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.

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

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

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...

Data quality and interoperability become critical enablers. Agentic systems rely on timely, accurate information from across ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to ...

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...