instagram.com/632nmpodcast?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw== LinkedIn: https://www.linkedin.com/company/632nm/about/ Substack: https://632nmpodcast.substack.com/ Follow our hosts! Michael Dubrovsky: https://www.linkedin.com/in/michael-dubrovsky/ Devan Shah: https://www.linkedin.com/in/shahdevan/ Mikhail Shalaginov: https://www.linkedin.com/in/mikhail-shalaginov/ Subscribe: Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269 Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR Website: https://www.632nm.com Timestamps: 00:00 - Intro 01:10 - mRNA Vaccine Basics 10:20 - Costs of mRNA Vaccine Development 15:59 - Lessons from Building GitLab 19:19 - Standard of Care for Cancer 24:50 - Sid’s Life Story and GitLab 30:49 - Going Founder Mode Against Cancer 42:03 - Selecting Experimental Treatments 50:38 - How Did Sid Know Treatments Were Working? 58:08 - AI for Treatment Assistance 1:02:54 - Making Personalized Treatments Affordable 1:08:17 - Where are the Levers for Improving Drug Development? 1:10:54 - Most Promising Areas of Drug Development 1:17:14 - The Happy Accident of Sid’s Biotech Investments 1:21:07 - Reflecting on Building GitLab 1:22:46 - How Does Sid Start So Many Companies? 1:26:02 - Finding the Right People for Early Companies 1:34:19 - Will the Bahamas be the Next Singapore? 1:38:42 - Advice for Young Scientists #cancer #biology #immunology #cancerresearch #gitlab