This model was trained and tested on a 70%/30% split (train/test result cohort), achieving an area under the receiver operator curve on the test set of 0.866 (95% CI, 0.857 to 0.875). Assigning a ...
Today at the San Antonio Breast Cancer Symposium (SABCS), researchers presented the initial findings from a major multi-year collaboration between the ECOG-ACRIN Cancer Research Group (ECOG-ACRIN) and ...
Please provide your email address to receive an email when new articles are posted on . Machine learning models can predict which patients receiving lung cancer therapy may need urgent care visits.
This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...
TrialTranslator uncovers the survival gap for high-risk patients and offers a path to better cancer research. Study: Evaluating generalizability of oncology trial results to real-world patients using ...
When cancer spreads, tiny amounts of cells can break away from tumors and circulate in the bloodstream. A liquid biopsy is a means to detect the presence of cancer by detecting these cancer cells ...
AI tool developed by University of Cambridge researchers can rapidly detect and analyse cancer cells
A new AI tool developed by University of Cambridge researchers is capable of analysing complex digital images of tissue samples in just one minute and accurately detecting cancer cells, writes editor ...
CNW/ - Syantra, Inc., a biotechnology company revolutionizing cancer detection, is announcing Scottsdale, Arizona based ...
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Integrating AI into colon cancer diagnosis improves the speed and accuracy of detection
A recent study reveals that integrating Artificial Intelligence (AI) into colon cancer diagnosis over the past five years has ...
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