Years later, I was the doctor in the exam room, but I was still looking. The hospital where I worked was a national referral center for pediatric rare diseases, 95% of which have no cure. Every day, I was reminded how little medicine could explain about my patients’ conditions: the cellular dysfunction we could not see and the symptoms we could not explain.
But I also believe all of this can change—not 50 years from now, but far sooner—if the scientific community works urgently and collectively to realize the promise of AI in human health.
Given that extraordinary promise—and the rapid progress we’re seeing right now—this is the moment for leaders across technology, scientific research, and philanthropy to lay the foundations for the next era of scientific discovery and cures. No one organization can do it alone. This is why we must bring the global community together to build an open data foundation for AI-accelerated biology. And it is why the institute I lead, Biohub, is announcing the Virtual Biology Initiative.
AI models aren’t subject to any of those constraints, which means they could finally give the scientific community a way to address the most difficult and urgent questions in human health. If AI can simulate and understand the immune system, it should be possible to engineer therapies to prevent diseases like cancer at the earliest stages. Or neurodegeneration. Or metabolic disorders. As far as we know, the possibilities for new cures would be limited only by the scale of the models.
To put it in motion, the scientific community will need to collaborate on an unprecedented scale.
The Virtual Biology Initiative will build on all of this work. To help jump-start a coordinated global effort, it begins with a $100 million commitment to fund data generation across the scientific community. Several other institutions are coming together with Biohub, including the Allen Institute, Arc Institute, Broad Institute, and Wellcome Sanger Institute—as well as consortia including the Human Cell Atlas and the Human Protein Atlas to coordinate a larger-scale effort. NVIDIA is partnering on this effort as well, and Renaissance Philanthropy will join to catalyze funding.
If you have the resources to do or support biology research, I urge you to join in this effort. I am confident that AI models will solve mysteries in human health that the past century of research could not. We’ll reach those answers faster if we work together.
Whether they know it or not, millions of people—sick patients and worried spouses, families without answers, and people who haven’t begun to search—are counting on our success.
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