The field of psychiatry is hampered by a lack of robust, reliable and valid biomarkers that can
aid in objectively diagnosing patients and providing individualized treatment …

The factor that is most relevant and strongly associated with the clinical course of multiple
sclerosis is chronological age. Very young patients exclusively have relapsing remitting …

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

Importance Physical health and chronic medical comorbidities are underestimated,
inadequately treated, and often overlooked in psychiatry. A multiorgan, systemwide …

The difference between age predicted using anatomical brain scans and chronological age,
ie, the brain-age delta, provides a proxy for atypical aging. Various data representations and …

Schizophrenia (SZ) is associated with an increased risk of life-long cognitive impairments,
age-related chronic disease, and premature mortality. We investigated evidence for …

Brain aging is a complex, multifaceted process that can be challenging to model in ways that
are accurate and clinically useful. One of the most common approaches has been to apply …

Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders in the
world. Although there is no known cure for it at the present, preventive drug trials and …

Abstract Machine learning has been increasingly applied to neuroimaging data to predict
age, deriving a personalized biomarker with potential clinical applications. The scientific and …

The temporal characteristics of adolescent neurodevelopment are shaped by a complex
interplay of genetic, biological, and environmental factors. Using a large longitudinal dataset …