Biology has always been an unruly science. Cells divide when they want to. Genes switch on and off like temperamental lights.

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

Deep learning model analyzes mammograms to predict breast cancer risk up to five years in advance, now being tested at ...

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 ...

Demand for Big Data services is increasing. Palantir, a leader in the field, should benefit. Here are the forecasts and price ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Artificial intelligence has just helped push one of the world’s most familiar metals into unfamiliar territory. By teaming ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...