gastric adenocarcinoma
PulseAugur coverage of gastric adenocarcinoma — every cluster mentioning gastric adenocarcinoma across labs, papers, and developer communities, ranked by signal.
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New method improves gastric cancer classification using multimodal knowledge distillation
Researchers have developed a new multimodal knowledge distillation framework to improve the classification of gastric adenocarcinoma from whole-slide images. This method efficiently combines image and text data using Lo…
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AI framework predicts cancer immunotherapy response from standard pathology slides
Researchers have developed a novel Cross-modal Contrastive Multiple Instance Learning (CCMIL) framework designed to predict immunotherapy response in gastric adenocarcinoma patients. This framework imputes molecular sig…
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New AI method approximates RNA signatures from tissue slides
Researchers have developed VITA (VIrtual Transcriptomic Approximation), a novel deep learning approach that approximates RNA signatures from standard H&E stained tissue slides. This method aims to provide a cost-effecti…