[ak217]

First, this article is about medicine, not science, so I'm not sure that the critique is well targeted.

Your critique might apply to an article written about the use of AI/ML in science, in which case it would be uninformed - algorithms like DeepVariant, DeepConsensus, and AlphaFold are fundamental AI-enabled tools for gathering and interpreting new information from existing sensors that changed the state of the art and are advancing science and enabling cures today. AI-enabled tools are also improving information management and literature search for scientists, because advancing science usually is about making better use of the info you have - a lot of scientific breakthroughs today are made by analyzing data that has already been gathered (like Genbank or UK Biobank or All of Us data).

[Kalanos]

You're both right. Can't develop a species and tissue-specific protein-protein interaction predictor without enough raw experimental training data.