The pandemic acted as a turning point, as the support measures, the rapid rebound of economic activity, and the return of banks to strong profitability accelerated the absorption of deferred tax ...

Aims The obesity paradox has been described in different cardiovascular conditions. Data on the association between obesity and outcomes in patients with Takotsubo syndrome (TTS) are lacking. The aim ...

Background/Aims On 17 September 2024, over 3000 pager devices containing explosives were remotely detonated across Lebanon in ...

This project demonstrates medical time series analysis using deep learning for heart rate prediction. It provides a comprehensive framework for: medical-time-series-analysis/ ├── src/ # Source code │ ...

Methods: This retrospective longitudinal time-series study used a big data-driven interpretable machine learning approach to analyze global multifaceted data across 38 countries from pandemic onset ...

20 Superstars, two matches, one word... WarGames! The annual Survivor Series Premium Live Event returns on Saturday, November 29, when WWE takes over Petco Park and transforms the home of Major League ...

Abstract: Traditional machine learning approaches for biomedical time series analysis face fundamental limitations when integrating the heterogeneous data types essential for comprehensive clinical ...

A significant development is set to transform AI in healthcare. Researchers at Stanford University, in collaboration with ETH Zurich and tech leaders including Google Research and Amazon, have ...

The 2024 British Thoracic Society/ National Institute for Health and Care Excellence/ Scottish Intercollegiate Guidelines Network asthma guidelines recommend anti-inflammatory reliever (AIR)-based ...

1 Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China 2 Fuzhou Center for Disease Control and Prevention, Fuzhou, China Objective: The aim of this ...