Skip to main content
Menu

IBME

Case Studies

Our case studies showcase academic research from across the Institute that has had an impact on the world or local community, and feature some of our current academics, research staff, Alumni and students.

Improving bioreactors used in stem cell therapies

Tissue Engineering

IBME chemical and biomedical engineer and Director of the Oxford Centre for Tissue Engineering and Bioprocessing Professor Cathy (Hua) Ye has spent years developing technology to support stem cell development. Here she shares more about her latest work to improve the production process.

OxVent ventilator machine, front view

OxVent – simple and scalable ventilator

In March 2020, in response to the UK Government’s Ventilator Challenge, students, academic engineers and medics at Oxford and King’s College London built a completely new, safe, simple and scalable ventilator from scratch in a week. This amazing team with IBME students, staff and academics playing key roles was forged during intense round-the-clock work in the first wave and has developed through to OxVent Limited, the social venture, today.

The GDm-Health app is designed to improve gestational diabetes management. Image shows a smartphone linked by Bluetooth to a blood glucose meter.

GDm-Health™: Gestational Diabetes management system

With funding from the Health Innovation Challenge Fund (a joint funding programme from the Wellcome Trust and Department of Health and Social Care), Professor Lionel Tarassenko CBE FREng FMedSci undertook a programme of research starting in 2008 to design a digital health system to support patients in the self-management of a chronic condition, using key features of new smartphone technology.

Researcher wearing PPE holding a vial of coronavirus sample

OxLAMP® – accurate and rapid COVID-19 test with no specialist equipment needed

Researchers at the Department of Engineering Science and at the Oxford Suzhou Centre for Advanced Research (OSCAR) developed a test very early on in the COVID-19 pandemic to detect in under 30 minutes whether a person is infected with the virus and is still infectious. *Image credit: Jude Palmer/Royal Academy of Engineering*