Development and commercialization of a semi-supervised learning AI for robust diagnosis in real world settings.

Project description

Computers to diagnose like human doctors

Fields of science

• engineering and technology › electrical engineering, electronic engineering, information engineering › information engineering › telecommunications › mobile phone
• engineering and technology › medical engineering › medical laboratory technology › laboratory samples analysis
• medical and health sciences › clinical medicine › endocrinology › diabetes
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › sensors › optical sensors
• medical and health sciences › clinical medicine › cardiology › cardiac arrhythmia
• social sciences › educational sciences › pedagogy › active learning
• medical and health sciences › clinical medicine › cardiology › cardiovascular diseases

Programme(s)

• H2020-EU.3. - PRIORITY 'Societal challenges
• H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
• H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies

Topic(s)

• EIC-SMEInst-2018-2020 - SME instrument

Call for proposal

H2020-SMEInst-2018-2020-1
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

MR DOC SRL

Address

Via Pietro Blaserna 40
00146 Roma
Italy

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU contribution

€ 50 000