Dokyoon Kim

Assistant Professor

University of Pennsylvania

United States

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About

Dokyoon Kim is an Assistant Professor at the University of Pennsylvania, USA. His research interests include cancer gene expression, cardiovascular risk factors, and the application of artificial intelligence in health prediction models. He has contributed to studies on genetic predispositions, lifestyle impacts on health, and advanced deep learning techniques in medical imaging. Dr. Kim's recent publications explore the intersection of genetics and disease, focusing on a diverse range of health outcomes across multiple cohorts.

Articles (20)

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2025

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2021

Collaborators (5)

Kyung-Ah Sohn

Ajou University

SOUTH KOREA

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Soojin Cha

Research Professor

Hanyang University

SOUTH KOREA

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Seung Mi Lee

Seoul National University College of Medicine

SOUTH KOREA

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Ji Won Park

Associate professor

Seoul National University Hospital

SOUTH KOREA

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Hong-Hee Won

Professor

Sungkyunkwan University

SOUTH KOREA

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Dokyoon Kim

Research Interests

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About

Articles (20)

Germline genetic scores associated with cancer gene expression and immune responses across multiple cancer types

GeOKG: geometry-aware knowledge graph embedding for Gene Ontology and genes

Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study

The impact of lifestyle on cardiovascular risk in patients with gout: a population-based cohort study

Deep learning imaging phenotype can classify metabolic syndrome and is predictive of cardiometabolic disorders

Association between genetic risk and adherence to healthy lifestyle for developing age-related hearing loss

Polygenic risk score-based phenome-wide association study of head and neck cancer across two large biobanks

Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network

Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction

Cardiovascular risk according to genetic predisposition to gout, lifestyle and metabolic health across prospective European and Korean cohorts

A deep learning model for screening type 2 diabetes from retinal photographs

Dissecting the clinical relevance of polygenic risk score for obesity—a cross-sectional, longitudinal analysis

Reply to comment(s) on “Development and validation of a novel strong prognostic index for colon cancer through a robust combination of laboratory features for systemic inflammation: a prognostic immune nutritional index”

NETMAGE: A human disease phenotype map generator for the network-based visualization of phenome-wide association study results

A Network-Based Analysis of Disease Complication Associations for Obstetric Disorders in the UK Biobank

Epigenetic interplay between methylation and miRNA in bladder cancer: focus on isoform expression

HiG2Vec: hierarchical representations of Gene Ontology and genes in the Poincaré ball

Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancer

Genetic Analysis Reveals Rare Variants in T-Cell Response Gene MR1 Associated with Poor Overall Survival after Urothelial Cancer Diagnosis

Reliability of microarray analysis for studying periodontitis: low consistency in 2 periodontitis cohort data sets from different platforms and an integrative meta-analysis

Collaborators (5)

Kyung-Ah Sohn

Soojin Cha

Seung Mi Lee

Ji Won Park

Hong-Hee Won

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