Raina Biosciences has announced the publication of data from its generative AI platform in Science. The data supports Raina's pioneering approach to mRNA design using its GEMORNA platform to generate novel sequences with superior drug properties over existing mRNA discovery methods. Founded by a team with deep RNA therapeutics and AI expertise, the Company’s mission is to transform the mRNA-based therapeutics landscape by accelerating drug discovery timelines and opening new therapeutic areas for mRNA with best-in-class AI-designed therapeutics.

When genetic testing reveals a rare DNA mutation, doctors and patients are frequently left in the dark about what it actually means. Now, researchers at the Icahn School of Medicine at Mount Sinai have developed a powerful new way to determine whether a patient with a mutation is likely to actually develop disease, a concept known in genetics as penetrance. The team set out to solve this problem using artificial intelligence (AI) and routine lab tests like cholesterol, blood counts, and kidney function. Details of the findings were reported in the August 28 online issue of Science. Their new method combines machine learning with electronic health records to offer a more accurate, data-driven view of genetic risk.