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 ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

XRP sentiment hits extreme negativity with Fear & Greed at 24. Research shows sentiment extremes predict reversals with 70-91 ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

Many everyday chemicals can damage beneficial gut bacteria and potentially fuel antibiotic resistance, prompting calls to ...