Not every model needs to save lives, but when one does, we get excited. One foundation model that pushes the state-of-the-art across 300+ pathologies and leads to superhuman breakthroughs (i.e. predicting future cancer) that generalize across continents? Now that’s insane. Massive respect to Adam Yala and team!
Co-founder and CEO, Voio Inc; Assistant Professor of Computational Precision Health at UC Berkeley and UCSF.
Today, we’re excited to introduce Voio, a frontier AI lab dedicated to healthcare. As a computer scientist, I’ve seen first hand how the frontier of AI innovation can make it more fun and more empowering to do my job; every year is a better year to be an AI researcher. In nearly a decade of working in healthcare, I’ve never seen a physician feel the same way; the tools stay the same, the workload gets higher, and life gets just a little bit harder. The patient experience rarely inspires delight. At Voio, we’re building a frontier lab to bring the most ambitious AI innovation to where it matters most, healthcare. Starting in radiology, we’re building a unified reading platform that supports radiologists across every scan and modality. Our mission at Voio is to create technology that helps radiologists work faster without sacrificing accuracy—restoring time for interpretation, reducing burnout, and enabling more proactive, preventative care. There is an incredibly exciting opportunity to make health care that anticipates both physician and patient needs. As part of this launch, we’re releasing Pillar-0, our foundation model for radiology developed by my lab at UC Berkeley and UCSF. Pillar-0 processes full CT/MRI volumes, delivers 10–17 point AUC gains over Google, Microsoft, and Alibaba’s best public models across 350+ findings. Pillar-0 raises the bar for radiology foundation models—better, faster, more data efficient, and it’s already improving state-of-the-art in clinical frontier tasks like predicting future lung cancer. Pillar-0 is open-source, and you can build on it today. I can’t wait to see what it enables. Releasing Pillar-0 in the open is part of our broader vision for Voio. Healthcare demands performance transparency, rigour, and collaboration. When the community can’t independently test models, the whole community suffers. We’re excited to continue working with the academic partners to advance the science of precision health. I’m excited for this milestone and can’t wait to share even bigger results soon. Onwards! Website: Voio.com Full company announcement here: https://lnkd.in/d_wr846C Full Pillar-0 announcement here: https://lnkd.in/dbZ9dBps Pillar-0 code, models, documentation, and evaluation tools are available here: https://lnkd.in/d7XnDNrU