Machine learning (ML) algorithms are increasingly applied in medical research and in
healthcare, gradually improving clinical practice. Among various applications of these novel …

Hospital-acquired infections, particularly in the critical care setting, have become increasingly
common during the last decade, with Gram-negative bacterial infections presenting the …

Objectives In the era of increasing antimicrobial resistance, the need for early identification
and prompt treatment of multi-drug-resistant infections is crucial for achieving favorable …

Laboratory classes are essential in Biology, Biotechnology and Chemistry, as they help
learners acquire skills and understand physical phenomena in depth. To run hands-on …

Coronavirus disease (COVID-19) constitutes an ongoing global health problem with significant
morbidity and mortality. It usually presents characteristic findings on a chest CT scan, …

On a daily basis, a large amount of data is gathered through the participation of students in e-learning
environments. This wealth of data is an invaluable asset to researchers as they …

Students that enroll in the undergraduate program on informatics at the Hellenic Open
University (HOU) demonstrate significant difficulty in advancing beyond the introductory course. …

Purpose Artificial intelligence is part of our daily life and machine learning techniques offer
possibilities unknown until now in medicine. This study aims to offer an evaluation of the …

Hospital-acquired infections, particularly in ICU, are becoming more frequent in recent years,
with the most serious of them being Gram-negative bacterial infections. Among them, …

Multi-drug-resistant (MDR) infections and their devastating consequences constitute a global
problem and a constant threat to public health with immense costs for their treatment. Early …