Researchers use Artificial Intelligence to predict drug response in lung cancer therapies- Edexlive

Researchers have used Artificial Intelligence (AI) to train algorithms and predict tumour sensitivity in three advanced non-small cell lung cancer therapies which can help predict more accurate treatment efficacy at an early stage of the disease. To develop the model, the researchers used the CT images taken at baseline and on first-treatment assessment. "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," explained Laurent Dercle, associate research scientist at the Columbia University Irving Medical Center. Radiologists currently quantify changes in tumour size and the appearance of new tumour lesions. However, this type of evaluation can be limited, especially in patients treated with immunotherapy, who can display atypical patterns of response and progression.