Not to mention that even if the AI technology here was decent (which it doesn't appear to be) it suffered greatly from a dearth of samples. Machine learning requires big data, and cancer treatment data is, in many instances, just not big enough. An AI solution would need millions of well-labeled, perfectly formatted cases to learn from; there may be thousands of those for a particular subtype of cancer, but there's not millions.
Not if you understand mechanism. In reality the breakthrough will be biologists applying ML/AI, not the other way around. Domain and mechanistic knowledge are king.
