This session examines how AI, predictive algorithms and data are being used to support real-time surgical decisions, enhance everyday diagnostics, and improve outcomes across modern healthcare.

A machine learning model combining serum thermal fingerprints from differential scanning calorimetry with clinical variables ...

Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent ...

On September 30, the Governor of California Gavin Newsom signed Senator Jerry McNerney’s SB 947, a landmark AI law, banning ...

OnDeck's new AI-powered verification, combined with its machine learning, can produce real-time decisioning that can cut funding decision time from a few hours to under a minute, with the goal of ...

A study of almost 1,000 research papers in the field of digital finance has mapped out how technology, investor behavior and ...

Utilizing machine learning to assess distinct depressive symptoms improves the identification of adults with suicidal ideation.

Sofia University, a WASC Senior College and University Commission (WSCUC)-accredited institution, is expanding its graduate computer science offerings with the launch of a new Doctor of Machine ...

Guaraang Malik explains how AI building energy management could predict demand and shift cooling loads, with real building ...

In the realm of Intensive Outpatient Programs (IOP), machine learning is reshaping how facilities such as those in Scottsdale operate. By integrating advanced ...

In the short term, AMD price might remain be somewhat muted, at least according to a machine learning algorithm.

A machine learning model has projected that Nvidia (NASDAQ: NVDA) stock could trade at an average price of $248.25 by October ...