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To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Dr. Michael Spaeder of the University of Virginia previews his upcoming HIMSS26 talk on using AI and machine learning to detect potentially catastrophic health events.

Upstart's (UPST) shares have had a rough couple of months since last summer, diving from over $80 down to the $30 range today. I last covered the company about 1.5 years ago after a positive earnings ...

For years, Iceland, Switzerland, and Norway have ranked near the top of the United Nations' annual index of countries based on indicators of well-being and quality of life. Countries with more poverty ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...

As AI floods the SOC, security teams are discovering that smarter data architecture may matter more than smarter algorithms.

James Cook University researchers are developing a new tool to help farmers monitor crop health and accurately detect diseased sugarcane before it ...

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of ...

Both red and blue states are fighting against the use of artificial intelligence in health insurance determinations — but Trump disagrees.