Researchers have developed a new computational approach that uncovers possible drugs for specific cellular targets for ...
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
Implementing a predictive digital therapeutics model that delivers both treatment and prevention.” SEOCHO-GU, SEOUL, SOUTH KOREA, December 31, 2025 /EINPresswire.com/ — Inthetech (CEO Seung Ho Choun) ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
Abstract: Due to the extensive computational burden of enumeration algorithm employed in finite control set model predictive control (FCS-MPC) for multilevel converters, this article proposes a ...
Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
Dr. Bin Tang, Founder & CEO of Noah Digital, is an internationally recognized AI & digital marketing leader & author of “Local to Global.” For years, digital marketing has been synonymous with ...
ABSTRACT: Attrition is a common challenge in statistical analysis for longitudinal or multi-stage cross-sectional studies. While strategies to reduce attrition should ideally be implemented during the ...
ABSTRACT: Objective: To develop and validate a machine learning-based risk prediction model for postoperative nausea and vomiting (PONV) following gynecological day hysteroscopy, providing ...
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