colorectal cancer
PulseAugur coverage of colorectal cancer — every cluster mentioning colorectal cancer across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Deep learning model TREX predicts rectal cancer regrowth from endoscopy
Researchers have developed a deep learning model called TREX to predict rectal cancer regrowth from longitudinal endoscopy images. TREX utilizes a siamese network with Swin Transformers and dual cross-attention to analy…
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AI model accurately detects rectal tumor regrowth from endoscopy images
Researchers have developed a novel Siamese Swin Transformer with Dual Cross-Attention (SSDCA) designed to detect local regrowth of rectal tumors from endoscopic images. This model analyzes sequential images from patient…
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AI priors boost colorectal cancer MSI prediction across sites
Researchers have developed a method to improve the generalization of foundation models for predicting microsatellite instability (MSI) status in colorectal cancer from whole slide images. By incorporating biologically m…
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Alibaba AI model surpasses radiologists in early colorectal cancer detection
Alibaba has developed an AI model capable of detecting early-stage colorectal cancer from CT scans with higher accuracy than human radiologists. In clinical trials involving over 27,000 scans, the model demonstrated 86.…
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AI tool predicts which bowel cancer patients benefit from NHS drug
Researchers have developed an AI tool designed to identify patients with bowel cancer who are most likely to respond positively to a particular NHS medication. This technology aims to refine treatment decisions by lever…