| Title: | Integrating multi-omics data: exploring new clues and targets in the diagnosis and treatment of cardiovascular and cerebrovascular diseases |
| Lead Institution: | Shandong University |
| Principal investigator: |
Application 568183
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About
The core issue of this research is to integrate data from different levels, including genome, transcriptome, proteome and imaging genomics, in order to comprehensively reveal the etiology, pathological mechanisms and clinical features of cardiovascular and cerebrovascular diseases. The goal of the research is to improve the accuracy of diagnosis of cardiovascular and cerebrovascular diseases, optimise treatment options, improve prognostic assessment, and promote the development of personalised medicine through this interdisciplinary data fusion. The study aims to use machine learning and artificial intelligence technologies to deeply analyse multi-omics data and discover new biomarkers and therapeutic targets, so as to provide a more precise scientific basis for the treatment of cardiovascular and cerebrovascular diseases, and ultimately to improve the clinical outcomes and quality of life of patients. The development of modern multi-omics technologies, including genomics, transcriptomics, proteomics, and imaging genomics, has provided us with the ability to comprehensively capture disease characteristics from multiple dimensions. This interdisciplinary data fusion not only supports a systems biology approach to analyse the interactions and network relationships between its components by treating the biological system as a whole, but also enables us to identify new patterns and associations and construct predictive models through data-driven hypothesis generation and the application of machine learning and artificial intelligence, leading to a deeper understanding of the etiology, pathomechanisms, clinical features, clinical characteristics, and prognosis of cardiovascular diseases and prognosis. The complementary nature of multi-omics data allow us to more fully understand disease states, identify key biomarkers and therapeutic targets, and thus drive advances in cardiovascular and cerebrovascular disease research and improve clinical outcomes for patients.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 18509 | Association of apolipoprotein B and excess apolipoprotein B with cardiovascular risk in type 2 diabetes: a prospective cohort study of the UK Biobank | Lijuan Lyu (+7) | 2026 | Lipids in Health and Disease |
Enabling scientific discoveries that improve human health