Inside Precision Medicine April 18, 2024
Machine learning and transcriptomics have been combined to create a computational pipeline to systematically predict patient response to cancer drugs, including resistance emergence, at single-cell resolution. The researchers who built the pipeline, PERCEPTION, say this is the first of its kind. It is not yet “clinic ready,” but they hope that by encouraging more groups to use it, the model will become more robust and better validated.
Their study was published in Nature Cancer. The first author is Sanju Sinha, PhD, of the Cancer Molecular Therapeutics Program at Sanford Burnham Prebys. The senior authors are Eytan Ruppin, MD, PhD, and Alejandro Schaffer, PhD, at the National Cancer Institute. PERCEPTION is accessible at https://github.com/ruppinlab/PERCEPTION.
Currently, few cancer patients benefit from...
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