Artificial Intelligence (AI) describes computer systems able to perform tasks that normally
require human intelligence, such as visual perception, speech recognition, decision-making …

Introduction Diseases related to chronic persisting inflammation are amongst the largest
sources of morbidity and health costs, yet biomarkers for early diagnosis, prognosis, and …

The problem of executing machine learning algorithms over data while complying with data
privacy is highly relevant in many application areas, including medicine in general and …

The contribution of Laboratory Medicine to the global patient healthcare procedure is
significant. Currently 70–80% of clinical decisions are based on laboratory data, as …

Background In the big data era, the healthcare sector grapples with increased data volumes
and the push for more intelligent medical devices. This challenge is marked by data silos …

Introduction This paper addresses the dilemmas of accessibility, comprehensiveness, and
ownership related to health data. To resolve these dilemmas, we propose and justify a …

“SMART and GREEN LABORATORIES. How to implement IVDR, emerging technologies
and sustainable practices in medical laboratories?” that was held from 25th to 27th May …

Artificial intelligence (AI), the simulation of human intelligence processes by machines, is
having a growing impact on healthcare [1]. As healthcare all around the globe is suffering …

Backgrounds With the advent of the big data era, hospital information systems and mobile
care systems, among others, generate massive amounts of medical data. Data mining, as a …

Machine learning has emerged as a powerful tool for scientific discovery, enabling
researchers to extract meaningful insights from complex datasets. For instance, it has …