CORDIS - EU research results
CORDIS

Pancreatic cancer AI for genomics and personalized Medicine

Project description

AI for personalised medicine in pancreatic cancer

Pancreatic cancer is expected to become the second leading cause of cancer-related death by 2030. However, our understanding of its biology is improving rapidly and giving rise to innovative treatment strategies. The EU-funded PANCAIM project will apply existing genomic and clinical data to improve personalised medicine of pancreatic cancer. The innovative project integrates the entire range of genomics with radiomics and pathomics, which are the three pillars of future personalised medicine. PANCAIM applies a data-efficient two-staged AI method relying on four central concepts of AI in healthcare: data providers, clinical expertise, AI developers, and MedTech companies to connect to data and introduce AI into healthcare.

Objective

The central PANCAIM concept is to successfully exploit available genomic and clinical data to improve personalized medicine of pancreatic cancer. PANCAIM’s concept is unique as it integrates the whole spectrum of genomics with radiomics and pathomics, the three future pillars of personalized medicine. The integration of these three modalities is very challenging in the clinic, but also with AI. PANCAIM uses an explainable, data-efficient, two-staged AI approach. AI biomarkers transform the unimodal data domains into interpretable likelihoods of intermediate disease features. A second AI layer merges the biomarkers and responds with an integrated assessment of prognosis, prediction and monitoring of therapy response, to assist in clinical decision making.
PANCAIM builds on four key concepts of AI in Healthcare: data providers, clinical expertise, AI developers, and MedTech companies to connect to data and bring AI to healthcare. Data quantity and quality is the main factor for successful AI. Partners provide eleven Pan European repositories of almost 6000 patients that are open to ongoing accrual. SME Collective Minds builds the GDPR data platform that hosts the data and provides a trustable connection to healthcare for even more and sustainable data. SME TheHyve builds tooling to connect to more genomic repositories (EOSC Health). Six Pan European academic centers provide clinical expertise across all modalities and help realize a curated, high quality annotated data set. Partners also include expert AI healthcare researchers across all clinical modalities with a proven track record. Finally, Siemens Healthineers provides their AI expertise and tooling to bring AI into healthcare for clinical validation and swift clinical integration in 3000 health care institutes.

Call for proposal

H2020-SC1-FA-DTS-2018-2020

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Sub call

H2020-SC1-FA-DTS-2020-1

Coordinator

STICHTING RADBOUD UNIVERSITAIR MEDISCH CENTRUM
Net EU contribution
€ 1 775 000,00
Address
GEERT GROOTEPLEIN 10 ZUID
6525 GA Nijmegen
Netherlands

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Region
Oost-Nederland Gelderland Arnhem/Nijmegen
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 1 775 000,00

Participants (10)