Completed Digestion, Kidneys & Other Organs Engineering

Innovative biomedical engineering and computational science to improve the management of critical illness in resource-limited settings

In plain English

AI plain-English summary

A new team in Vietnam will build and test low-cost medical devices and artificial intelligence tools to improve care for critically ill patients with infectious diseases in hospitals that lack advanced equipment. This matters because intensive care in resource-limited settings across Asia faces a stark gap: the same infections that kill or disable patients are often treatable with basic monitoring and timely decisions, but the necessary equipment—ultrasound machines, wearable sensors, decision-support software—is either too expensive, too fragile, or not designed for these conditions. The project directly addresses this mismatch by developing and adapting technology for the real-world constraints of Vietnamese hospitals. If the research succeeds, it could change how critical illness is managed across low- and middle-income countries. Point-of-care ultrasound could replace costly imaging. AI-driven clinical support could help nurses and doctors spot deterioration earlier. Low-cost wearables and in-bed cycling could reduce long-term disability. The team will also calculate the true costs of critical care in Vietnam and test whether these innovations are affordable and acceptable—essential steps before any wider rollout. The work is applied, not fundamental science, with a clear path to bedside use.

View original technical description
Our project’s primary objective is to provide proof-of-principle that new technology can help improve the care of critically ill patients with infectious diseases in resource-limited settings. To achieve this objective we will develop a new inter-disciplinary ‘innovations for critical care’ team within Oxford University Clinical Research Unit (OUCRU), a Wellcome Africa Asia Programme in Vietnam. The team will consist of Vietnamese and International clinicians, biomedical engineers, and computational scientists in OUCRU, linked to biomedical engineering groups at Oxford University, King’s College London, Imperial College London, and Eidgenössische Technische Hochschule, Zurich. The team will develop and test technology with the potential to save lives and prevent disability from the common causes of critical illness in Asia. We will also investigate whether novel technologies can improve rehabilitation and long-term outcomes in survivors from critical illness. We have 4 key goals: 1: To develop new devices, or test existing devices, including point-of-care ultrasound, that will enable lost-cost capture and monitoring of key clinical and physiological variables in critically ill patients 2: To use artificial intelligence and computer-assisted and machine learning to devise clinical decision-support systems from clinical, physiological, and imaging data 3: To investigate whether interventions such as in-bed cycling and rectus femoris ultrasound can aid physical rehabilitation, and whether low-cost wearable devices can promote and predict better functional recovery after critical illness 4: To determine the current costs of critical illness care in Vietnam and to assess the potential acceptability, affordability and cost-effectiveness of the technology tested in Vietnam and similar settings.

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Researchers

Adrianus (Arjen) Dondorp (EPMC Awardee)Catherine Thwaites (EPMC Awardee)Guy Thwaites (EPMC Awardee)Marc Modat (EPMC Awardee)Nicholas Day (EPMC Awardee)Reza Razavi (EPMC Awardee)Sophie Yacoub (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Personalised Simulation Technologies for Optimising Treatment in the Intensive Care Unit: Realising Industrial and Medical Applications
Affordable and scalable remote monitoring platforms for disease characterisation and patient management in pandemics and for high-consequence infections
CALOPUS - Computer Assisted LOw-cost Point-of-care UltraSound
Capacity building for a Centre of Design, Innovation and Translational Excellence (CITE) for clinical trials of healthcare technologies in SS Africa
Multiplexed 'Touch and Tell' Optical Molecular Sensing and Imaging

Original classification

Innovations Priority Project

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.