A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

An AI model developed by Google's DeepMind could transform our understanding of DNA - the complete recipe for building and running the human body - and its impact on disease and medicine discovery, ...

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 ...

Stanford Medicine researchers have built CRISPR-GPT, a large language model designed to automate the full arc of gene-editing experiments, from selecting the right CRISPR system to designing guide ...

The investigations of KIT researchers have shown that biomolecular condensates enable fast yet reliable activation of the right genes. “Biomolecular condensates are tiny drops that form in specific ...

Scientists found that DNA’s phosphate groups can direct chemical reactions to make the correct mirror-image form of drug molecules. This breakthrough simplifies chiral drug production, reducing waste ...

Existing gene-editing technologies have led to significant advances in both medicine and food production. However, momentum appears to be slowing, particularly in health applications, as early hype is ...

DNA has been used for years to store data, but encoding information into the molecule is painstaking work. Now, researchers have drastically sped it up by mimicking a natural biological process that ...

The discovery of CRISPR-Cas9’s gene-editing prowess revolutionized genetic engineering just over a decade ago. Now it appears that genetic engineering technology may be taking its next big leap.

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...