The Meta-Imageomics Research Laboratory investigates the complexities of human metabolism by integrating quantitative data from medical imaging with systemic multi-omics datasets.
Our research bridges metabolic physiology, clinical imaging, and data-driven systems biology to uncover tissue-specific metabolic mechanisms and their roles in health and disease.
By integrating positron emission tomography (PET), computed tomography (CT), and magnetic resonance imaging (MRI) with systemic metabolomics, lipidomics, and transcriptomics, we aim to develop innovative frameworks to unravel inter-organ communication, insulin resistance, adipose tissue biology, and cardiometabolic disorders. A central focus of our research is to transform medical imaging from a snapshot-based approach into a dynamic tool for studying how metabolism functions and changes in real time within the human body.
Obesity and type 2 diabetes are the primary focus of our work, serving as key models to study the mechanisms driving metabolic dysfunction.
We collaborate across disciplines, uniting expertise in imaging sciences, endocrinology, computational biology, and clinical research. Our long-term goal is to contribute to precision medicine by identifying novel imaging biomarkers and mechanistic targets for early diagnosis, treatment stratification, and monitoring of metabolic diseases.
The group is led by Adjunct Professor Mueez U-Din.