Sepsis involves the dynamic interplay between a pathogen, the host response, the failure of
organ systems, medical interventions and a myriad of other factors. This together results in a …

Background Artificial intelligence is fueling a new revolution in medicine and in the
healthcare sector. Despite the growing evidence on the benefits of artificial intelligence there …

Machine learning (ML) approaches are a collection of algorithms that attempt to extract
patterns from data and to associate such patterns with discrete classes of samples in the …

Abstract The role of Artificial Intelligence and Machine Learning in cancer research offers
several advantages, primarily scaling up the information processing and increasing the …

Technological innovations, such as artificial intelligence (AI) and machine learning (ML),
have the potential to expedite the goal of precision medicine, especially when combined …

There has been a great deal of interest in the concept, development and implementation of
medical digital twins. This interest has led to wide ranging perceptions of what constitutes a …

The 2019 novel coronavirus, SARS-CoV-2, is a pathogen of critical significance to
international public health. Knowledge of the interplay between molecular-scale virus …

Techniques to provide in vitro tissue culture have undergone significant changes during the
last decades, and current applications involve interactions of cells and organoids, three …

As populations worldwide show increasing levels of stress, understanding emerging links
among stress, inflammation, cognition, and behavior is vital to human and planetary health …

Agent-based modeling (ABM) is a well-established computational paradigm for simulating
complex systems in terms of the interactions between individual entities that comprise the …