Abstract Background and Aims The role of gender in decision-making for oral
anticoagulation in patients with atrial fibrillation (AF) remains controversial. Methods The …

Predicting an individual's risk of primary stroke is an important tool that can help to lower the
burden of stroke for both the individual and society. There are a number of risk models and …

The purpose of this study is to investigate the relationship between chronic pain and the
mortality rate of cerebrovascular disease (CVD) in cancer patients. Thus, we performed a …

While age is an important risk factor, there are some disadvantages to including it in a stroke
risk model: age can dominate the risk score and lead to over-or under-predictions in some …

Alzheimer's disease (AD) and ischemic stroke (IS) are common neurological disorders, and
the comorbidity of these two brain diseases is often seen. Although AD and IS were …

One of the more interesting ideas for achieving personalized, preventive, and participatory
medicine is the concept of a digital twin. A digital twin is a personalized computer model of a …

We develop a deep learning model, ABioSPATH, to predict the one-year risk of ischemic
stroke (IS) in atrial fibrillation (AF) patients. The model integrates drug-protein-disease …

Stroke is one of the leading causes of death and disability worldwide but it is believed to be
highly preventable. The majority of stroke prevention focuses on targeting high-risk …

Chapter 2 Implementing value-based healthcare principles in the full cycle of care: the
pragmatic evolution of the Netherlands Heart Network Chapter 3 Introducing a method for …