Abstract Machine learning is frequently being leveraged to tackle problems in the health
sector including utilization for clinical decision-support. Its use has historically been focused 

Health is usually defined as the absence of pathology. Here, we endeavor to define health
as a compendium of organizational and dynamic features that maintain physiology. The 

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) 

Aging is a complex process associated with nearly all diseases. Understanding the
molecular changes underlying aging and identifying therapeutic targets for aging-related 

The field of microbiome research has evolved rapidly over the past few decades and has
become a topic of great scientific and public interest. As a result of this rapid growth in 

The world has witnessed a steady rise in both non-infectious and infectious chronic
diseases, prompting a cross-disciplinary approach to understand and treating disease 

Although intermittent increases in inflammation are critical for survival during physical injury
and infection, recent research has revealed that certain social, environmental and lifestyle 

The link between the gut microbiota and type 2 diabetes (T2D) warrants further investigation
because of known confounding effects from antidiabetic treatment. Here, we profiled the gut 

Abstract The NIH Human Microbiome Project (HMP) has been carried out over ten years and
two phases to provide resources, methods, and discoveries that link interactions between 

Neurological and psychiatric diseases have high degrees of genetic and pathophysiological
heterogeneity, irrespective of clinical manifestations. Traditional medical paradigms have