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 ...

New York, NY [September 4, 2025]—A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train ...

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

We were unable to process your request. Please try again later. If you continue to have this issue please contact [email protected]. The AI-based algorithm analyzed movements during REM ...

Accurate estimation of the State of Charge (SoC) in lithium-ion batteries is a pivotal factor for optimizing the performance, safety, and longevity of electric vehicles (EVs). Traditional methods ...

While artificial intelligence (AI)-powered screening has been validated for diabetic retinopathy, applying the technology to glaucoma has proved more challenging because glaucoma is not one disease. A ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...