Medical devices
Medical devices have revolutionised the way we treat and diagnose disease and injury. We live longer and healthier lives in part due to these medical devices, which identify diseases and treat diseases with more accuracy and precision. This is an exciting research area as advances in engineering (e.g., big data, machine learning, nanotechnology, super-resolution) continue to provide opportunities to diagnose diseases earlier, more accurately; and treat diseases more effectively and with fewer side effects.
Investigators in the Department of Bioengineering are meeting medical challenges and creating new devices that can transform future clinical practice. We are building intravenous -catheters, bionic-ear cochlea, non-invasive microsurgical devices, fetal movement monitors, and many more medical devices.
We work closely with physicians and scientists in the Faculty of Medicine to identify medical challenges, and we build solutions in collaboration with scientists and engineers from the Faculties of Natural Sciences, Engineering, and Business.
Academic staff in this area
Professor Martyn Boutelle
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Professor Martyn Boutelle
Biomedical sensors
Professor Anthony Bull
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Professor Anthony Bull
The leadership of MedTechONE and multiple translational MedTech projects
Professor Etienne Burdet
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Professor Etienne Burdet
Robotic devices for life science and neurology
Professor Manos Drakakis
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Professor Manos Drakakis
Bio-circuits and systems
Professor Aldo Faisal
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Professor Aldo Faisal
Wearables. Machine learning for medical devices
Professor Rylie Green
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Professor Rylie Green
Bionic devices, polymer and stretchable electronics
Professor James Moore Jr
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Professor James Moore Jr
Treatment of diseases of the lymphatic and cardiovascular systems. Entrepreneurship.
Dr Nic Newell
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Dr Nic Newell
Spinal implants: fusion cages, total disc replacements, nucleus replacements
Professor Molly Stevens
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Professor Molly Stevens
Biosensing platforms and medical devices for regenerative medicine
Dr Majid Taghavi
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Dr Majid Taghavi
Artifical muscles, variable stiffness implants
Professor Mengxing Tang
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Professor Mengxing Tang
Ultrasound based devices for imaging and sensing