Machine Learning in Psychiatry (MLPsych) Consortium
@ml-psych.bsky.social
The Machine Learning in Psychiatry (MLPsych) Consortium is a collaboration between scientists from various disciplines using ML in psychiatry and brain research.
Graph Neural Networks can be utilized to extract candidate genes associated with a myriad of disease processes. This paper by Ankita Saxena highlights the latest advances in this field:
A Systematic Review of the Application of Graph Neural Networks to Extract Candidate Genes and Biological Associations - PubMed
The development of high throughput technologies has resulted in the collection of large quantities of genomic and transcriptomic data. However, identifying disease-associated genes or networks from these data has remained an ongoing challenge. In recent years, graph neural networks (GNNs) have emerg …
pubmed.ncbi.nlm.nih.gov
October 29, 2025 at 2:04 PM
Graph Neural Networks can be utilized to extract candidate genes associated with a myriad of disease processes. This paper by Ankita Saxena highlights the latest advances in this field:
World Congress of Psychiatric Genetics(WCPG)
@ISPGnet
is starting from October 19th to 23rd next week in Cancun, Mexico!
We hope to see you there!
#WCPG2025
ispg.societyconference.com/v2/
@ISPGnet
is starting from October 19th to 23rd next week in Cancun, Mexico!
We hope to see you there!
#WCPG2025
ispg.societyconference.com/v2/
October 17, 2025 at 3:30 PM
World Congress of Psychiatric Genetics(WCPG)
@ISPGnet
is starting from October 19th to 23rd next week in Cancun, Mexico!
We hope to see you there!
#WCPG2025
ispg.societyconference.com/v2/
@ISPGnet
is starting from October 19th to 23rd next week in Cancun, Mexico!
We hope to see you there!
#WCPG2025
ispg.societyconference.com/v2/
Reposted by Machine Learning in Psychiatry (MLPsych) Consortium
Traveling to Mexico for WCPG? Review all the need-to-know travel information with the link below. Can't wait to see you there! #WCPG2025
ispg.societyconference.com/v2/
ispg.societyconference.com/v2/
October 16, 2025 at 7:00 PM
Traveling to Mexico for WCPG? Review all the need-to-know travel information with the link below. Can't wait to see you there! #WCPG2025
ispg.societyconference.com/v2/
ispg.societyconference.com/v2/
This paper by Doctor Jiahui Hou and Professor @stephenjglatt.bsky.social
is a comprehensive meta-analysis on the blood transcriptomic associations in studies of Alzheimer's Disease
pubmed.ncbi.nlm.nih.gov/39679839/
is a comprehensive meta-analysis on the blood transcriptomic associations in studies of Alzheimer's Disease
pubmed.ncbi.nlm.nih.gov/39679839/
Meta-Analysis of Transcriptomic Studies of Blood and Six Brain Regions Identifies a Consensus of 15 Cross-Tissue Mechanisms in Alzheimer's Disease and Suggests an Origin of Cross-Study Heterogeneity -...
The comprehensive genome-wide nature of transcriptome studies in Alzheimer's disease (AD) should provide a reliable description of disease molecular states. However, the genes and molecular systems no...
pubmed.ncbi.nlm.nih.gov
October 17, 2025 at 1:43 PM
This paper by Doctor Jiahui Hou and Professor @stephenjglatt.bsky.social
is a comprehensive meta-analysis on the blood transcriptomic associations in studies of Alzheimer's Disease
pubmed.ncbi.nlm.nih.gov/39679839/
is a comprehensive meta-analysis on the blood transcriptomic associations in studies of Alzheimer's Disease
pubmed.ncbi.nlm.nih.gov/39679839/
Take a look at our paper highlighting the current landscape of gene expression-based machine learning classifiers for neuropsychiatric disorders!
Appraisal of Gene Expression-Based Classifiers for Neuropsychiatric Disorders: A Meta-Regression - PubMed
A substantial body of research examines the potential of gene-expression-based biomarkers for diagnosing and selecting treatments for neuropsychiatric disorders, yet no clear consensus has been reache...
pubmed.ncbi.nlm.nih.gov
October 9, 2025 at 6:42 PM
Take a look at our paper highlighting the current landscape of gene expression-based machine learning classifiers for neuropsychiatric disorders!
How has AI been integrated in network models for neuropsychiatric applications?
This paper offers a comprehensive review on AI's current usage in the network biology space for psychiatric disorders.
This paper offers a comprehensive review on AI's current usage in the network biology space for psychiatric disorders.
Network-based artificial intelligence approaches for advancing personalized psychiatry - PubMed
Psychiatric disorders have a complex biological underpinning likely involving an interplay of genetic and environmental risk contributions. Substantial efforts are being made to use artificial intelli...
pubmed.ncbi.nlm.nih.gov
September 24, 2025 at 7:37 PM
How has AI been integrated in network models for neuropsychiatric applications?
This paper offers a comprehensive review on AI's current usage in the network biology space for psychiatric disorders.
This paper offers a comprehensive review on AI's current usage in the network biology space for psychiatric disorders.
Do not miss out on our flagship paper!
Are you interested in applying machine learning models to your neuropsychiatric datasets?
We introduce Guidelines for Reporting Machine Learning Investigations in Neuropsychiatry (GREMLIN), a resource for neuroscientists interested in making the most of AI.
Are you interested in applying machine learning models to your neuropsychiatric datasets?
We introduce Guidelines for Reporting Machine Learning Investigations in Neuropsychiatry (GREMLIN), a resource for neuroscientists interested in making the most of AI.
A primer on the use of machine learning to distil knowledge from data in biological psychiatry - Molecular Psychiatry
Molecular Psychiatry - A primer on the use of machine learning to distil knowledge from data in biological psychiatry
www.nature.com
September 17, 2025 at 4:49 PM
Do not miss out on our flagship paper!
Are you interested in applying machine learning models to your neuropsychiatric datasets?
We introduce Guidelines for Reporting Machine Learning Investigations in Neuropsychiatry (GREMLIN), a resource for neuroscientists interested in making the most of AI.
Are you interested in applying machine learning models to your neuropsychiatric datasets?
We introduce Guidelines for Reporting Machine Learning Investigations in Neuropsychiatry (GREMLIN), a resource for neuroscientists interested in making the most of AI.