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Artificial Intelligence Could Help Predict Tumor Sensitivity for Patients with NSCLC

Researchers used standard of care computed tomography (CT) scans to determine that artificial intelligence has the potential to train algorithms which would predict tumor sensitivity to 3 systemic cancer therapies for patients with non-small cell lung cancer (NSCLC), according to data published in Clinical Cancer Research.

“Radiologists’ interpretation of CT scans of cancer patients treated with systemic therapies is inherently subjective,” Laurent Dercle, MD, PhD, associate research scientist at the Columbia University Irving Medical Center, said in a press release. “The purpose of this study was to train cutting-edge AI technologies to predict patients’ responses to treatment, allowing radiologists to deliver more accurate and reproducible predictions of treatment efficacy at an early stage of the disease.”

Data across multiple phase II and phase III clinical studies…

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