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

The problem comes down to how these tools learn. New study reveals unexpected results after using AI tools to predict extreme ...

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

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

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

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

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 ...

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 ...

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