BIOPREVENT’ AI tool predicts transplant-related immune conflict and mortality risk using biomarkers, helping doctors ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...

In this article, we speak to a number of leading mainstream CAD developers to bring you a sneak peek into this future..

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 possible variants—more combinations than atoms in the observable universe.

During cement production, large amounts of carbon dioxide are released. A novel concrete is intended to remove the gas from ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

A Rensselaer Polytechnic Institute (RPI) engineering professor, Shaowu Pan, Ph.D. and his team of students have integrated ...

Users around the world have rushed to adopt artificial intelligence—especially in safety-critical fields—but a new study has revealed the hype has prioritized technology for technology's sake instead ...

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

In the pursuit of natural flavor enhancement, AI tools are revolutionizing how food creators predict, optimize, and refine tastes with real ingredients (not synthetic additives) ...