DeepHIT: a deep learning framework for prediction of hERG-induced cardiotoxicity
PulseAugur coverage of DeepHIT: a deep learning framework for prediction of hERG-induced cardiotoxicity — every cluster mentioning DeepHIT: a deep learning framework for prediction of hERG-induced cardiotoxicity across labs, papers, and developer communities, ranked by signal.
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New concordance loss improves deep survival prediction models
Researchers have developed a new concordance loss function, called SCL (Sigmoid Concordance Loss), for deep survival prediction models. Traditional models often use likelihood objectives that do not reliably correlate w…
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TabSurv adapts tabular neural networks for improved survival analysis
Researchers have introduced TabSurv, a novel approach that adapts modern tabular neural network architectures for survival analysis tasks. This method utilizes a new histogram loss function called SurvHL, which is desig…