Junhao WEN

Assistant Professor

University of Southern California

United States

Research Interests

Explore related searches

Professors in United States Professors in Medical Science Medical Science professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Junhao WEN is an Assistant Professor at the University of Southern California, United States. His research focuses on multi-organ, multi-omics approaches to medical applications, neuroimaging, and the genetic underpinnings of brain disorders. His recent publications include studies on biological aging clocks, neurodegeneration, and the integration of AI in neuroanatomical analyses.

Articles (18)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Collaborators (21)

Nicholas Ashton

Banner Alzheimer’s Institute

UNITED STATES

Junhao WEN

Research Interests

Explore related searches

Contact this professor

About

Articles (18)

Proteomic signatures of corona and herpes viral antibodies identify IGDCC4 as a mediator of neurodegeneration

Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disorders

Towards a multi-organ, multi-omics medical digital twin

Refining the generation, interpretation and application of multi-organ, multi-omics biological aging clocks

A genetically informed brain atlas for enhancing brain imaging genomics

Automated cytometric gating with human-level performance using bivariate segmentation

Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning

Brain aging patterns in a large and diverse cohort of 49,482 individuals

The genetic architecture of biological age in nine human organ systems

The genetic architecture of multimodal human brain age

Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering

Relationship between MRI brain-age heterogeneity, cognition, genetics and Alzheimer’s disease neuropathology

Genetic and clinical correlates of two neuroanatomical AI dimensions in the Alzheimer’s disease continuum

Psychosis brain subtypes validated in first-episode cohorts and related to illness remission

Genomic loci influence patterns of structural covariance in the human brain

Neurobiologically Based Stratification of Recent-Onset Depression and Psychosis: Identification of Two Distinct Transdiagnostic Phenotypes

Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression.

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes

Collaborators (21)

Nicholas Ashton

Thomas Karikari

Rebecca Gottesman

Gyujoon Hwang

Dr Sian Lowri Griffiths

Adam Spira

Gregory Jicha

Josef Coresh

Paris Alexandros Lalousis

Timothy Hohman

robin murray

Paola Dazzan

Theodore Satterthwaite

Arthur Toga

Ganesh Chand

Brion Maher

Murat Bilgel

Katharine Chisholm

DUY DUONG-TRAN

Aristeidis Sotiras

CHANGGEE CHANG

Make your next move.