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 last week’s issue of The Cancer Letter, the cover story featured something special: The first de novo book published by The Cancer History Project. The book, “Backwater to Blockbuster: St. Jude Children’s Research Hospital,” co-written by Charles J. Sherr and William E. Evans, chronicles the previously untold story of St. Jude Children’s Research Hospital and its rise to becoming a global leader in pediatric cancer research.
