The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI)
models is likely to usher in newfound capabilities in medicine. We propose a new paradigm …

In healthcare, the development and deployment of insufficiently fair systems of artificial
intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models …

The influence of comorbidities on COVID-19 outcomes has been recognized since the
earliest days of the pandemic. But establishing causality and determining underlying …

Identification of individuals at highest risk of coronary artery disease (CAD)—ideally before
onset—remains an important public health need. Prior studies have developed genome …

Background Evidence from observational studies and clinical trials suggests that the gut
microbiota is associated with cancer. However, the causal association between gut …

Magnetic resonance imaging (MRI) has transformed our understanding of the human brain
through well-replicated map** of abilities to specific structures (for example, lesion …

Blood lipids and metabolites are markers of current health and future disease risk. Here, we
describe plasma nuclear magnetic resonance (NMR) biomarker data for 118,461 …

Biological aging of human organ systems reflects the interplay of age, chronic disease,
lifestyle and genetic risk. Using longitudinal brain imaging and physiological phenotypes …

Risk stratification is critical for the early identification of high-risk individuals and disease
prevention. Here we explored the potential of nuclear magnetic resonance (NMR) …

White adipose tissue, once regarded as morphologically and functionally bland, is now
recognized to be dynamic, plastic and heterogenous, and is involved in a wide array of …