Berkeley Biomedical Data Science center

AI-discovered cellular morphometric biomarkers in needle biopsy of prostate cancer predict neoadjuvant androgen deprivation therapy response and enable therapeutic targeting of mTOR in androgen deprivation therapy-resistant tumors Researchers at Berkeley Lab have led the development of an artificial intelligence-based biomarker that predicts neoadjuvant androgen deprivation therapy response in prostate cancer using standard histopathology images. The approach, termed a 13-cel

Through initiatives such as Genesis AI, Berkeley Lab is helping to lead a new era of discovery in which advanced computational approaches can illuminate the biological consequences of environmental exposures and guide strategies to protect vulnerable populations. Environmental exposures often leave traces long after the original source disappears. One such exposure: thirdhand smoke (THS) , is increasingly recognized as a hidden but persistent threat to human health. Unlike se

GenomeOcean is a generative model available for researchers to analyze and create DNA sequences from microbial life. [Image: OpenAI] Unlocking the intricate details of life’s genetic blueprint has long been a significant challenge in genomics. Enter GenomeOcean, a powerful generative model  now available to the global research community able to not just analyze but also create DNA sequences mimicking an array of microbial life. By leveraging massive user-generated datasets a