CLoud ARtificial Intelligence For pathologY
About project
OVERVIEW
CLARIFY is an innovative, multinational, multi-sectorial, and multidisciplinary research and training programme that links two highly differentiated specialities: engineering and medicine, to produce 12 Early Stage Researchers (ESRs) in artificial intelligence (AI), cloud computing and clinical pathology with the focus on digital pathology.
CLARIFY’s main goal is to develop a robust automated digital diagnostic environment based on artificial intelligence and cloud-oriented data algorithms that facilitates whole-slide-image (WSI) interpretation and diagnosis everywhere with the aim of maximising the benefits of digital pathology and aiding pathologists in their daily work.
CLARIFY gathers relevant scientific staff from academia, industry and leading hospitals ensuring that CLARIFY’s ESRs, as well as, future PhD students following the same tracks, will have outstanding Career Opportunities within the digital pathology sector and beyond.
Specific and challenging cancer types have been selected to test the tools and methods developed through the project reflecting the existing variability in cancer diagnosis: Triple negative breast cancer (TNBC), High-risk non-muscle invasive bladder cancer (HR-NMIBC) and Spitzoid melanocytic lesions (SML).
Project ID
860627
H2020 -MSCA - ITN - 2019
Total Cost
€ 3 220 753,32
EU Contribution
%
Researchers
12 Early Stage Researchers
OBJECTIVES
SCIENTIFIC: The main scientific goal of CLARIFY is to create a research infrastructure based on digital image processing, artificial intelligence and cloud computing to enhance knowledge sharing and reach better-informed decisions in pathology. This ambitious goal breaks down as follows:
1
Advanced image processing techniques and artificial intelligence methods for automatic WSI interpretation with two purposes: diagnosis and image retrieval.
2
Novel cloud-oriented data infrastructure and algorithms: to securely store, retrieve and share a publicly available WSI database assuring data interoperability and portability
3
Innovative and user-friendly software: computer-aided diagnosis and content-based image retrieval tools based on artificial intelligence and cloud-computing algorithms to improve workflow efficiency, stimulate collaboration and increase diagnostic confidence at pathology labs no matter their location.
TRAINNING: CLARIFY will provide a high-level personalised multidisciplinary training program. This will include enrolment in a PhD program (in two tracks: engineering and medicine) as well as further education in transferable skills (such as entrepreneurship, project management, ethical issues, IPR, open access). The long-term ambition is evolving scientific leadership – a foundation for ERC starting grants and/or industry leadership – Industry Fellow.
DISSEMINATION AND OUTREACH: Disseminate the digital pathology methods and tools developed by the ITN to a wide spectrum of stakeholders ranging from the scientific community to clinicians and industry; create awareness in the pathology field about the need of using new technologies to reduce their workload; to encourage pathology and computer engineer vocational careers among young students, with special emphasis on women.
News
Consortium
BENEFICIARIES
PARTNER ORGANIZATIONS
Supervisory Board (SB) and ESR Supervisors (ES)
Valery Naranjo (SB/ES)
Universitat Politècnica de València
Kjersti Engan (SB/ES)
University of Stavanger
Chunming Rong (ES)
University of Stavanger
Zhiming Zhao (SB/ES)
Universiteit Van Amsterdam
Rafael Molina (SB/ES)
Universidad de Granada
Carlos Monteagudo (SB/ES)
Instituto de Investigación Sanitaria INCLIVA
Emiel Janssen (SB/ES)
Helse Stavanger HF
Tahlita Zuiverloon (SB/ES)
Erasmus Medisch Centrum Rotterdam
Russel Wolff (SB/ES)
bitYoga
Javier Oliver (SB/ES)
Tyris Software
Antonio Ferrández (SB)
Universitat de València
Davide Zaccagnini (SB)
Lynkeus
Carlos Manchado (SB)
Roche Diagnostics
External Advisory Board
Ritu Aneja
Professor of Cancer Biology Georgia State University
Malkom Atkinson
Professor - The University of Edinburgh
Delia DeBuc
Research Associate Professor of Ophthalmology - Bascom Palmer Eye Institute
Keith Jeffery
Independent Consultant on Information Systems, Metadata and Cloud Computing
Aggelos K. Katsaggelos
Professor of Electrical and Computer Engineering – Northwestern University
Juan Merlo
Professor in Public Health and Community Medicine – Lund University
Victor G Prieto
Professor and Chair – University of Texas – MD Anderson Cancer Center
Eugen Petcu
Head of Quantitative Digital Pathology - Immunohistochemistry Section at Menzies Health Institute – Griffith University
Researchers
Na Li
ESR1 - Universiteit Van Amsterdam
Yuandou Wang
ESR2 - Universiteit Van Amsterdam
Neel Kanwal
ESR4 - University of Stavanger
Saul Fuster Navarro
ESR5 - University of Stavanger
ESR6
Universitat Politècnica de València
Institute for Research and Innovation in Bioengineering
(Valencia, Spain)
Laëtitia Launet
ESR7 - Universitat Politècnica de València
Arne Schmidt
ESR8 - Universidad de Granada
ESR9
Tyris Software S.L.
(Valencia, Spain)
Farbod Khoraminia
ESR10 - Erasmus Medisch Centrum Rotterdam
ESR11
Helse Stavanger HF
Department of Pathology
(Stavanger, Norway)
Andrés Mosquera-Zamudio
ESR12 - Instituto de Investigación Sanitaria INCLIVA
Events
Dissemination
Conference Papers
2020 IEEE Services: IEEE World Congress on Services (19-24 Oct-2020; Online)
Wang, Y., Zhao, Z., Decentralized workflow management on software defined infrastructure, 1st Workshop On Data-Centric Workflows On Heterogeneous Infrastructures: Challenges And Directions (DAWHI) in the context of IEEE Services Congress, 2020. http://doi.org/10.1109/SERVICES48979.2020.00059
Journal Papers
Newsletters
Deliverables
Contact us
VALERY NARANJO
Project Coordinator
Universitat Politècnica de València
Camino de Vera s/n,
46022 Valencia (España)
Ciudad Politécnica de la Innovación
Edificio 8B – Cubo Azul – Acceso N