A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

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

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

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 ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

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

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 ...

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