With a unique engineering‑first approach, CBI builds the enabling tools, such as microfluidic platforms, intelligent diagnostics, advanced materials and AI‑driven health systems that help move scientific discoveries from the lab into real clinical use. This positions the center as a key contributor within the UAE’s growing biomedical ecosystem.
CBI's research is organized into three interconnected themes spanning biological discovery, technology development and data‑driven healthcare intelligence. Through hands‑on research, interdisciplinary training and strong partnerships with healthcare providers, government agencies, industry and the Sharjah Research, Technology and Innovation Park (SRTIP), the center supports innovation, technology transfer and commercialization.
CBI is committed to advancing healthcare innovation and delivering solutions that create meaningful impact locally, regionally and globally.
To be a leading interdisciplinary research center that advances biomedical innovation that addresses regional and global healthcare challenges through impactful science in biosciences, bioengineering and digital health by integrating expertise in advanced biomedical devices, biofunctional materials, microbiome science, longevity research and AI-driven healthcare systems. CBI serves as a hub for translational innovation, empowering researchers and students to accelerate scientific discovery, improve healthcare outcomes and contribute to sustainable societal progress
This theme develops next-generation biomedical platforms, including microfluidic systems, BioMEMS, lab-on-chip devices, wearable and implantable biosensors and integrated diagnostic and therapeutic systems. By enabling precise manipulation of biological systems, real-time monitoring and scalable, cost-effective healthcare solutions, it serves as the core enabling layer for the center, supporting all other research activities. The theme focuses on device prototyping, validation and translation ensuring readiness for clinical and industrial deployment, while providing enabling platforms for biological experimentation, tissue modeling, advanced diagnostics and medical device engineering innovation.
Theme Lead
Dr. Mohamed Abdelgawad, Associate Professor in Mechanical Engineering
Members
Leveraging the platforms developed in Theme 1, this theme serves as the biological and translational core of the center, advancing precision health through the development and application of biomaterials, advanced drug delivery systems, microbiome science, pharmacology, regenerative and longevity-based therapies, including tissue engineering and nanomedicine. By integrating experimental biology with translational research, it advances precision medicine approaches through the study of cellular systems, disease mechanisms and therapeutic interventions to generate high-value biological datasets and clinically relevant insights. The theme emphasizes the development of next-generation therapeutics and personalized treatment strategies positioning itself at the interface of biology, materials science and clinical application.
Theme Lead
Dr. Amin Majdalawieh, Professor in Biology, Chemistry and Environmental Sciences
Members
This theme serves as the intelligence and data integration layer of the center, integrating artificial intelligence and advanced analytics into the experimental, device-driven, and biological systems developed across themes 1 and 2 to enable data-driven healthcare solutions. By combining AI with microfluidic platforms, biosensors, imaging systems and tissue-engineered models, it supports embedded real-time analysis, automation, adaptive clinical decision support and scalable digital health applications. The theme advances digital pathology, spatial biology, biosignal processing, multimodal data integration, AI-driven laboratory automation, human–robot interaction, neuroengineering and AI applications in mental health, while translating innovations into real-world, deployable clinical tools through software-as-a-service platforms and healthcare partnerships. Designed for direct integration with major clinics and hospitals, the theme enables validation, deployment and scaling of technologies within real healthcare settings, supporting clinical workflow optimization, population health analytics and interoperable healthcare systems. Collectively, the theme bridges engineering innovation with clinical intelligence, ensuring that solutions developed within the center are data‑driven, scalable and deployable across modern healthcare ecosystems.
Theme Lead
Members
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