This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Our findings suggest that umbilical cord blood could help clinicians and parents more proactively address a child’s risk for Type 1 diabetes. Cord blood is often tossed out during the birthing process ...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Background Early identification of patients at risk of heart failure (HF) provides opportunities for preventative management. Though models have been developed to predict HF incidence, their ...

A team of researchers from USC in collaboration with the California Institute of Technology (Caltech) have received approximately $7.8 million from the Advanced Research Projects Agency for ...

Let’s dig into the relative performance of DexCom (NASDAQ:DXCM) and its peers as we unravel the now-completed Q4 patient ...

Healthcare today is undergoing a quiet transformation, one driven not by hospital expansions or new pharmaceuticals, but by ...

Amazon has already collaborated with Memorial Sloan Kettering Cancer Center with its AI software.

The Office of Undergraduate Research organizes the Symposium of Student Scholars twice per year, offering students a unique ...

USANewsGroup.com News Commentary -- The global AI cardiology market is on track to hit $2.78 billion this year and climb past $14 billion by 2034, and the reason is straightforward: software is ...