MicroActive

MicroActive will develop an instrument for molecular diagnostics intended for use in the doctors' office. The instrument will in the first instance be used to screen patients for a group of viruses, known as human papilloma virus, which is implicated in cervical cancer. Microfluidics and biotechnology form the basis for the development.

Currently many common diseases require that samples are sent to remote labs for diagnosis. This is costly, time consuming, increases patient anxiety and delays the start of treatment. MicroActive will make it feasible to carry out automatic, accurate diagnosis at the local doctor's office. MicroActive will achieve this by using bio-marker mRNA detection. Compared to commonly used approaches (e.g. PCR amplification and immunoassay methods), mRNA detection avoids false positive results and has a high sensitivity. This approach is currently used to detect cervical pre-cancer, cancer, STDs and a range of respiratory diseases, to mention a few. In addition, recent advances in the field of molecular biology and high throughput technologies are generating hundreds of potential biomarkers every day.

MicroActivee will:

  • Develop an integrated system based on microtechnology and biotechnology for automated diagnosis of a wide range of diseases.The system will analyze biological samples and be specifically designed for use in primary health care.
  • Validate the sensitivity of the system using cytological samples from women at risk of developing cervical cancer (the second most common female cancer) as test cases. Results from the new, automated system will be compared with gold standard hospital lab tests for human papilloma viruses (HPV).
  • Prepare for industrial production of the system.

For further information, please visit:
http://www.sintef.no/microactive

Project co-ordinator:
SINTEF, (NO)

Partners:

  • NorChip AS (NO)
  • Institut für Mikrotechnik Mainz GMbH (DE)
  • IMTEK, University of Freiburg (DE)
  • BioFluidix GmbH (DE)
  • The Coombe Lying-in Hospital (IE)

Timetable: from 12/05 – to 11/08

Total cost: € 2.779.600

EC funding: € 1.600.000

Instrument: STREP

Project Identifier: IST-2005-017319

Source: FP6 eHealth Portfolio of Projects

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

The Human Touch of Doctors will Still be…

AI-based medicine will revolutionise care including for Alzheimer’s and diabetes, predicts a technology expert, but it must be accessible to all patients. Healing with Artificial Intelligence, written by technology expert Daniele...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...

Brain Imaging may Identify Patients Like…

By understanding differences in how people’s brains are wired, clinicians may be able to predict who would benefit from a self-guided anxiety care app, according to a new analysis from...