WOUNDMONITOR

WOUNDMONITOR project aims at producing a non-invasive system device which can monitor the state of a patient's wounds simply by detecting bad bacteria in the air emitted from the wound. Using state of art sensors we will be able to detect and diagnose the presence of an infection almost instantaneously.

The treatment of critically ill patients suffering from burns, chronic skin ulcers or serious wounds, is often complicated by infection. Early detection of bacterial and/or fungal infections is a well identified problem in healthcare, where there are significant scientific and technical problems to be overcome.

WOUNDMONITOR will apply state of the art sensor technology for research and development on an innovative diagnostic system that will enable:

  • non-invasive sampling of volatiles emitted from burns, skin ulcers or gaping wounds
  • rapid processing of such samples with a mobile laboratory-based multi-technology gas sensor array and pattern recognition system
  • rapid diagnosis of changes in state of a patient
  • assistance to medical personnel in decision-making in the treatment of such patients
  • enhancement of patient safety and personalisation of healthcare and lifestyle management for patients.

For further information, please visit:
http://www.manchester.ac.uk/woundmonitor

Project co-ordinator:
The University of Manchester

Partners:

  • The University of Manchester (School of Chemical)
  • Engineering and Analytical Science) (UK)
  • Puslaidininkiu Fizikos Institutas (LT)
  • Kaunas Medical University Hospital (LT)
  • CNR-Istituto Nazionale per la Fisica della Materia, Brescia (IT)
  • Biodiversity SPA (IT)
  • Umwelt-Systemtechnik GmbH (DE)
  • Department of Burns and Plastic Surgery at South
  • Manchester University Hospitals Trust (UK)

Timetable: from 01/06 – to 12/08

Total cost: € 2.242.496

EC funding: € 1.665.687

Instrument: STREP

Project Identifier: IST-2004-027859

Source: FP6 eHealth Portfolio of Projects

Most Popular Now

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...

Standing Up for Health Tech and SMEs: Sh…

AS the new chair of the health and social care council at techUK, Shane Tickell talked to Highland Marketing about his determination to support small and innovative companies, by having...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...

ChatGPT Extracts Data for Ischaemic Stro…

In an ischaemic stroke, an artery in the brain is blocked by blood clots and the brain cells can no longer be supplied with blood as a result. Doctors must...

Experts Propose Specific and Suited Guid…

Current Artificial Intelligence (AI) models for cancer treatment are trained and approved only for specific intended purposes. GMAI models, in contrast, can handle a wide range of medical data including...