NEW ORLEANS — A smartphone application that tracks a person’s heart rate may be able to detect diabetes using a photoplethysmography signal, which is easily measured using a smartphone ...

They used deep learning methods* and data from more than 2000 MRIs to identify patients with (pre-) diabetes. The results have now been published in the journal JCI Insight. Advanced Search ...

A deep learning model was developed using circulating cell-free DNA samples from 5,085 pregnant women, including 1,942 GDM patients and 3,143 healthy controls, to predict GDM status.

A new deep-learning model in Qatar has been used to develop a fast and accurate diabetes diagnostic tool. Muhammad Al-Sayed Ali. Jasmin Merdan/ Moment/ Getty Images. Diabetes affects 537 million ...