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Found 25 matches for

New ultrasound drug delivery system found to be highly effective against bacterial biofilms

Researchers from the Department of Engineering Science and NDORMS engineered ultrasound-activated, antibiotic-loaded nanoparticles that disrupt biofilms and deliver drugs directly to infection sites – advancing non-invasive targeting of infections.

First patients scanned in new study investigating traumatic brain injury in young athlete

Researchers at The Podium Institute for Sports Medicine and Technology at the Institute of Biomedical Engineering, have recruited their first participants for a new study exploring the impact of head injuries on the brains of 11 to 18-year-olds using cutting-edge neuroimaging techniques.

‘Origami-inspired’ folding electrodes could reduce surgery needed to treat brain conditions

A research team led by the University of Oxford and the University of Cambridge have created new ‘origami-inspired’ brain electrodes that can fold to a fraction of their full size. This advance could significantly reduce the amount of surgery needed to treat conditions such as epilepsy, or to install brain-computer interfaces.

Oxford scientist to lead international transdisciplinary consortium towards delivering NetZero Healthcare

The European Union Horizon Europe (with joint funding from UK Research Innovation) has awarded the NetZeroAICT Consortium major funding to develop a novel technology with great potentials to promote climate neutral and sustainable health care.

Oxford Chemical Engineers win top prize at 2023 IChemE Global Awards

The collaborative project 'Rapid test for Covid-19' by the University of Oxford and Oxsed Limited clinched the top prize, the 'Outstanding Achievement in Chemical and Process Engineering Award.' The team also secured two additional trophies in the categories of 'Innovative Product Award' and 'Business Start-up Award.'

Oxford engineers to contribute to US President Biden’s $104M effort to develop transformative solutions to antibiotic resistance

Professor Harrison Steel’s group in the Department of Engineering Science, the only international member of a cross-disciplinary team led by Harvard Medical School, will scale up existing technologies and translate them to clinical use to support the global fight against antimicrobial resistance

Professors awarded prestigious UKRI Turing AI World-Leading Fellowships

Professor Michael Bronstein and Professor Alison Noble will conduct ground-breaking work on some of artificial intelligence’s biggest challenges.

Night-time blood pressure assessment important in diagnosing hypertension

A new study involving Oxford's Department of Engineering Science has found that monitoring night-time blood pressure is important in preventing cardiovascular disease such as stroke or heart failure.

Research winners and commendation announced for MPLS Impact Awards 2022

Eleven MPLS researchers have been recognised in this year’s MPLS Impact Awards, which showcase research impact across the division and help us to identify examples of impact excellence that will help us to prepare the ground for future Research Excellence Framework (REF) submissions and similar exercises.

Engineering researcher awarded funding to lead international collaboration on machine-learning for cardiac monitoring

Royal Academy of Engineering Research Fellow, Dr Tingting Zhu, has been awarded Royal Society funding to lead an international collaboration that aims to develop an open-source platform for cardiac monitoring, using machine-learning.

MPLS student Hannah Rana, who recently completed a DPhil in Engineering, selected for Schmidt Science Fellowship

Hannah is one of 29 Schmidt Science Fellows selected this year to receive support for up to two years from Schmidt Futures, working in partnership with the Rhodes Trust, to help advance interdisciplinary research and innovation around major challenges facing humanity.

Two MPLS projects win funding from the UKRI and Wellcome Physics of Life Strategic Priorities Fund

UK Research and Innovation (UKRI) and Wellcome have announced a £18 million investment for nine multidisciplinary research projects through the Physics of Life Strategic Priorities Fund. Two of these projects are co-led by academics in MPLS departments.

First-in-human implant of a “closed-loop” bioelectronic research system

Researchers at Oxford University have implanted a novel closed-loop research platform for investigating the role of the pedunculopontine nucleus (PPN) – a brainstem nucleus – in Parkinson’s-like Multiple Systems Atrophy (MSA).

Professor Cui elected Foreign Member of Chinese Academy of Engineering

For contribution to chemical engineering and the promotion of China-UK exchanges and cooperation

University of Oxford Launches Podium Analytics Institute for Youth Sports Medicine and Technology

Oxford University has been selected as the home of the new Podium Analytics Institute for Youth Sports Medicine and Technology. This will be the world’s first academic Institute focused on young athletes’ safety and lifelong health.

Oxford overseas research facility expands to include diagnostics and genetics testing centre

The Oxford-Suzhou Centre for Advanced Research, known as OSCAR, has marked another significant milestone with the launch of OSCAR-Prenetics Innovation and Technology Centre for Advanced Molecular Diagnostics (the OSCAR-Prenetics ITC).

Averting an antibiotics apocalypse: major funding announced to tackle resistance to antibiotics

A cross-disciplinary team from the Universities of Oxford, Ulster and UCL have announced major funding from EPSRC to tackle the growing challenge of Antimicrobial Resistance (AMR).

Oxford University and Prenetics announce landmark collaboration to scale rapid testing tech globally

Today, the University of Oxford, Prenetics Limited, a global leader in diagnostics and genetic testing, and Oxford Suzhou Centre for Advanced Research (OSCAR) have signed collaboration agreements to further develop the award-winning OxLAMP technology, a rapid, molecular testing technology for infectious diseases.

New machine learning system developed to identify deteriorating patients in hospital

Researchers in Oxford have developed a machine learning algorithm that could significantly improve clinicians’ ability to identify hospitalised patients whose condition is deteriorating to the extent that they need intensive care.

An OBE for Professor Eleanor Stride in New Year's Honours

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