Anton Petrus
While there’s been a lot of scary news around AI—from robots replacing our jobs to potentially killing us all in Terminator-esque apocalypse scenarios—there are also more hopeful signs that powerful machine learning algorithms and humans can coexist. One good example comes from medicine, where AI is already being used to help diagnose and identify diseases to help doctors streamline treatment for patients.
Now, it may even be used to zero in on the origins of one of the deadliest diseases out there.
A team of scientists at MIT and the Dana-Farber Cancer Institute published a paper Monday in the journal Nature Science where they show off the development of an AI called OncoNPC that predicts where a patient’s cancer came from in their body—information that can help determine more effective treatment decisions for patients and caregivers.