Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

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 ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.