A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

This layered approach reflects common best practices in embedded AI, where deterministic safeguards complement probabilistic ...

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 ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

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 ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

(NASDAQ: NXXT ), a pioneer in AI-driven energy innovation transforming how energy is produced, managed, and delivered, today ...