Recent artificial intelligence (AI) advancements in cardiovascular care offer potential
enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on …

Although high-dimensional clinical data (HDCD) are increasingly available in biobank-scale
datasets, their use for genetic discovery remains challenging. Here we introduce an …

Sudden cardiac death (SCD) remains a pressing health issue, affecting hundreds of
thousands each year globally. The heterogeneity among SCD victims, ranging from …

Artificial intelligence (AI)-based approaches can now use electrocardiograms (ECGs) to
provide expert-level performance in detecting heart abnormalities and diagnosing disease …

The efficacy of an implantable cardioverter-defibrillator (ICD) in patients with a non-
ischaemic cardiomyopathy for primary prevention of sudden cardiac death is increasingly …

Cancer is a complex disease composing systemic alterations in multiple scales. In this study,
we develop the Tumor Multi-Omics pre-trained Network (TMO-Net) that integrates multi …

Artificial intelligence models have been increasingly used in the analysis of tumor histology
to perform tasks ranging from routine classification to identification of molecular features …

Digital twins, which are in silico replications of an individual and its environment, have
advanced clinical decision-making and prognostication in cardiovascular medicine. The …

Advances in artificial intelligence (AI) and machine learning systems promise faster, more
efficient, and more personalized care. While many of these models are built on the premise …

Modern brain-computer interfaces and neural implants allow interaction between the tissue,
the user and the environment, where people suffer from neurodegenerative diseases or …