A research team led by investigators from the NIH and Global Good has developed a computer algorithm that can analyze digital images of a woman’s cervix and accurately identify precancerous changes that require medical attention. This artificial intelligence approach, called automated visual evaluation, has the potential to revolutionize cervical cancer screening, particularly in low-resource settings.
In this episode of The Cancer Letter Podcast, Paul Goldberg, editor and publisher of The Cancer Letter, Jacquelyn Cobb, managing editor, discuss the Sept. 23 meeting of the FDA Molecular and Clinical Genetics Panel of the Medical Devices Advisory Committee, during which the panel voted in favor of Galleri, the multi-cancer detection test from GRAIL Inc., to become the first multi-cancer detection test to receive regulatory approval.
