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Home NEWS Science News Science

SniffPhone detects cancer from breath

Bioengineer by Bioengineer
March 11, 2019
in Science
Reading Time: 3 mins read
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VTT involved in the development of a cancer screening device

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Credit: Copyright: JLM Innovation GmbH

SniffPhone, currently in its prototype phase, enables early diagnosis of gastric cancer from a person’s exhaled breath. The new method may revolutionise cancer screening all over the world. VTT has participated to the development of SniffPhone prototype and concept with nine other project partners.

SniffPhone is a small sensor device developed for cancer screening that can be attached to a smartphone. In practice, the user holds the device in front of his or her mouth and exhales onto the sensor to give breath sample. The device measures the contained Volatile Organic Compounds (VOCs) using highly sensitive nanotechnology-based chemical sensors. The measurements are sent via Bluetooth using a smartphone to a dedicated cloud platform, where they are analysed by the appropriate medical personnel.

The new cancer screening method has many advantages over traditional methods: the device is comfortable and painless to use. In addition, it provides a simple, fast and cost-effective alternative for screening gastric cancers. In the project, SniffPhone prototypes have been developed and validated by means of, for example, clinical studies. The next step in the project is finding financiers for this kind of novel cancer screening method. Commercialisation of the device is planned to take place through a spin-off company.

VTT’s role in the project was the implementation of the platform for transferring data from the smartphone to a cloud-based storage space. VTT has also been building analysis tools and methods for recognising high-risk patients. In addition, VTT developed a mobile application that guides the user in giving a breath sample and provides the user with a preliminary analysis of the sample. Furthermore, a physician’s analysis tool has been developed to display the analysis results of breath samples. VTT was also in charge of the implementation of responsible research and innovation in the project by such methods as engaging final users and stakeholders in the development work through interviews and workshops and integrating responsible design practices into project operations.

The SniffPhone project is part of the EU’s Horizon 2020 Funding Programme. The project consortium consists of nine partners: the coordinator Technion – Israel Institute of Technology (Israel), NanoVation (Israel), Cellix Ltd (Ireland), microfluidic ChipShop (Germany), University of Latvia (Latvia), University of Innsbruck (Austria), Siemens (Germany), JLM Innovation GmbH (Germany) and VTT.

On 21 November 2018, the SniffPhone project was awarded the 2018 Innovation Award by the European Commission for Most Innovative Project.

###

Link: https://www.sniffphone.eu/

Further information:

VTT Ltd

Kari Antila, Senior Scientist

tel. +358 40 8347509, [email protected]

Further information on VTT:

Kirsi Jaatinen

Specialist, Communications

+358 20 722 6757, [email protected]

http://www.vtt.fi

VTT is a visionary research, development and innovation partner. We drive sustainable growth and tackle the biggest global challenges of our time and turn them into growth opportunities. We go beyond the obvious to help the society and companies to grow through technological innovations. We have over 75 years of experience of top-level research and science-based results. VTT´s turnover and other operating income is 258 M€. VTT is at the sweet spot where innovation and business come together. VTT – beyond the obvious. Twitter @VTTFinland, Facebook, LinkedIn, YouTube and Instagram. For photos and videos, please visit our Image Bank.

Media Contact
Kari Antila
[email protected]

Original Source

https://www.vttresearch.com/media/news/sniffphone-detects-cancer-from-breath

Tags: cancerComputer ScienceElectrical Engineering/ElectronicsHealth Care Systems/ServicesResearch/DevelopmentTechnology/Engineering/Computer Science
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