Researchers at Åbo Akademi University have identified a new molecular change in patients with colorectal cancer and developed ...
Transforming EHR data into image matrices enhances deep learning models' accuracy in predicting 5-year survival in colorectal cancer. The VGG16 model achieved up to 78% accuracy and high specificity, ...
Researchers at the University of California, Irvine have developed a 3D human colon model integrated with bioelectronics to aid in colorectal cancer research and drug discovery. The "3D in vivo ...
An AI workflow accurately grouped ulcerative colitis‑LGD patients by cancer risk, flagging about half as low‑risk with a ~99 % chance of staying cancer‑free for two years. The AI workflow revealed ...
Automated Classification of Breast Cancer Across the Spectrum of ERBB2 Expression Focusing on Heterogeneous Tumors With Low Human Epidermal Growth Factor Receptor 2 Expression We included patients age ...
Discussion on shared decision making with patients with later stage refractory metastatic colorectal cancer as well as maximizing a patient's quality of life. SEGMENT DESCRIPTION:Discussion on shared ...
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