In human neuroscience, machine learning can help reveal lower-dimensional neural representations relevant to subjects' behavior. However, state-of-the-art models typically require large datasets to train, and so are prone to overfitting on human neuroimaging data that often possess few samples but many input dimensions. Here, we capitalized on the fact that the features we seek in human neuroscience are precisely those relevant to subjects' behavior rather than noise or other irrelevant factors.
View Article and Find Full Text PDFSquamous cell carcinoma (SCC) of the stomach is a rare entity with fewer than 100 cases of primary SCC reported in the literature, while esophageal SCC is prevalent and more common. However, a synchronous squamous cell carcinoma found in the esophagus and stomach remains very uncommon. We present the case of a 64-year-old with a history of dysphagia who had an endoscopy that showed an impassable stenosis of the middle esophagus, with histopathology in favor of an esophagus squamous cell carcinoma.
View Article and Find Full Text PDFAddressing drug-induced liver injury is crucial in drug development, often causing Phase III trial failures and market withdrawals. Traditional animal models fail to predict human liver toxicity accurately. Virtual twins of human organs present a promising solution.
View Article and Find Full Text PDFIntroduction: BCoV is one of the significant causes of enteritis in young calves; it may also be responsible for many respiratory outbreaks in young calves. BCoV participates in the development of bovine respiratory disease complex in association with other bacterial pathogens. Our study aimed (1) to map the immunogenic epitopes (B and T cells) within the major BCoV structural proteins.
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