Director's Welcome
Overview
Goals and Objectives
Highlights
Center Director: Prof. Rifat Hamoudi
Researchers of CEPM works in an integrative and multi-disciplinary setting to uncover many questions revolving around the causes, patterns, and treatment responses associated with various diseases including cancer, diabetes, asthma among others. They employ AI to define and understand the functions of gene products involved in various diseases. Ultimately, translate the research findings into diagnosis and treatment. Finally, the center investigators utilize state-of-the-art approaches in all phases of their work to develop AI-based innovations in all fields of human health and biology. Additionally, the investigators contribute to technology development in computational genomics of both human and microorganisms.
Vision
To be the leading center for precision medicine in the UAE and the region contributing to more precise health care service to patients through translational and clinical research.
Mission
Develop and validate new biomarkers for diagnosis, prognosis, and prediction of diseases leading to the precise shaping of novel, patient-tailored, therapeutic approaches for different diseases of high priority to UAE.
Objectives of the Center:
- Conduct innovative and transformative health research that translates into a precise patient-tailored diagnostic, prognostic, and therapeutic approaches.
- To train students and researchers on the techniques and scientific processes related to the center aims and objectives to increase expertise capacity.
Approach
- Work in an integrative and multi-disciplinary setting to uncover the causes, patterns, and treatment responses associated with various diseases.
- Identify novel molecular targets of various diseases.
- Translate the research findings into innovative diagnostic tools and treatment approaches.
- Employ AI to interpret, understand, and inter-relate OMICS data for development of novel diagnostic and therapeutic tools.
- Contribute to technology development in computational genomics.