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

Pharmacogenomics‐Driven Prediction of Antidepressant Treatment Outcomes: A Machine Learning Approach with Multi‐Trial Replication

(2019) Arjun P. Athreya et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Applications of machine learning in addiction studies: A systematic review

(2019) Kwok Kei Mak et al.   PSYCHIATRY RESEARCH

Treatment-Resistant Schizophrenia: Insights From Genetic Studies and Machine Learning Approaches

(2019) Claudia Pisanu et al.   Frontiers in Pharmacology

Polymorphisms of the DNA repair gene EXO1 modulate cognitive aging in old adults in a Taiwanese population

(2019) Eugene Lin et al.   DNA REPAIR

Integrating sleep, neuroimaging, and computational approaches for precision psychiatry

(2019) Andrea N. Goldstein-Piekarski et al.   NEUROPSYCHOPHARMACOLOGY

Prediction of lithium response using clinical data

(2019) A. Nunes et al.   ACTA PSYCHIATRICA SCANDINAVICA

ARPNet: Antidepressant Response Prediction Network for Major Depressive Disorder

(2019) Buru Chang et al.   Genes

The use of machine learning techniques in trauma-related disorders: a systematic review

(2019) Luis Francisco Ramos-Lima et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Machine Learning Approaches for Clinical Psychology and Psychiatry

(2018) Dominic B. Dwyer et al.   Annual Review of Clinical Psychology

Leveraging the Power of Genetics to Bring Precision Medicine to Psychiatry: Too Little of a Good Thing?

(2018) Daniel Moreno-De-Luca et al.   BIOLOGICAL PSYCHIATRY

Combination of rs-fMRI and sMRI Data to Discriminate Autism Spectrum Disorders in Young Children Using Deep Belief Network

(2018) Maryam Akhavan Aghdam et al.   JOURNAL OF DIGITAL IMAGING

GWAS-based machine learning approach to predict duloxetine response in major depressive disorder

(2018) Malgorzata Maciukiewicz et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Opportunities and obstacles for deep learning in biology and medicine

(2018) Travers Ching et al.   Journal of the Royal Society Interface

Precision Psychiatry—Will Genomic Medicine Lead the Way?

(2018) Murray B. Stein et al.   JAMA Psychiatry

Quality and learning aspects of the first 9000 spirometries of the LifeGene study

(2018) Mikaela Qvarfordt et al.   npj Primary Care Respiratory Medicine

The Present and Future of Precision Medicine in Psychiatry: Focus on Clinical Psychopharmacology of Antidepressants

(2018) Alessandro Serretti   Clinical Psychopharmacology and Neuroscience

A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers

(2018) Eugene Lin et al.   Frontiers in Psychiatry

A Systematic Meta-Review of Predictors of Antidepressant Treatment Outcome in Major Depressive Disorder

(2018) Kelly Perlman et al.   JOURNAL OF AFFECTIVE DISORDERS

Deep Learning in Drug Discovery and Medicine; Scratching the Surface

(2018) Dibyendu Dana et al.   MOLECULES

Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases

(2018) Ramon Casanova et al.   NEUROIMAGE

Machine learning in neuroimaging: Progress and challenges

(2018) Christos Davatzikos   NEUROIMAGE

Translational machine learning for psychiatric neuroimaging

(2018) Martin Walter et al.   PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY

Combination of G72 Genetic Variation and G72 Protein Level to Detect Schizophrenia: Machine Learning Approaches

(2018) Eugene Lin et al.   Frontiers in Psychiatry

Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning

(2017) Ronghui Ju et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Building better biomarkers: brain models in translational neuroimaging

(2017) Choong-Wan Woo et al.   NATURE NEUROSCIENCE

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

(2017) Mohammad R. Arbabshirani et al.   NEUROIMAGE

Effects of circadian clock genes and environmental factors on cognitive aging in old adults in a Taiwanese population

(2017) Eugene Lin et al.   Oncotarget

Taiwan Biobank: making cross-database convergence possible in the Big Data era

(2017) Jui-Chu Lin et al.   GigaScience

Genetic Biomarkers on Age-Related Cognitive Decline

(2017) Chieh-Hsin Lin et al.   Frontiers in Psychiatry

The ADAMTS9 gene is associated with cognitive aging in the elderly in a Taiwanese population

(2017) Eugene Lin et al.   PLoS One

Effects of circadian clock genes and health-related behavior on metabolic syndrome in a Taiwanese population: Evidence from association and interaction analysis

(2017) Eugene Lin et al.   PLoS One

A machine learning approach for the identification of key markers involved in brain development from single-cell transcriptomic data

(2016) Yongli Hu et al.   BMC GENOMICS

Population structure of Han Chinese in the modern Taiwanese population based on 10,000 participants in the Taiwan Biobank project

(2016) Chien-Hsiun Chen et al.   HUMAN MOLECULAR GENETICS

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease

(2016) Andrés Ortiz et al.   International Journal of Neural Systems

Combining clinical variables to optimize prediction of antidepressant treatment outcomes

(2016) Raquel Iniesta et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Integration of Known DNA, RNA and Protein Biomarkers Provides Prediction of Anti-TNF Response in Rheumatoid Arthritis: Results from the COMBINE Study

(2016) Lasse Folkersen et al.   MOLECULAR MEDICINE

The road to precision psychiatry: translating genetics into disease mechanisms

(2016) Michael J Gandal et al.   NATURE NEUROSCIENCE

Toward a Global Roadmap for Precision Medicine in Psychiatry: Challenges and Opportunities

(2016) Shareefa Dalvie et al.   OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY

Genome-wide microarray analysis of gene expression profiling in major depression and antidepressant therapy

(2016) Eugene Lin et al.   PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY

Machine learning, statistical learning and the future of biological research in psychiatry

(2016) R. Iniesta et al.   PSYCHOLOGICAL MEDICINE

Toward Precision Psychiatry: Statistical Platform for the Personalized Characterization of Natural Behaviors

(2016) Elizabeth B. Torres et al.   Frontiers in Neurology

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

(2016) Riccardo Miotto et al.   Scientific Reports

Association and interaction of APOA5, BUD13, CETP, LIPA and health-related behavior with metabolic syndrome in a Taiwanese population

(2016) Eugene Lin et al.   Scientific Reports

Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia

(2016) Walter H. L. Pinaya et al.   Scientific Reports

Predicting the Naturalistic Course of Major Depressive Disorder Using Clinical and Multimodal Neuroimaging Information: A Multivariate Pattern Recognition Study

(2015) Lianne Schmaal et al.   BIOLOGICAL PSYCHIATRY

Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification

(2015) Zakariya Yahya Algamal et al.   COMPUTERS IN BIOLOGY AND MEDICINE

The combined effect of genetic polymorphisms and clinical parameters on treatment outcome in treatment-resistant depression

(2015) Alexander Kautzky et al.   EUROPEAN NEUROPSYCHOPHARMACOLOGY

Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction

(2015) Meenal J. Patel et al.   INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY

Genome-wide association studies in pharmacogenomics of antidepressants

(2015) Eugene Lin et al.   PHARMACOGENOMICS

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Neural networks in psychiatry

(2013) Hilleke Hulshoff Pol et al.   EUROPEAN NEUROPSYCHOPHARMACOLOGY

Biomarker robustness reveals the PDGF network as driving disease outcome in ovarian cancer patients in multiple studies

(2012) Rotem Ben-Hamo et al.   BMC Systems Biology

Assessing Gene-Gene Interactions in Pharmacogenomics

(2012) Hsien-Yuan Lane et al.   Molecular Diagnosis & Therapy

The Healthy Twin Study, Korea Updates: Resources for Omics and Genome Epidemiology Studies

(2012) Bayasgalan Gombojav et al.   Twin Research and Human Genetics

On the adaptive elastic-net with a diverging number of parameters

(2009) Hui Zou et al.   ANNALS OF STATISTICS

Automatic classification of MR scans in Alzheimer's disease

(2008) S. Kloppel et al.   BRAIN