@math_rachel
The powerful idea behind *foundation models* is to train on many datasets (tissue images from many organs) and multiple tasks (recognizing cancer, segmenting cells, predicting treatment outcomes) Patterns learned from one dataset/one task are likely to generalize to others. 2/ https://t.co/3XVCSgsrQ5