In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

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

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

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...

Data from 682 end-user reviews on Info-Tech's SoftwareReviews platform was used to identify the top platforms for the 2025 Machine Learning Emotional Footprint Report. The insights published offer ...

The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...

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

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...