Atrial fibrillation is one of the most common kinds of arrhythmia, causing the heart not to contract properly in order to ...

Neurodegenerative disorders are defined by progressive neuronal dysfunction and death, in which oxidative stress is recognized as a central contributor to ...

This Collection is focused on hybrid biological models, bioinformatics, and epidemiological models. It maximizes reader understanding of control, optimization, and applications of complex biological ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

The model is based on a 3D reconstruction of the heart of each patient, resorting to a computerized tomography (scan) of the left atrium, and can help to medical professionals who perform this ...

Theory and understanding underpin a great deal of experimentation and engineering. Working together experimentalists can be guided by theoretical predictions and theoreticians can refine their models ...

This work reviews CM-cfDNA methods applied to clinical oncology, emphasizing both machine learning (ML) techniques and mechanistic approaches. The latter integrate biological principles, enabling a ...

Researchers have discovered a new way to drive chemical reactions that could generate a wide variety of azetidines -- four-membered nitrogen heterocycles that have desirable pharmaceutical properties.

Large language models (LLMs), the computational models underpinning the functioning of ChatGPT, Gemini and other widely used ...