We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...

This study shows that excitatory cholecystokinin (CCK)-expressing neurons in hippocampal area CA3 influence hippocampal-dependent memory using multiple methods to manipulate excitatory CCK-expressing ...

A new software enables brain simulations which both imitate the processes in the brain in detail and can solve challenging ...

In part two of this three-part series, AI scientists immerse themselves in the world of primatology to accelerate behavioral ...

It's a really beautiful way to show some respect to the memories attached to the little scraps of paper. " — Bonna The kit comes with two landscapes and one portrait of Bob. Promising review: "I have ...

Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials science. However, conventional methods are computationally intensive and ...

For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...