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

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

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 ...

Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic ...

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

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 ...

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 ...

A new machine learning tool developed at Princeton will enable researchers to sift through trillions of design options to predict which metal organic framework will be useful in laboratories or ...

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 ...