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 wave of AI foundation models built on plant DNA sequences is giving researchers new tools to annotate genomes, predict gene ...

Researchers examined five AI models on multiple genomic tasks to see how well they performed Models performed well overall, with each having strengths and weaknesses based on the desired task Study ...

Posts from this topic will be added to your daily email digest and your homepage feed. AlphaFold 3 uses the same method as AI image generators to predict how different molecules fit together.

Understanding how genes are switched on and off in specific cell types remains one of biology's central challenges. While AI ...

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology ...

Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

R-loops are structures that form when a strand of RNA (red) forms a stable structure with double-stranded DNA, causing one strand of the DNA to form a loop. R-loops are associated with gene ...