, Dr. Bertalan Meskó, director of the Medical Futurist Institute, suggested that “there is no precision medicine without AI.” His point, albeit forward-looking, acknowledges that without AI to analyze it, patient data will remain severely untapped., genetic data has been at the center of discussions about individualizing treatments, but it’s only one course in the feast that will satisfy AI’s nutritional requirements.
In one of Topol’s research projects, he uses deep learning techniques to study the genetic, cardiovascular, and microbiomic data of “special populations,” such as 90-year-olds, to discover patterns that make them healthy. Researchers might use these patterns to develop drugs that disable harmful genes; doctors might use them to predict who’s at risk of disease. “It’s not a clinical project at this juncture,” says Topol.
“Past treatments, the current complexity of the disease, side effects—all that info needs to be integrated in order to intelligently choose the new treatment,” says Krakow. Krakow is now validating the data. Though her study’s immediate purpose is to create a tool that can inform which treatment sequence a doctor follows, it will also enable her future work by creating a gold-standard record that accounts for the sequential nature of cancer treatment, which clinical trials have failed to establish.
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