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Faithful to our philosophy, we do not limit ourselves to one type of sensor or actuator (a single technology will not resolve all issues).

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We develop synthetic datasets to validate algorithms, including machine learning algorithms (artificial intelligence, AI) used in medical devices.

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Healthcare Technologies and Biomedical Engineering

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Research Content

In the theme of Healthcare Technologies Engineering our group develops integrated microfluidics platforms to study complex fluids and biological environments.

Microfluidics provides a versatile and powerful technology platform for the manipulation of fluids at the microscale and for the integration of sensors and actuators. It enables the creation of static and dynamic environment controlled to high spatio-temporal resolution and multimodal sensing. In addition, we adapt and evaluate off-the-shelf commercial sensor and other devices for applications in the clinical setting and for patient rehabilitation.

We specialise in translational research to ensure that such advances benefit our society as a whole. For this vision to become a reality, we work closely with biologists, clinicians, environmental scientists, physicists, chemists, engineers and social scientists from academia or industry and we propose solutions that can be easily manufactured.

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Working with microfluidics, biomedical integrated sensors, and wearable devices for movement analytics, we specialise in translational research to ensure that such advances benefit our society as a whole.

We also address the safety of medical devices, validating algorithms including machine learning (artificial intelligence) algorithms used in medical devices. Validation provides legitimacy to new products, enabling them to reach the market more quickly. Our capability includes areas of safety analysis techniques (e.g. FMEA) for medical devices and their associated software, and interpretation of safety standards.