Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

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 ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

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 ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

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