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Endoscopy-based deep learning algorithms demonstrate higher sensitivity and specificity than endoscopists overall in detecting early esophageal squamous cell carcinoma.

A new platform developed by researchers at the University of Texas MD Anderson Cancer Center quickly finds and isolates rare, ...

A machine learning program that identified patients overdue for colorectal cancer screening helped increase screening rates ...

Researchers are calling for the application of locally driven strategies, supported by stronger regional evidence, to improve early cancer detection and precise care.

Researchers at Mayo Clinic have developed an artificial intelligence (AI) system that could transform how pancreatic cancer ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

OpenAI is set to launch GPT-5.6 after a US security review, raising new questions for enterprise AI access, safeguards, and governance. If you can only read one tech story a day, this is it. We use ...

Introduction Breast cancer is the most common form of cancer in women. A considerable number of women with breast cancer who have been treated with chemotherapy subsequently develop neurological ...

Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States Department of Laboratory Medicine, Southwest Hospital, Third Military ...

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A metadata commons to store research software metadata - arash77/research-software-ecosystem-content ...