Approved Research

Establishment of novel methods for detection of individual health status via multiomics approach

Lay summary

Aims: This study aims to develop and test novel methods of detecting health declines based on the biomarkers found in an individual blood.

Scientific rationale: We are analysing blood samples using AI methods to uncover patterns and biomarkers associated with ageing and age-related diseases.. By leveraging AI techniques, such as machine learning algorithms, we can identify subtle patterns and relationships within the data that traditional methods might miss

Project duration: Estimated duration of this project is expected to be 3 years.

Public health impact: Our research project will help develop methods that may lead to earlier detection of disease, possibly before symptoms start showing. This would allow individuals to have earlier interventions, which leads to better health outcomes and reduced health care costs.