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

Project description

Computers to diagnose like human doctors

Field 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