New AI tool predicts colon cancer survival, t

New AI tool accurately predicts both overall survival and disease-free survival after colorectal cancer diagnosis.                                                                

The model uses visual markers on pathology images to glean insights into a tumor’s genomic profile and predicts tumor behavior, disease progression, treatment response.

The new model could help augment clinical decision-making.

Because the AI tool relies on images alone, it could be particularly valuable for hospitals lacking the technology or expertise to perform sophisticated genomic profiling of tumor tissues.

Related Keywords

Taiwan ,Harvard University ,Massachusetts ,United States ,National Cheng Kung University ,Tainan Municipality ,Dana Farber Cancer Institute ,Finland ,Marios Giannakis ,Tsung Lu Michael Lee ,Mai Chan Lau ,Tomotaka Ugai ,Andrew Chan ,Jeffrey Meyerhardt ,Tsung Hua Lee ,Pei Chen Tsai ,Kana Wu ,Melissa Zhao ,Seyed Mousavi Kahaki ,Eliana Marostica ,Kun Chi Kuo ,Shuji Ogino ,Kun Hsing Yu ,Jonathan Nowak ,Yasutoshi Takashima ,Fang Yi Su ,Blavatnik Center ,Nurse Health Study ,Cancer Genome Atlas Program ,Blavatnik Institute ,Grant Program ,Harvard Medical School ,Microsoft Azure For Research Award ,Method Of Research ,National Institute ,Oulu University Hospital ,Google Research Scholar Award ,Health Professionals Study ,University Of Science ,Pittsburgh Supercomputing Center ,Nature Communications ,Vertex Pharmaceuticals ,Multi Omics Cohort ,Health Professionals Follow Up Study ,Cancer Screening ,Mingyang Song ,Public Health ,Massachusetts General Hospital ,Southern Taiwan ,General Medical ,Computational Biomedicine ,Microsoft Azure ,Research Award ,Extreme Science ,Engineering Discovery Environment ,