AI-powered pathological cancer diagnostics

Project description

Artificial intelligence in cancer diagnosis

As the number of cancer cases worldwide increases, there is a pressing need for prompt and accurate cancer diagnosis. Existing approaches are time-consuming and depend heavily on the knowledge and experience of trained pathologists. To overcome these limitations, the EU-funded AIPACA project aims to develop an artificial intelligence-based software capable of analysing biopsy slides within seconds to identify tumour regions and quantify tumour biomarkers. The software is expected to significantly reduce biopsy processing time and assist diagnosis through deep learning features. Moreover, it will minimise variations in diagnosis, offering a robust and reliable clinical tool.

Fields of science

• medical and health sciences › clinical medicine › oncology
• natural sciences › computer and information sciences › artificial intelligence › machine learning › deep learning

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-EIC-SMEInst-2018-2020-3
See other projects for this call

Funding Scheme

SME-2b - SME Instrument (grant only and blended finance)

Coordinator

MINDPEAK GMBH

Address

Zirkusweg 2
20359 Hamburg
Germany

Activity type

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

EU contribution

€ 1 372 378