Without Form and Void: Learning the Residual of Bioprocess Scale
We argue that encoding Galileo's Similarity Theories as ML inductive biases is the only way to transform bioprocess scaling from alchemical art into a predictable engineering practice.
We write about frontier advances in the life sciences, machine learning, and technology, and how their fusion is reshaping the trajectory of life on Earth.