An artificial intelligence model predicts how brain immune cells react to RNA and DNA nanoparticles, helping scientists design safer and more effective nucleic acid therapies faster.

The integration of single-cell RNA sequencing (scRNA-seq) with AI has become a cornerstone for deciphering tumor heterogeneity. For instance, in pancreatic ductal adenocarcinoma (PDAC), spatial ...

Good afternoon, and welcome to Sarepta's Third Quarter 2025 Financial Results Conference Call. As a reminder, today's program is being recorded. At this time, I'll turn the call over to Tam Thornton, ...

Learn how advanced molecular dynamics simulations can improve RNA-based therapeutics by modeling complex folding processes.

Researchers at the University Hospital Bonn (UKB) and the University of Bonn have discovered how a small, naturally occurring ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Ribonucleic acid (RNA) is central to gene regulation, but accurately simulating its folding is a long-standing challenge in computational biology. In a recent study, Associate Professor Tadashi Ando ...

Diagnosing heart failure in women can be particularly challenging. New research on biomarkers may lead to more accurate ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

What if the brain's response to stress could be read not in fleeting neurotransmitter bursts, but in the quieting of genes ...