Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Researchers at The University of Texas MD Anderson Cancer Center have performed a comprehensive evaluation of five artificial intelligence (AI) models trained on genomic sequences, known as DNA ...

A Northwestern Medicine study has detailed the development of a machine learning model to predict DNA methylation status in cell-free DNA by its fragmentation patterns, according to findings published ...

In a recent study published in the journal Nature, researchers at the Arc Institute describe the development and advantages of “Evo 2”. Evo 2 is a novel biological foundation model trained on a ...

*Important notice: bioRxiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or ...

A joint research team has developed an automated design technology that enables the creation of DNA origami structures that ...

A new artificial intelligence model can predict how different proteins may bind to DNA. A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how ...

Arc Institute, a research organization that operates in collaboration with UC Berkeley, has released an artificial intelligence model that can classify and generate strands of DNA. This technology has ...

In a step toward treating mitochondrial diseases, researchers at the University Medical Center Utrecht and their colleagues have used mitochondrial base editing (mtBE) to successfully edit harmful ...