Inflammation is an essential physiological defence mechanism, but prolonged or excessive
inflammation can cause disease. Indeed, unresolved systemic and adipose tissue …

Cardiovascular diseases (CVDs) are complex, multifactorial conditions that require
personalized assessment and treatment. Advancements in multi-omics technologies …

Because cardiovascular disease (CVD) is still one of the world's leading causes of death,
sophisticated predictive models are required for early detection and prevention. This study …

In this article, we present IntelliGenes, a novel machine learning (ML) pipeline for the multi-
genomics exploration to discover biomarkers significant in disease prediction with high …

Precision medicine is envisioned as the future of cardiovascular healthcare, offering a more
tailored and effective method for managing cardiovascular diseases compared to the …

Coronary artery disease (CAD), acute coronary syndrome (ACS), and heart failure (HF) are
major global health issues with high morbidity and mortality rates. Biomarkers like cardiac …

Role of genome-wide association studies, polygenic risk score and AI/ML using big
data for personalized treatme Page 1 Commentary Role of genome-wide association studies …

One of the numerous possible advantages of integrating Artificial Intelligence (AI) with Robot-
Assisted Surgery (RAS) in the operating theatre is improved surgical accuracy and patient …

Heart failure remains a major global health challenge, contributing significantly to the 17.8
million annual deaths from cardiovascular disease, highlighting the need for improved …

In the ever-changing landscape of modern medicine, we face an important moment where
the interplay of disease, drugs, and patients defines a new paradigm. The trajectory is …