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 with high accuracy.

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 ...

Web3 is looking at a similar trajectory. The industry is pivoting from theoretical musings to measurable utility in 2026, ...

Built on an integrated end-to-end architecture of Construct-Align-Reason (CAR), LOM enables AI, for the first time, to autonomously construct structured business logic system from raw enterprise data ...

Social media giants made decisions which allowed more harmful content on people's feeds, after internal research into their algorithms showed how outrage fuelled engagement, whistleblowers told the ...

For weeks, they’d been having furtive discussions about whether Sam Altman, OpenAI’s C.E.O., and Greg Brockman, his second-in ...

Tracking The Right Global Warming MetricWhen it comes to climate change induced by greenhouse gases, most of the public’s ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Decision neuroscience explores the neural underpinnings of how individuals and groups make choices, integrating perspectives from cognitive neuroscience, ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...