In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, addressing mammography's limitations in dense breast tissue. The test achieved 92.3 ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

Study finds fatty diets reprogram liver cells, raising cancer risk Every meal you eat could be quietly shaping your liver’s ...

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

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...