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

Resultado de imagen de icono objetivo 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.

Resultado de imagen de icono objetivo 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.

Resultado de imagen de icono objetivo 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

CLARIFY returns

The COVID-19 outbreak had also consequences on CLARIFY project. The incorporation of the ESRs had to be postponed. First ESRs joined CLARIFY network in sep-2020.

Visit Researchers section to get to know them.

CLARIFY's positions available!

Visit EURAXESS and Researchers section for more information.
Application deadline: 15-Feb-2020

CLARIFY starts

CLARIFYCLoud ARtificial Intelligence For pathologYstarts on 1-nov-2019 and ends 31-oct-2023. The project, coordinated by the Universitat Politècnica de València (Spain), is funded under the programme: H2020-EU.1.3.1. – Fostering new skills by means of excellent initial training of researchers.  

 

Consortium

BENEFICIARIES

PARTNER ORGANIZATIONS

Supervisory Board (SB) and ESR Supervisors (ES)

Valery Naranjo (SB/ES)

Valery Naranjo (SB/ES)

Universitat Politècnica de València

    

Kjersti Engan (SB/ES)

Kjersti Engan (SB/ES)

University of Stavanger

    

Chunming Rong (ES)

Chunming Rong (ES)

University of Stavanger

    

Zhiming Zhao (SB/ES)

Zhiming Zhao (SB/ES)

Universiteit Van Amsterdam

    

Rafael Molina (SB/ES)

Rafael Molina (SB/ES)

Universidad de Granada

    

Carlos Monteagudo (SB/ES)

Carlos Monteagudo (SB/ES)

Instituto de Investigación Sanitaria INCLIVA

    

Emiel Janssen (SB/ES)

Emiel Janssen (SB/ES)

Helse Stavanger HF

    

Tahlita Zuiverloon (SB/ES)

Tahlita Zuiverloon (SB/ES)

Erasmus Medisch Centrum Rotterdam

    

Russel Wolff (SB)

Russel Wolff (SB)

bitYoga

  

Antorweep Chakravorty (ES)

Antorweep Chakravorty (ES)

bitYoga

   

Javier Oliver (SB/ES)

Javier Oliver (SB/ES)

Tyris Software

    

Antonio Ferrández (SB)

Antonio Ferrández (SB)

Universitat de València

    

Davide Zaccagnini (SB)

Davide Zaccagnini (SB)

Lynkeus

    

Carlos Manchado (SB)

Carlos Manchado (SB)

Roche Diagnostics

   

External Advisory Board

Ritu Aneja

Ritu Aneja

Professor of Cancer Biology Georgia State University

   

Malkom Atkinson

Malkom Atkinson

Professor - The University of Edinburgh

    

Delia DeBuc

Delia DeBuc

Research Associate Professor of Ophthalmology - Bascom Palmer Eye Institute

    

Keith Jeffery

Keith Jeffery

Independent Consultant on Information Systems, Metadata and Cloud Computing

  

Aggelos K. Katsaggelos

Aggelos K. Katsaggelos

Professor of Electrical and Computer Engineering – Northwestern University

    

Juan Merlo

Juan Merlo

Professor in Public Health and Community Medicine – Lund University

  

Victor G Prieto

Victor G Prieto

Professor and Chair – University of Texas – MD Anderson Cancer Center

 

Eugen Petcu

Eugen Petcu

Head of Quantitative Digital Pathology - Immunohistochemistry Section at Menzies Health Institute – Griffith University

  

Researchers

Na Li

Na Li

ESR1 - Universiteit Van Amsterdam

    

Yuandou Wang

Yuandou Wang

ESR2 - Universiteit Van Amsterdam

  

Jiahui Geng

Jiahui Geng

ESR3 - bitYoga AS

  

Neel Kanwal

Neel Kanwal

ESR4 - University of Stavanger

    

Saul Fuster Navarro

Saul Fuster Navarro

ESR5 - University of Stavanger

    

ESR6

ESR6

Universitat Politècnica de València

Institute for Research and Innovation in Bioengineering

(Valencia, Spain)

Laëtitia Launet

Laëtitia Launet

ESR7 - Universitat Politècnica de València

   

Arne Schmidt

Arne Schmidt

ESR8 - Universidad de Granada

    

ESR9

ESR9

Tyris Software S.L.

(Valencia, Spain)

Farbod Khoraminia

Farbod Khoraminia

ESR10 - Erasmus Medisch Centrum Rotterdam

    

ESR11

ESR11

Helse Stavanger HF

Department of Pathology

(Stavanger, Norway)

Andrés Mosquera-Zamudio

Andrés Mosquera-Zamudio

ESR12 - Instituto de Investigación Sanitaria INCLIVA

    

Events

ITN 2019 Coordinators’ Info Day

Universitat Politècnica de València attended  to the H2020 MSCA ITN 2019 – Coordinators’ Info Day organised by the European Commission on 22nd November in Brussels.

Kick-off meeting

On 7th and 8th November, CLARIFY’s kick-off meeting took place in Valencia (Spain).

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.

Journal Papers

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Newsletters

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Deliverables

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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

 

 

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