We (with the help of artificial intelligence) are more and more able to find exactly the right chemical to attack an individual’s cancer. This article looks like an excellent overview of the state of the art, the possible future of precision treatments, and the obstacles.
Doctors are taking a far more nuanced view of what drugs and treatments will work on which patients and on what different kinds of cancers. The idea of this so-called precision medicine, or personalized medicine, is that ultimately doctors will use genetic tests—of both the patient and the cancer tumor—to determine the exact drugs or treatments that have the best chance of working.
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To wring useful insights out of the data from 170,000 cancer patients that Caris has access to, the company enlists hundreds of different deep-learning algorithms. The programs essentially compete with one another to find patterns in the data that indicate which drugs will work best with which patients. “Different algorithms will miss different patients, but together they can do a better job,” says Spetzler.
