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New Harvard-Developed AI Predicts Future Pancreatic Cancer Up to Three Years Before Diagnosis

The AI model can identify individuals with the highest risk of pancreatic cancer up to three years prior to their formal diagnosis. A new study, led by researchers from Harvard Medical School, the University of Copenhagen, VA Boston Healthcare System, Dana-Farber Cancer Institute, and the Harvard T ....

United States , Dana Farber Cancer Institute , Novo Nordisk , Siamack Ayandeh , Eli Lilly , Chunlei Zheng , Elizabeth Andrews , Michaelh Rosenthal , Alexandra Franz , Gregory Antell , Jessicax Hjaltelin , Davide Placido , Peter Kraft , Aviv Regev , Alexander Chowdhury , Renato Umeton , Maryt Brophy , Chris Sander , Nathanaelr Fillmore , Brianm Wolpin , Jihye Kim , Chen Yuan , Intomicsas Wolpin , Lauren Brais , Jura Bio , Piotrj Chmura ,

AI predicts future pancreatic cancer

An AI tool identified people at the highest risk for pancreatic cancer up to three years before actual diagnosis.
The findings point to the promise of AI for mass screening to help expedite the diagnosis of an aggressive disease often identified with serious delays.
Pancreatic cancer is one of the deadliest cancers in the world and its toll is projected to increase. ....

United States , Dana Farber Cancer Institute , Elizabeth Andrews , Michael Rosenthal , Aviv Regev , Renato Umeton , Alexander Chowdhury , Novo Nordisk , Chunlei Zheng , Jihye Kim , Piotr Chmura , Brian Wolpin , Nathanael Fillmore , Lauren Brais , Alexandra Franz , Jessica Hjaltelin , Mary Brophy , Davide Placido , Intomicsas Wolpin , Chris Sander , Peter Kraft , Gregory Antell , Jura Bio , Siamack Ayandeh , Eli Lilly , Chen Yuan ,