PyXy.AI | Telehealth-ready AI-powered multi-parametric system for surveillance of COVID-19 and cardio-pulmonary chronic patients

Summary
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.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101016046
Start date: 01-12-2020
End date: 31-01-2023
Total budget - Public funding: 6 768 875,00 Euro - 4 863 275,00 Euro
Cordis data

Original description

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.

Status

CLOSED

Call topic

SC1-PHE-CORONAVIRUS-2020-2B

Update Date

26-10-2022
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Horizon 2020
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.1. SOCIETAL CHALLENGES - Health, demographic change and well-being
H2020-EU.3.1.0. Cross-cutting call topics
H2020-SC1-PHE-CORONAVIRUS-2020-2-CNECT
SC1-PHE-CORONAVIRUS-2020-2B