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 ...

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

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 ...

RNA sequencing (RNA-seq) is a powerful tool in diagnosing Mendelian disorders, but the optimized sequencing depth for this technology has not yet been determined. In a new study published in the ...

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 /> ...

Tina de los Reyes is the strategic biopharma development specialist for the Western US. With over 10 years of commercial experience in NGS and a Masters in Biomedical diagnostics, she specializes in ...