Descrizione del progetto
IA per una medicina personalizzata nel cancro pancreatico
Si ritiene che il cancro pancreatico diventerà la seconda causa principale di morti legate al cancro entro il 2030. Tuttavia, la nostra comprensione della sua biologia sta migliorando in fretta, dando luogo a strategie di trattamento innovative. Il progetto PANCAIM, finanziato dall’UE, applicherà dati genomici e clinici esistenti per migliorare la medicina personalizzata del cancro pancreatico. L’innovativo progetto integra l’intero spettro della genomica con la radiomica e la patomica, i tre pilastri della medicina personalizzata del futuro. PANCAIM applica un metodo di IA a due fasi efficiente dal punto di vista dei dati, che si basa su quattro concetti centrali di IA nella sanità: fornitori di dati, competenze cliniche, sviluppatori IA, e aziende MedTech per connettersi ai dati e introdurre l’IA nella sanità.
Obiettivo
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.
Campo scientifico
Parole chiave
Programma(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SC1-FA-DTS-2020-1
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
6525 GA Nijmegen
Paesi Bassi