The potential of precision psychiatry: what is in reach?

Brain morphology is differentially impacted by peripheral cytokines in schizophrenia-spectrum disorder

(2021) Liliana Laskaris et al.   BRAIN BEHAVIOR AND IMMUNITY

Toward Generalizable and Transdiagnostic Tools for Psychosis Prediction: An Independent Validation and Improvement of the NAPLS-2 Risk Calculator in the Multisite PRONIA Cohort

(2021) Nikolaos Koutsouleris et al.   BIOLOGICAL PSYCHIATRY

Stratified psychiatry: Tomorrow's precision psychiatry?

(2021) Martijn Arns et al.   EUROPEAN NEUROPSYCHOPHARMACOLOGY

Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning

(2020) Ganesh B Chand et al.   BRAIN

Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches

(2020) Eugene Lin et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Clinical patterns differentially predict response to transcranial direct current stimulation (tDCS) and escitalopram in major depression: A machine learning analysis of the ELECT-TDCS study

(2020) Joseph Kambeitz et al.   JOURNAL OF AFFECTIVE DISORDERS

An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings

(2020) Dominic B. Dwyer et al.   JAMA Psychiatry

Towards precision clinical trials and personalized prevention in CHR with smartphone digital phenotyping and personal sensing tools

(2020) John Torous et al.   SCHIZOPHRENIA RESEARCH

Deep learning for small and big data in psychiatry

(2020) Georgia Koppe et al.   NEUROPSYCHOPHARMACOLOGY

A multivariate neuromonitoring approach to neuroplasticity-based computerized cognitive training in recent onset psychosis

(2020) Shalaila S. Haas et al.   NEUROPSYCHOPHARMACOLOGY

Could Polygenic Risk Scores Be Useful in Psychiatry?

(2020) Graham K. Murray et al.   JAMA Psychiatry

Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression

(2020) Nikolaos Koutsouleris et al.   JAMA Psychiatry

Heterogeneity and Classification of Recent Onset Psychosis and Depression: A Multimodal Machine Learning Approach

(2020) Paris Alexandros Lalousis et al.   SCHIZOPHRENIA BULLETIN

Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

(2019) Yogatheesan Varatharajah et al.   Scientific Reports

Deep neural networks in psychiatry

(2019) Daniel Durstewitz et al.   MOLECULAR PSYCHIATRY

Clinical indicators of treatment-resistant psychosis

(2019) Sophie E. Legge et al.   BRITISH JOURNAL OF PSYCHIATRY

Biomarker-based prognosis for people with mild cognitive impairment (ABIDE): a modelling study

(2019) Ingrid S van Maurik et al.   LANCET NEUROLOGY

Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach

(2019) Micah Cearns et al.   Translational Psychiatry

Genomic prediction of depression risk and resilience under stress

(2019) Yu Fang et al.   Nature Human Behaviour

Can Machine Learning help us in dealing with treatment resistant depression? A review

(2019) Alessandro Pigoni et al.   JOURNAL OF AFFECTIVE DISORDERS

Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression

(2018) Nikolaos Koutsouleris et al.   JAMA Psychiatry

A machine learning ensemble to predict treatment outcomes following an Internet intervention for depression

(2018) Rahel Pearson et al.   PSYCHOLOGICAL MEDICINE

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

(2018) Alexandra L Young et al.   Nature Communications

Using blood cytokine measures to define high inflammatory biotype of schizophrenia and schizoaffective disorder

(2017) Danny Boerrigter et al.   Journal of Neuroinflammation

An Individualized Risk Calculator for Research in Prodromal Psychosis

(2016) Tyrone D. Cannon et al.   AMERICAN JOURNAL OF PSYCHIATRY

The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth

(2016) Theodore D. Satterthwaite et al.   NEUROIMAGE

Subtyping Schizophrenia by Treatment Response: Antipsychotic Development and the Central Role of Positive Symptoms

(2015) Jimmy Lee et al.   CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE

Detecting Neuroimaging Biomarkers for Schizophrenia: A Meta-Analysis of Multivariate Pattern Recognition Studies

(2015) Joseph Kambeitz et al.   NEUROPSYCHOPHARMACOLOGY

Pharmacogenetics Studies in STAR*D: Strengths, Limitations, and Results

(2014) Gonzalo Laje et al.   PSYCHIATRIC SERVICES

Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

(2010) Christos Davatzikos et al.   NEUROBIOLOGY OF AGING

Use of Neuroanatomical Pattern Classification to Identify Subjects in At-Risk Mental States of Psychosis and Predict Disease Transition

(2009) Nikolaos Koutsouleris et al.   ARCHIVES OF GENERAL PSYCHIATRY