hepatocellular carcinoma
PulseAugur coverage of hepatocellular carcinoma — every cluster mentioning hepatocellular carcinoma across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New AMPLIFAI dataset to boost AI for liver cancer diagnosis
Researchers have introduced AMPLIFAI, a new dataset designed to advance the development of AI models for diagnosing hepatocellular carcinoma (HCC) in liver lesions. This dataset comprises multiphase abdominal CT scans a…
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Foundation model and imaging link cancer genomes to scans
Researchers have developed a novel method that combines a foundation model called Evo~2 with clinical imaging to identify associations between genes and cancer phenotypes. This approach analyzes somatic mutations across…
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New LLM, HCC-STAR, improves cancer treatment recommendations
Researchers have developed HCC-STAR, a large language model designed to improve the precision of hepatocellular carcinoma (HCC) treatment. This model analyzes electronic medical records to provide risk stratification, e…
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AI framework aids liver cancer diagnosis from histopathology images
Researchers have developed a novel framework for diagnosing liver cancers from histopathology images using semantic segmentation. This approach, which assigns the dominant pixel-level label to determine the image-level …
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New AI Model BioFact-MoE Improves Cancer Prognosis
Researchers have developed BioFact-MoE, a novel Mixture of Experts (MoE) framework designed to improve prognostic modeling for hepatocellular carcinoma (HCC). This model explicitly separates liver and tumor factors, lea…
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AI model synthesizes liver MRI hepatobiliary phase images for better HCC detection
Researchers have developed a new deep learning model called the Triple-Phase Sequential Fusion Network (TriPF-Net) to synthesize hepatobiliary phase (HBP) liver MRI images. This network leverages sequential information …