MIT mathematician Dimitris Bertsimas has a history of diabetes in his family, inspiring his interest in studying the disease and triggering a potential breakthrough in its treatment.
So together with his students, he developed a data-driven algorithm to do something about it.
He explains it this way to Smithsonian Magazine:
“The algorithm mines patient and drug data, finds what is most relevant to a particular patient based on his or her medical history and then makes a recommendation on whether another treatment or medicine would be more effective.”
The goal is to improve treatments for individual patients, to ensure they’re getting the best personalized care possible. Bertsimas believes the algorithm may be beneficial beyond helping the 29 million Americans afflicted with also be applicable to cancer, Alzheimer’s, and cardiovascular disease.
To read the entire article in Smithsonian Magazine, click here.