Discover how artificial intelligence is transforming influenza vaccine development, accelerating timelines and improving ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

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 ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Predictive Analytics is a sophisticated forecasting system that relies on data mining, statistical modelling, and machine learning. It is an offshoot of advanced analytics that uses historical data to ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.