Managing diabetes is a daily challenge faced by nearly 40 million Americans. It involves tracking food intake, timing ...

The gap between a brain’s chronological age and its predicted age strongly mediates risk factors for cognitive decline, ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

The CAC-DAD score will need to be externally validated in lower risk patients before it can be used clinically, several ...

In a remarkable achievement that is already impacting how we detect and diagnose disease, UK Biobank has completed the ...

Can AI improve patient outcomes while reducing costs? The answer to that question may be closer than you think.

The fusion of wearables with AI is particularly transformative. A UAE-based healthcare entity recently partnered with global ...

The WHO technical brief recognizes India’s sweeping efforts to integrate AI with its diverse Ayush systems, including Ayurveda, Siddha, Unani, Sowa Rigpa, and Homoeopathy.

A new wearable wristband could significantly improve diabetes management by continuously tracking not only glucose but also ...

Type 1 diabetes is more prevalent in Finland than anywhere else in the world, affecting approximately 50,000 people. New ...

Smart home healthcare market will evolve toward embedded edge intelligence, energy-aware sensors, and interoperable standards ...

Earlier, in January 2025, the FDA released a companion piece of draft guidance titled “Considerations for the Use of Artificial Intelligence to Support Regulatory Decision-Making for Drug and ...