"AI Tool Predicts Personalized Cancer Therapy Outcomes from Single-Cell Data"

Researchers at the National Institutes of Health (NIH) have developed an AI tool that uses single-cell RNA sequencing data to predict whether a person’s cancer will respond to a specific drug, potentially leading to more precise matching of cancer patients with effective drugs. The tool, called Personalized Single-Cell Expression-based Planning for Treatments In Oncology (PERCEPTION), was able to accurately predict drug responses at the individual cell level and identify resistance to certain drugs in cancer patients. The researchers believe that this approach could lead to more lasting drug responses, but caution that its accuracy will improve as single-cell RNA sequencing data become more widely available.