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MOSAIC: An Artificial Intelligence-Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare Cancers.

Saverio D'AmicoLorenzo Dall'OlioCesare RolloPatricia AlonsoIñigo Prada-LuengoDaniele Dall'OlioClaudia SalaElisabetta SautaGianluca AstiLuca LaninoGiulia MaggioniAlessia CampagnaElena ZazzettiMattia DelleaniMaria Elena BicchieriPierandrea MorandiniVictor SavevskiBorja ArroyoJuan ParrasLin-Pierre ZhaoUwe PlatzbeckerMaria Diez CampeloValeria SantiniPierre FenauxTorsten HaferlachAnders KroghSantiago ZazoPiero FariselliTiziana SanaviaMatteo Giovanni Della PortaGastone C Castellani
Published in: JCO clinical cancer informatics (2024)
MOSAIC provides an explainable and robust framework to optimize classification and prognostic assessment of rare cancers. AI-based approaches demonstrated superior accuracy in capturing genomic similarities and providing individual prognostic information compared with conventional statistical methods. Its federated implementation ensures broad clinical application, guaranteeing high performance and data protection.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • healthcare
  • primary care
  • pain management
  • copy number
  • health information
  • dna methylation
  • quality improvement
  • young adults
  • data analysis