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).
H2020 -MSCA - ITN - 2019
€ 3 220 753,32
12 Early Stage Researchers
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:
Advanced image processing techniques and artificial intelligence methods for automatic WSI interpretation with two purposes: diagnosis and image retrieval.
Novel cloud-oriented data infrastructure and algorithms: to securely store, retrieve and share a publicly available WSI database assuring data interoperability and portability
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.
All ESRs in place!
All CLARIFY’s ESRs are already enrolled and starting their careers. Welcome to Na Li, Yuandou Wang, Jiahui Geng, Neel Kanwal, Saul Fuster Navarro, Claudio Fernandez, Laëtitia Launet, Arne Schmidt, Zahra TabaTabaei, Farbod Khoraminia, Umay Kiraz, Andrés Mosquera-Zamudio. A great team!
Visit Researchers section to get to know them!
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 – CLoud ARtificial Intelligence For pathologY – starts 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.
Supervisory Board (SB) and ESR Supervisors (ES)
External Advisory Board
ESR6 and ESR7 at the IEEE EMBS Forum
Claudio Fernandez and Laëtitia Launet, respectively ESR6 and ESR7 at the UPV, attended the IEEE EMBS Grand Challenge Forum on Data Science and Engineering in Healthcare, held virtually on Feb 10-13, 2021.
ESR12 at SEAP-IAP Annual Meeting
From the 4th to the 5th of February 2021, ESR12 attended the XLIV Annual Meeting of the Sociedad Española de Anatomía Patológica, the Spanish Division of the International Academy of Pathology.
1st Virtual Fieldtrip
On Jan 26, 2021, took place the first on-line networking training session of CLARIFY. Supervisors, co-supervisors and ESRs introduced themselves as an introduction to partner’s expertise and disciplines. This training was hosted by UPV.
ESR2 at DAWHI 2020
Yuandou Wang, ESR2 from UvA, gave a short virtual talk about “Decentralized workflow management on software defined infrastructure” at the 1st Workshop On Data-Centric Workflows On Heterogeneous Infrastructures: Challenges And Directions (DAWHI), in the context of IEEE Services Congress, 2020.
On 7th and 8th November, CLARIFY’s kick-off meeting took place in Valencia (Spain).
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
HPCS 2020: International Conference on High Performance Computing & Simulation (22-27 March-2021; Online)
Kruijer W., Wang Y., Koulouzis S., Li N., Bianchi R., Zhao, Z.: FAIR-Cells: an interactive tool for enabling the FAIRness of code fragments in Jupyter notebooks, in the proceedings of international conference of High Performance Computing and Simulation (HPCS) (2020), Spain [to appear]