QAZIIM Research & Innovation
Research Programmes
Integrated programmes connecting scientific discovery, advanced diagnostics and responsible translation into patient care.
QAZIIM research programmes
Our programmes unite clinical expertise, laboratory science, genomics, data science and international collaboration around important health challenges.
01Genomics & Precision Medicine
Studies genomic determinants of disease and translates genomic information into clinically meaningful knowledge.
- Rare and inherited disorders
- Cardiovascular, metabolic and neurogenetic disorders
- Hereditary cancer, reproductive genetics and pharmacogenomics
- Genomic biomarkers and genotype–phenotype relationships
- WGS, WES, targeted NGS, CNV, structural variants and RNA sequencing
- Population-specific genomic variation
Explore programme02Multi-Omics & Systems Medicine
Integrates molecular and clinical information to understand how genomic variation, gene regulation, RNA, proteins, metabolites, environment and cellular responses interact.
- Genomics, epigenomics and transcriptomics
- Proteomics and molecular pathways
- Integrated multi-omics analysis
- Diagnostic and prognostic biomarkers
- Disease subtypes, therapeutic targets and treatment response
Explore programme03Regenerative & Translational Medicine
Investigates cellular and molecular mechanisms of tissue repair and strategies that may enhance endogenous regeneration.
- Endothelial and vascular regeneration
- Stem and progenitor cell biology
- Mesenchymal stromal, CD34⁺, CD133⁺ and induced pluripotent stem cells
- Extracellular vesicles, tissue injury and repair
- Ischemic disease, kidney injury and cardiovascular regeneration
- Regenerative biomarkers and translational models
Explore programme04Cardiovascular & Vascular Biology
Investigates molecular and cellular mechanisms contributing to cardiovascular injury, repair and recovery.
- Myocardial ischemia and infarction
- Endothelial dysfunction, angiogenesis and vascular regeneration
- Circulating progenitor cells and cardiovascular genetics
- Inflammation, hypertension and atherosclerosis
- Microvascular dysfunction and biomarkers of injury and repair
Explore programme05Transplantation & Predictive Medicine
Uses clinical datasets, molecular research and predictive modelling to improve individualised transplantation outcomes.
- Kidney and solid-organ transplantation
- Graft survival and donor–recipient risk prediction
- Immunological and molecular biomarkers
- Post-transplant complications and long-term graft function
- Clinical decision-support systems
Explore programme06Neurogenetics, Epilepsy & Neurodevelopment
Combines genomic analysis with detailed clinical phenotyping to investigate the molecular basis of neurological disease.
- Epilepsy and developmental epileptic encephalopathies
- Neurodevelopmental disorders and intellectual disability
- Autism-associated and structural genomic variation
- Family- and trio-based genomic studies
- Genotype–phenotype relationships and neurological pharmacogenomics
Explore programme07Precision Oncology & Cancer Genomics
Characterises tumour biology through genomic and molecular profiling to investigate prognosis and therapeutic response.
- Somatic cancer genomics and hereditary predisposition
- Tumour profiling and genomic biomarkers
- DNA repair and homologous recombination deficiency
- Gene fusions and therapeutic resistance
- Pharmacogenomics and molecular tumour classification
Explore programme08Artificial Intelligence & Biomedical Data Science
Develops transparent computational methods that turn complex biomedical datasets into validated, clinically meaningful knowledge.
- Machine learning and predictive modelling
- Biomedical informatics and clinical risk prediction
- Genomic and multi-omics data integration
- Survival modelling and patient stratification
- Explainable AI and clinical decision support
Explore programme One Institute — Connected Research
Discovery → Understanding → Prediction → TranslationQAZIIM connects clinicians, molecular scientists, geneticists, bioinformaticians, data scientists, engineers, universities, hospitals and research institutes. The aim is to move from molecules and cells to patients and populations—and from biological discovery to earlier diagnosis, better prediction and more individualised medicine.