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: ...

In a recent study published in the journal Cell, researchers developed a deep learning model, "LucaProt," a transformer-based AI model to detect highly divergent ribonucleic acid (RNA)-dependent RNA ...

RNA plays a vital role in how our genes are expressed and how diseases develop. Yet, because RNA molecules constantly change shape, understanding how they work has long been a major scientific ...

Blank Bio, an applied AI research lab focused on training foundation models for RNA, announced the closing of a $7.2 million seed financing round along with a strategic collaboration with Pacific ...

Scientists in the laboratory of Rendong Yang, Ph.D., associate professor of Urology, have developed a new large language model that can interpret transcriptomic data in cancer cell lines more ...

Shimadzu has recently released the MultiNA II MCE-301 microchip electrophoresis system. By automating the entire process of ...

RNA sequencing (RNA-seq) is a powerful tool for molecular biologists looking for what drives mechanisms of disease. 1 RNA-seq is routinely used for both research and clinical applications in diseases ...

This presentation will describe both common and specialized multiplex methods for RNA in situ hybridization (ISH) and immunohistochemical labeling of proteins (IHC). We initially used neuronal cell ...

Pacific Biosciences of California PACB, also known as PacBio, recently entered a collaboration with Blank Bio, an applied AI research company focused on RNA foundation models for precision oncology.

A new RNA search engine can scan millions of cells in seconds for mutations, pathogens, isoforms and other biological clues.