NIH develops AI tool to better pair cancer patients with drugs

The article discusses how researchers at the National Cancer Institute have developed an artificial intelligence tool named PERCEPTION that can predict whether a patient will respond to cancer treatment drugs using individual tumor cells. The tool takes advantage of single-cell RNA sequencing to provide more precise data for predicting drug responses. The study showed promise in clinical trials for myeloma and breast cancer, creating a numerical value for the effectiveness of drug combinations based on individual tumor cell responses.

Highlights:
1. Development of an AI tool by researchers at the National Cancer Institute that predicts patient responses to cancer treatment drugs using single-cell RNA sequencing.
2. PERCEPTION showed promise in clinical trials for myeloma and breast cancer by determining the most effective treatment based on individual tumor cell responses.
3. The broader trend of using artificial intelligence in the life sciences sector for drug discovery, as seen with initiatives like the Cancer Screen Research Network and AI programs predicting PTSD signs following childbirth.

Summary:
The article highlights the development of an AI tool by researchers at the National Cancer Institute that uses single-cell RNA sequencing to predict patient responses to cancer treatment drugs. The tool, named PERCEPTION, showed promise in clinical trials for myeloma and breast cancer by determining the most effective treatment based on individual tumor cell responses. This demonstrates a shift towards more personalized and precise treatment options in cancer care.

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