WiseCode uses AI-driven data analysis to reveal ingredient and nutrient information, helping you make more informed shopping ...
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 ...
AI in 2025 shifted from hype to economics, defined by compute, energy, infrastructure limits, enterprise adoption, and ...
In spontaneous intracerebral hemorrhage patients, features of hematoma expansion can be visualized and predicted from non-contrast computed tomography using transport-based morphometry.
Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...
From Caseload to Health System Change: Patterns and Outcomes of Pediatric ENT Emergencies in Burundi
Pediatric ENT emergencies pose unique risks because small anatomic airways can make minor pathology life-threatening in minutes. The WHO pediatric emergency care framework underscores the urgency of ...
Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October. Lew and his ...
Statistical process control (SPC) charts provide a natural approach to analysing time series data for healthcare quality improvement (QI) initiatives. A problem arising in practice is that having ...
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