Background Binary diagnosis of coronary artery disease does not preserve the complexity of
disease or quantify its severity or its associated risk with death; hence, a quantitative marker …

Recent years have witnessed significant transformations in cardiovascular medicine, driven
by the rapid evolution of artificial intelligence (AI). This scoping review was conducted to …

Abstract Purpose of Review We review the limitations of current approaches for predicting
Coronary Artery Disease (CAD) in young adults and explore the alternative approaches …

Coronary artery disease (CAD) exists on a spectrum of disease represented by a
combination of risk factors and pathogenic processes. An in silico score for CAD built using …

Background Melanoma is among the most malignant immunologic tumor types and is
associated with high mortality. However, a considerable number of melanoma patients …

On Nov 20, 2022, we celebrate World Children's Day and the theme this year is inclusion, for
every child. However, children with disabilities have received little attention from global …

Abstract Purpose of Review Coronary artery disease (CAD) is a common and etiologically
complex disease worldwide. Current guidelines for primary prevention, or the prevention of …

2 Agrawal S, Klarqvist MDR, Emdin C, et al. Selection of 51 predictors from 13 782
candidate multimodal features using machine learning improves coronary artery disease …

Over the past decade, massive, biologically rich datasets—and machine learning methods
that can interrogate them—have allowed for the development of predictive cardiovascular …

An edited volume that looks at the state of psychiatric genetics and how to chart a path
forward. In this edited collection, experts from psychiatric and statistical genetics …