Cardiovascular research · Zhengzhou University

Ge Zhang

Cardiovascular researcher focusing on artificial intelligence, multimodal clinical data, multi-omics, and circadian biology. My research spans basic, mechanistic, and translational cardiovascular science, with particular interests in explainable AI and clinical risk prediction, atherosclerosis and vascular biology, single-cell and multi-omics approaches, translational biomarker discovery, circadian disruption, heart failure, and precision cardiovascular medicine.

Research themes

Four connected directions

AI & clinical risk prediction

Explainable machine learning, multimodal clinical data, survival analysis and decision-support tools for cardiovascular disease.

Atherosclerosis & vascular biology

Plaque vulnerability, vascular smooth muscle cell states, single-cell genomics and molecular heterogeneity.

Multi-omics & translational biomarkers

Transcriptomics, proteomics, metabolomics and integrated systems biology for biomarker discovery and validation.

Circadian cardiovascular biology

Circadian disruption, chronobiology, vascular inflammation and precision cardiovascular medicine.