Programs
The foundation organizes its public-interest work around the pieces needed to make clinical trials in a dish useful: benchmarks that mean something, triage protocols that connect to decisions, and open infrastructure that lets methods be inspected.
A benchmark is only useful if it says what kind of decision it supports. This program area focuses on endpoint definitions, reproducibility, and context of use.
AI discovery can produce lists of plausible molecules, targets, and combinations. The translational question is how those candidates move through filters before clinical budgets, regulatory attention, or patient enrollment become involved.
Nonprofit work is useful when it makes the field easier to inspect. This program area emphasizes public methods, shared evaluation notes, and documentation that can help funders, labs, and collaborators understand why a dish-scale result should be trusted or questioned.