On April 18, 2024, first author Sanju Sinha, PhD, an assistant professor in the Cancer Molecular Therapeutics Program at Sanford Burnham Prebys, and colleagues published details about a new artificial intelligence-powered tool called PERCEPTION (PERsonalized Single-Cell Expression-Based Planning for Treatments In ONcology).
PERCEPTION was proof-of-concept that AI could be used to predict a cancer’s treatment responses from bulk RNA. Sinha and colleagues built AI models for 44 drugs approved by the FDA and found that their tool “predicted the success of targeted treatments against cell lines with a high degree of accuracy.”
The paper was among six specifically highlighted by Monica Bertagnolli, MD, in her blog as director of the National Institutes of Health.