Correctly distinguishing between related neurodegenerative diseases remains challenging for clinicians, because reliable markers do not yet exist for many disorders. In the July 22 Neurology, ...

In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...

As solar energy plays an increasing role in the global power supply, ensuring accurate forecasts of photovoltaic (PV) power generation is critical for balancing energy demand and supply. A new study ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

CHANGWON, South Korea — If you visit your doctor with symptoms of joint pain, swelling, and stiffness, the diagnosis could be many different things. Is it osteoarthritis or rheumatoid arthritis?

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...