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

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

For India, a 10% sampling framework would signal a new era of transparency, expanding the DGCA’s role to monitoring airline ...

Meta CEO Mark Zuckerberg was scheduled to testify in a Los Angeles courtroom Wednesday as his and other social media ...

Meta CEO Mark Zuckerberg is scheduled to testify Wednesday in the landmark social-media trial taking place in a downtown L.A. courtroom, where a jury is being asked to determine whether child platform ...

Orthopedic surgeons are living in an era of unprecedented technological advancement. Robotic-assisted surgery, AI-driven ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

TCTMD spoke with Lior Jankelson, MD, PhD (NYU Langone Health, New York, NY), an electrophysiologist who leads the AI/machine ...

In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

A deceptively simple question underlies many global environmental policies: where, exactly, are the world’s forests? A new study suggests the answer depends heavily on which map one consults—and that ...

The tax landscape has shifted beneath our feet. What used to be manual reviews and random selections has morphed into ...

Aspen has no shortage of eateries, but it has become increasingly rare to find places that feel both deeply local and ...