If you’re working in pharma or biotech, you're no stranger to AI. You’re probably familiar with the struggle to improve popular models by adding more (and more) training data. It makes sense – surely if you give your AI more data, you’ll be able to solve any problem. It’s just a matter of quantity.
But ...