The COVID-19 outbreak causes world health care systems to crumble under the load. This consortium proposes a Home-use/Point-of-Care device, incorporating improved clinical parameters, providing early detection, and monitoring of COVID-19 patients.
This consortium presents a computerized auscultation device – the PyXy – which provides expert-level lung and heart check-up. The PyXy brings breakthrough capabilities in terms of sound and infrasound analysis, body temperature, blood oxygen levels, heart rate and respiratory cycle, all analyzed by artificial intelligence (AI) for accurate diagnostic data. The device recently showed very promising results in relation to managing COVID-19 disease. Using H2020 funds, the consortium plans to introduce the PyXy to the market within 22 months: allowing anyone to perform diagnostic at an accuracy not normally accessible to the medical staff.
In this project the consortium will collect COVID-19 patient data and take the PyXy to high volume manufacturing level. The consortium gathers two technology provider SMEs – Sanolla, the developer of the PyXy device, and Medsensio, experts in AI for classification – together with an established player in the medical devices and e-health solutions – Riester. The work will be done in collaboration with four healthcare service providers (Natali, BeneVit, Helgeland and PhilonMed) to ensure the PyXy will be accepted by the market from all possible aspects.
We believe that PyXy is capable to substantially reduce the health-economic impact on healthcare and elderly care services by preventing hospitalization in emergent-care situations. In addition, as PyXy can be used by lesser skilled individuals, we believe it will potentially bridge the gap in care settings that face extreme shortage of skilled workers, and can even be used by informal caregivers at home reducing the overall hospitalization rate even further.
Field of science
- /social sciences/economics and business/business and management/commerce
- /natural sciences/computer and information sciences/artificial intelligence
- /medical and health sciences/health sciences/health care services
Call for proposal
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Funding SchemeIA - Innovation action
5252268 Ramat Gan