Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Dipteryx oleifera trees not only survive lightning strikes, they grow taller, lose rivals, and reproduce more successfully.

Abstract: Accurate separation of wood and leaf components from tree point clouds is essential for precise tree parameter estimation and high-fidelity 3-D model reconstruction. However, deep learning ...

A team from the Institute for Advanced Study, Emory University in the US, and the Weizmann Institute of Science, Israel, has developed a new mathematical framework to understand how humans store ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...