A machine learning model equipped with only data on people's age, smoking duration and the number of cigarettes smoked per day can predict lung cancer risk and identify who needs lung cancer screening, according to a new study publishing October 3 rd in the open access journal PLOS Medicine by Thomas Callender of University College London, UK, and colleagues. Lung cancer is the most common cause of cancer death worldwide, with poor survival in the absence of early detection. Screening for lung cancer among those at highest risk could reduce lung cancer deaths by nearly a quarter, but the ideal way to determine the high-risk population has been unclear.

https://www.miragenews.com/model-forecasts-lung-cancer-screening-necessity-1096534/

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