colorectal cancer
PulseAugur coverage of colorectal cancer — every cluster mentioning colorectal cancer across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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AI model predicts colorectal cancer survival from histology images
Researchers have developed a graph neural network called INSIGHT that can predict patient survival rates directly from routine histology images of colorectal cancer. This model, trained on TCGA and SURGEN datasets, demo…
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AI framework Octopus autonomously discovers cancer vulnerabilities
Researchers have developed a novel neuro-symbolic architecture called Octopus, designed to bridge the gap between large language models and biological systems for automated scientific discovery. This framework integrate…
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New dataset CRC-HGD released for AI-driven colorectal cancer grading
Researchers have introduced CRC-HGD, a new dataset containing 1,914 histopathological images for grading colorectal cancer. The dataset, sourced from 214 patients diagnosed between 2014 and 2019, includes images at four…
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New dataset released for grading colorectal cancer using AI
Researchers have introduced CRC-HGD, a new dataset of histopathological images specifically designed for grading colorectal cancer. The dataset comprises 1,914 images from 214 patients, categorized into three differenti…
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AI project aims to improve bowel cancer screening
An artificial intelligence project is being developed to aid in the screening process for bowel cancer. This AI-driven approach aims to improve the detection of the disease, potentially leading to earlier diagnoses and …
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AI identifies new cancer target for CAR T-cell therapy
Researchers at Penn Medicine have developed an AI pipeline that identified GPNMB, a protein target for CAR T-cell therapy, across multiple cancer types. The system analyzed over 10,000 potential targets and conducted 1,…
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Gene targeted to remove colon cancer's 'invisibility cloak' in mice
Researchers have identified a method to eliminate colon cancer tumors by targeting a specific gene, effectively removing the cancer's "invisibility cloak." This breakthrough, demonstrated in mouse models, resulted in a …
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Neuro-Symbolic Framework Enhances Colorectal Cancer Drug Response Insights
Researchers have developed a novel neuro-symbolic framework called the Contextual Invertible World Model (CIWM) to address limitations in precision oncology. This framework integrates a machine learning emulator with a …
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Guardant Health's Shield blood test aids early cancer detection
A blood-based colorectal cancer screening test called Shield, developed by Guardant Health, has shown promise in detecting cancer in individuals who may not undergo traditional colonoscopies. The test analyzes DNA fragm…
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New VLM Framework Enhances Clinical Cancer Referral Processing
Researchers have developed RAPTOR+, a multimodal framework utilizing Vision-Language Models (VLMs) to enhance the processing of clinical cancer referrals. This system aims to improve trust and auditability by directly l…
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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…