Precision psychiatry, also termed personalized psychiatry or precision medicine in psychiatry, epitomizes a contemporary approach to psychiatric treatment, tailoring interventions to individual patients based on their unique characteristics, including genetic makeup, neurobiological markers, and environmental influences. Departing from the one-size-fits-all approach of traditional psychiatric treatments, precision psychiatry harnesses advancements in genetics, neuroimaging, and data analytics to identify biomarkers associated with psychiatric disorders and treatment response. Genetic variations influencing medication response or adverse effects can inform clinicians in optimizing medication selection and dosages, maximizing efficacy, and minimizing side effects for each patient. Neuroimaging techniques such as fMRI and EEG offer valuable insights into brain function and connectivity, aiding in identifying neural patterns linked to specific psychiatric symptoms or treatment outcomes. Moreover, precision psychiatry emphasizes considering environmental factors like stress, trauma, and lifestyle habits in understanding psychiatric disorders and tailoring treatment plans holistically. By adopting this comprehensive approach, clinicians can address underlying contributors to mental illness and customize interventions accordingly. In essence, precision psychiatry signifies a paradigm shift in psychiatric practice, toward personalized and efficacious treatments for individuals with mental health conditions. By leveraging genetics, neurobiology, and environmental factors, clinicians can deliver targeted interventions that enhance outcomes and overall well-being for patients.
Title : Managing healthcare transformation towards personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany
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Robert B Slocum, University of Kentucky HealthCare, United States
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Thomas J Webster, Brown University, United States
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Zhenhuan Liu, Guangzhou University Chinese Medicine, China
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