Researchers have built a machine-learning model that can distinguish between Alzheimer’s disease, dementia with Lewy bodies, ...

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...

Major release delivers seamless Ignition SCADA, enterprise-grade security, advanced ML algorithms, and private cloud ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

Chris is a writer and editor with over 10 years of experience covering games and has a bachelor's degree in History from the University of Central Lancashire. He's mainly focused on guides, but has ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

The symptom profiles of different neurodegenerative diseases often overlap, and diagnosing age-related cognitive symptoms is ...

Artificial intelligence has been a prime concern for cybersecurity for years, but it took on a new urgency at this week’s ...