An AI-driven strategy to accelerate microbial gene function discovery

We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research team has proposed a cutting-edge research strategy that leverages artificial ...
technologynetworks

Rethinking Target-Based Drug Discovery: Challenges, Innovations and the Next S-Curve

Drug discovery has long relied on two key strategies: target-based and phenotypic screening. Recombinant technologies and genomics opened the door to modern target-based drug discovery (TBDD), ...
GEN

Schrödinger’s Equation: Physics + Machine Learning = Drug Discovery

In developing drugs using a platform that joins physics with machine learning, Schrödinger sees more than a passing resemblance to the studio whose Toy Story and other computer-generated movies ...
Hosted on MSN

Machine learning approach leads to discovery of high-performance infrared functional materials

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, forming the technological backbone of modern optoelectronics. Traditionally ...
AZOM

Machine Learning Approaches for Accelerated Materials Discovery

Artificial Intelligence and its related tools, such as machine learning, deep learning, and neural networks, are revolutionizing every field of life. The domain of materials science and engineering is ...