According to MarketsandMarkets™, the global Endpoint Protection Platform Market size is projected to grow from USD 17.4 billion in 2024 to USD 29.0 billion by 2029 at a Compound Annual Growth Rate ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Postdoctoral researcher Johann Vargas Calixto uses machine learning and ultrasound technology to develop low-cost, accessible ...
The global mental health software market is experiencing sustained expansion; valued at $4.8 billion in 2023, the market is projected to grow to $14.6 billion by 2033, reflecting a steady CAGR of 11.7 ...
Major research paper underpins the calls of leading cardiac charity, which first pioneered & funded an internationally acclaimed screening programme 30 years ago New study publicly calls into ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
AI in oncology nursing remains in its early stages, but it’s already reshaping health care. This moment was evident at the 2025 American Society of Hematology Annual Meeting and Exposition, which ...
The latest in wearable sensors features 'skin-like' electronics, enabling comfortable, continuous health monitoring with advanced materials and AI integration.
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Physical function metrics improve mortality prediction in elderly heart failure patients
Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...
Applying the notion of reasonable foreseeability to multi-use AI systems. AI systems are finding uses far from their original intended purposes. These multiple uses raise hard ethical questions for AI ...
AI’s greatest economic impact will come not from automating tasks but from dramatically lowering the “translation” costs that keep teams, tools, and data from working together. By extracting structure ...
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