BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

In today’s CEO Daily: Diane Brady talks with Amazon CTO Werner Vogels about emerging tech trends. The big story: Google challenges Nvidia’s AI chips. The markets: Flat in Europe; small gains in Asia.

Bitcoin (BTC) surged nearly 5% early Monday, November 10, climbing back above $106,000 after briefly plunging below $100,000 last week. The uptick came as investors rushed to “buy the dip” following a ...

Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...

Background: Liver failure is associated with high short-term mortality, and the predictive value of clinical factors for patients undergoing artificial liver therapy is uncertain. We aim to develop ...

Abstract: Heart attacks are a prominent source of morbidity and mortality globally, demanding the development of precise and efficient predictive models for early identification and risk ...

1 Department of Science and Education, Shenyang Maternity and Child Health Hospital, Shenyang, China 2 Department of Maternal, Child and Adolescent Health, School of Public Health, Shenyang Medical ...

Nvidia’s (NASDAQ: NVDA) stock price has taken a hit, retreating from its recent high above $180. However, artificial intelligence (AI) tools are projecting that the equity will likely reclaim this ...

Researchers have developed a machine learning-based approach to accurately predict the compressive strength of concrete made with industrial waste, offering a faster and more efficient alternative to ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...