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

A major focus of academia, industry, and global governmental agencies is to develop and
apply artificial intelligence and other advanced analytical tools to transform health care …

Previous studies indicate that natural and built environment factors significantly influence
health outcomes in older adults. However, most cross-sectional studies exploring the impact …

Summary Background Obstructive Sleep Apnoea (OSA) often co-occurs with
cardiometabolic and pulmonary diseases. This study is to apply genetic analysis methods to …

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality globally.
Although CVD events do not typically manifest until older adulthood, CVD develops …

Researchers aim to develop polygenic risk scores as a tool to prevent and more effectively
treat serious diseases, disorders and conditions such as breast cancer, type 2 diabetes …

Many complex diseases share common genetic determinants and are comorbid in a
population. We hypothesized that the co-occurrences of diseases and their overlapping …

Dominance heritability in complex traits has received increasing recognition. However, most
polygenic score (PGS) approaches do not incorporate non-additive effects. Here, we present …

Estimating feature importance, which is the contribution of a prediction or several predictions
due to a feature, is an essential aspect of explaining data-based models. Besides explaining …

Abstract Introduction Polygenic Risk Scores (PRSs) are summaries of genetic risk alleles for
an outcome. Methods We used summary statistics from five GWASs of AD to construct PRSs …