Lesions

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AI may help predict patient response to non-small cell lung cancer therapies

March 23, 2020
Medical Communications, Sales and Marketing Cancer, Lesions, cancer treatment, tumour treatment

Researchers have used artificial intelligence to train algorithms to predict tumour sensitivity to systemic cancer therapies. Radiologists previously determined if …

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