Precision medicine in complex diseases—Molecular subgrouping for improved prediction and treatment stratification
Complex diseases are caused by a combination of genetic, lifestyle, and environmental
factors and comprise common noncommunicable diseases, including allergies …
factors and comprise common noncommunicable diseases, including allergies …
Precision psychiatry applications with pharmacogenomics: artificial intelligence and machine learning approaches
A growing body of evidence now suggests that precision psychiatry, an interdisciplinary field
of psychiatry, precision medicine, and pharmacogenomics, serves as an indispensable …
of psychiatry, precision medicine, and pharmacogenomics, serves as an indispensable …
The promise of machine learning in predicting treatment outcomes in psychiatry
For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …
medications or psychotherapies, in order to personalize their treatment choices. There is …
Challenges and future prospects of precision medicine in psychiatry
M Manchia, C Pisanu, A Squassina… - Pharmacogenomics …, 2020 - Taylor & Francis
Precision medicine is increasingly recognized as a promising approach to improve disease
treatment, taking into consideration the individual clinical and biological characteristics …
treatment, taking into consideration the individual clinical and biological characteristics …
Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients
Lithium is the gold standard therapy for Bipolar Disorder (BD) but its effectiveness differs
widely between individuals. The molecular mechanisms underlying treatment response …
widely between individuals. The molecular mechanisms underlying treatment response …
Depression preceding diagnosis of bipolar disorder
C O'Donovan, M Alda - Frontiers in psychiatry, 2020 - frontiersin.org
This paper focuses on depression that precedes an onset of manifest bipolar disorder as
early stage bipolar disorder. First, we review how to pragmatically identify the clinical …
early stage bipolar disorder. First, we review how to pragmatically identify the clinical …
DSM-5 and ICD-11 criteria for bipolar disorder: Implications for the prevalence of bipolar disorder and validity of the diagnosis–A narrative review from the ECNP …
This narrative review summarizes and discusses the implications of the Diagnostic and
Statistical Manual of Mental Disorders (DSM)-5 and the upcoming International …
Statistical Manual of Mental Disorders (DSM)-5 and the upcoming International …
Lithium response in bipolar disorder: Genetics, genomics, and beyond
S Papiol, TG Schulze, U Heilbronner - Neuroscience letters, 2022 - Elsevier
Lithium is an effective mood stabilizer in bipolar disorder (BD). There is, however, high
variability in treatment response to lithium and only 20–30% of individuals with BD are …
variability in treatment response to lithium and only 20–30% of individuals with BD are …
The definition and measurement of heterogeneity
Heterogeneity is an important concept in psychiatric research and science more broadly. It
negatively impacts effect size estimates under case–control paradigms, and it exposes …
negatively impacts effect size estimates under case–control paradigms, and it exposes …
Comparison of traditional model-based statistical methods with machine learning for the prediction of suicide behaviour
LN Grendas, L Chiapella, DE Rodante… - Journal of psychiatric …, 2022 - Elsevier
Background Despite considerable research efforts during the last five decades, the
prediction of suicidal behaviour (SB) using traditional model-based statistical has been …
prediction of suicidal behaviour (SB) using traditional model-based statistical has been …