A graph-based computational tool for detecting previously invisible genetic mutations has been developed. Researchers at the University of California, Los Angeles (UCLA; USA) and the University of ...

Scientists at UCLA and the University of Toronto have developed an advanced computational tool, called moPepGen, that helps identify previously invisible genetic mutations in proteins, unlocking new ...

Genome editing technologies like CRISPR-Cas9 have transformed biology, medicine, and agriculture, but concerns remain about unintended edits at off-target DNA sites. These off-target effects can cause ...

A newly developed AI can predict which diseases specific genetic mutations are likely to cause, not just whether they are harmful. The breakthrough could speed up diagnoses and open new paths for ...

A collaboration including Rice University, Baylor College of Medicine and Texas Children’s Hospital’s Jan and Dan Duncan Neurological Research Institute (NRI) has produced a breakthrough in how to ...

Scientists at the Icahn School of Medicine at Mount Sinai have developed a novel artificial intelligence tool that not only identifies disease-causing genetic mutations but also predicts the type of ...

When 18 individuals with overlapping symptoms were left without a unifying diagnosis, Yale’s Saquib Lakhani and Lauren Jeffries joined forces with researchers around the world to discern the genetic ...

University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene regulation networks with applications in cancer survival analysis.

New research reveals how a common gene variation boosts salivary enzymes, especially in people with diabetes, hinting at a possible biological link between starch digestion and blood glucose ...