hepatocellular carcinoma
PulseAugur coverage of hepatocellular carcinoma — every cluster mentioning hepatocellular carcinoma across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Roche Diagnostics to host healthcare innovation summit in Hong Kong
Roche Diagnostics Asia Pacific is hosting the Roche Experience Days 2026 event in Hong Kong this October, focusing on healthcare innovation. The conference will explore AI-driven advancements, proactive care strategies …
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AI models identify biomarkers for liver cancer prediction · 2 sources tracked
Researchers have developed new methods using artificial intelligence to predict and identify biomarkers for hepatocellular carcinoma (HCC), a common form of liver cancer. One study constructed a dataset of 770 patient s…
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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 …