Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
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Machine learning models identify early metabolic shifts
Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to neurodegenerative disorders such as Alzheimer's and Parkinson's disease. A new study ...
Researchers at Tsinghua University have created a rapid, label-free method using polarized light detection to identify and ...
Overactive immune response disrupts brain function before neuronal damage occurs. Tracking urea levels and nerve cell markers ...
As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...
Red blood cells are essential for oxygen transport and immune function in the human body. When these cells become abnormally shaped, they can indicate serious health conditions, including diabetes, ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
You will be redirected to our submission process. Tropical forests are the most biodiverse ecosystems on Earth and play a critical role in climate regulation, carbon storage, and the maintenance of ...
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