A machine learning model for prediction of preeclampsia risk using routinely collected data was feasible among pregnancies in ...

Out of the diabetes patients surveyed, 46% said they would feel more in control of their disease in everyday life if they could identify trends before they turn into problems.

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...

In the past few years, edge artificial intelligence (AI) has moved beyond experimental pilots and into real deployments ...

The meeting was chaired by CP Cyberabad M. Ramesh, who directed officials to examine the feasibility of introducing intelligent traffic technologies to improve congestion management, enforcement ...

Cognitive Intelligence Platforms (CIPs) represent the convergence of AI, ML, NLP, and advanced analytics into unified enterprise ...

The partnership is aimed at integrating Nexar's BADAS (Beyond ADAS), a foundation model that redefines how the industry approaches vehicle safety and autonomy, directly into Vay's remotely driven ...

Cybersecurity emerges as a critical concern. As digitalization expands, energy infrastructures become more exposed to cyber threats. AI can strengthen security by detecting anomalies and automating ...

Antibody therapies are changing the treatment of cancer, inflammatory diseases and infections. However, many promising drug ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

Africa’s push toward artificial intelligence (AI) is accelerating, but new research suggests the continent’s digital privacy foundations remain dangerously uneven. In a detailed policy and discourse ...