Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

Abstract: The class imbalance issue has been a persistent problem in machine learning that hinders the accurate predictive analysis of data in many real-world applications. The class imbalance problem ...

A washable, stretchable fabric sensor embedded directly into clothing can recognize yoga postures with 94.4% accuracy, ...

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...

Abstract: Malware has emerged as a cyber security threat that continuously changes to target computer systems, smart devices, and extensive networks with the development of information technologies.

The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...

BP sponsored an elite Princeton research center to address the climate problem without getting off fossil fuels. Its key work, a paper known as “Wedges,” guided climate discourse for a generation. In ...

The primary endpoint was 3-month mortality due to all causes. Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random ...

Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...