There has been an increasing interest in translating artificial intelligence (AI) research into
clinically-validated applications to improve the performance, capacity, and efficacy of …

Introduction: Precision medicine is the concept of treating diseases based on environmental
factors, lifestyles, and molecular profiles of patients. This approach has been found to …

With the growth of data and intelligent technologies, the healthcare sector opened numerous
technology that enabled services for patients, clinicians, and researchers. One major hurdle …

Nanomedicine is a field of medicine that uses nanotechnology to develop new diagnostic
tools and therapies for a wide range of medical conditions. It encompasses a variety of …

Meta-analysis has been established as an effective approach to combining summary
statistics of several genome-wide association studies (GWAS). However, the accuracy of …

The field of medicine is witnessing an exponential growth of interest in artificial intelligence
(AI), which enables new research questions and the analysis of larger and new types of …

Deep Learning (DL) has already shown tremendous potential in designing intelligent clinical
support systems in biomedicine. Data privacy plays a significant role while training and …

Aggregating transcriptomics data across hospitals can increase sensitivity and robustness of
differential expression analyses, yielding deeper clinical insights. As data exchange is often …

Data Privacy has increasingly become a matter of concern in the era of large public digital
respositories of data. This is particularly true in healthcare where data can be misused if …

The expanding application of Artificial Intelligence (AI) in scientific fields presents
unprecedented opportunities for discovery and innovation. However, this growth is not …