Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...
The landscape for video training data and multimodal foundation models in 2026 is defined by a shift from quantity to highly ...
Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...
Multiomics analysis sheds new light on the role of NETs in alcohol-induced epilepsy Epilepsy is a highly prevalent chronic ...
Abstract: The demand for electricity has been rapidly increasing nowadays. So, it is necessary to distribute power to consumers efficiently. Smart grids (SG) can reduce the losses in the distribution ...
Abstract: This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine ...
The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...
Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...
The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of ...
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