With AI, it's now possible for researchers to predict the three-dimensional structures of proteins directly from their ...

LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through foundation models, addresses one of the persistent bottlenecks in cancer research: ...

Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their importance, these images often remain difficult to analyze systematically and to ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...

Human genes are written in long strings of three-letter units composed of four different nucleotides. These units—or ...

RNA sequencing has emerged as a powerful supplement to DNA sequencing for Mendelian disease diagnosis, but clinical translation of diagnostic RNA-seq has not been widely achieved. Researchers at ...

RNA plays critical roles in nearly all biological processes, but current methods for sequencing RNA are significantly limited. This is partially because RNA molecules are chemically modified within ...

Platform combines proprietary AI sequence optimization, novel genetic parts, and lab validation in application-relevant cell models to improve expression and half-life, delivering top candidates in ...

In this Teach Me in 10 episode, Dr. Shaveta Goyal, Group Leader of NGS at Takara Bio USA, outlines the practical considerations that matter most when selecting an RNA-seq workflow.<br /><br /> ...

A team at UT Southwestern Medical Center has identified a structural trick that lets viruses translate their genetic code inside human cells, even when that code is riddled with “bad” codons the host ...