Background The growing population of patients with adult congenital heart disease (ACHD) present complex lifelong care needs ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
The "In Silico Clinical Trials Market - Global Forecast 2025-2032" report has been added to ResearchAndMarkets.com's offering. The in silico clinical trials market is undergoing rapid transformation, ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
As organizations modernize industrial systems, high-integrity functional safety strategies are now critical for reducing risk and ensuring compliance. This report delivers actionable insight into the ...
Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...
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