Heeding Nature's Call: Reading the Body with AI - #BOSTechWeek
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AI for protein design just won the Nobel Prize. Generative models are designing entire genomes from scratch. Researchers are using AI to predict drug responses, detect disease from a chest X-ray before symptoms appear, and design novel biomolecules that evolution never imagined. We've entered a moment where biology is becoming as designable, testable, and iterable as software.
Enabling this are entirely new data layers emerging around the human body. A decade ago, continuously tracking your heart rate was a novelty. Now we have platforms decoding our physiology in real time, generating the kind of longitudinal, high-resolution biological data that AI models are hungry for. The feedback loop between biological measurement and biological intervention is tightening. "Healthcare" as we think of it today may soon be something closer to human engineering. This convergence is creating a new kind of stack where the compute platform isn't a chip. It's you.
Join John Capodilupo, Co-Founder and CPO of Throne, and Conor Loy, PhD, Co-Founder and CEO of Romix Bio for a conversation about building at this intersection.
John Capodilupo dropped out of Harvard to co-found WHOOP, where he spent a decade as CTO pioneering continuous physiological monitoring — from elite athletes to millions of everyday users. He's now co-founder and Chief Product Officer of Throne, which is bringing the same approach to gut health: turning a daily routine into a passive, continuous stream of digestive and urinary health data. He also lives with ulcerative colitis, making this work deeply personal.
Conor Loy, PhD is CEO and co-founder of Romix Biosciences, where he's building an AI-powered platform that delivers a full-body molecular scan of inflammation from a single blood draw. By profiling cell-free RNA — intact RNA molecules released by dying and activated cells across every organ — Romix can decode tumor microenvironments, predict CAR-T therapy response, diagnose elusive diseases like Kawasaki, and discover novel drug targets. Conor is a Cornell-trained cell-free RNA pioneer with publications in Nature, PNAS, and Cell Reports Medicine.
Together, they represent two sides of the same thesis: the body is becoming a readable, writable, programmable system. One is building the read layer — continuous biological sensing. The other is building the write layer — AI-driven molecular diagnostics and drug development infrastructure. The question isn't whether this convergence happens. It's what we build when it does — and what it means when biology starts moving at the speed of software.
Moderated by Drew Volpe from First Star Ventures, a pre-seed fund investing at the evolutionary edge of computing: from quantum to synthetic biology to the companies building the interface between AI and the human body.
This event is a part of #BOSTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
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