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CLARIFY

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CLoud ARtificial Intelligence For pathologY

Pathology has repeatedly been highlighted as being ripe for innovation in terms of workflow efficiency and more accurate diagnostics. In fact, the estimated market growth for digital pathology systems is huge, with the forecast to... see more

29/02/2024

UPV

3M€

Project Budget: 3M€

Project leader

UNIVERSITAT POLITÈCNICA DE VALÈNCIA No se ha especificado una descripción o un objeto social para esta compañía.

total researchers 701

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo H2020 notifico la concesión del proyecto The day 2024-02-29

MSCA-ITN-2019: Innovative Training Networks Objective:The Innovative Training Networks (ITN) aim to train a new generation of creative, entrepre...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

7 Participantes

UPV

501.81K€ | Leader

TYRIS SOFTWARE

250.90K€ | participant

ERASMUS MC

265.62K€ | participant

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Project duration: 54 months Date Start: 2019-08-09
End date: 2024-02-29

Project leader

UNIVERSITAT POLITÈCNICA DE VALÈNCIA No se ha especificado una descripción o un objeto social para esta compañía.

total researchers 701

Project Budget 3M€

participation deadline Sin fecha límite de participación.

Project description Pathology has repeatedly been highlighted as being ripe for innovation in terms of workflow efficiency and more accurate diagnostics. In fact, the estimated market growth for digital pathology systems is huge, with the forecast to reach 143 million dollars by 2019 in the EU and 205 million dollars in the USA. Despite this boost in sales, diagnostic pathology in practice today is still a slow and cumbersome process that relies heavily on the subjective interpretation of a microscopic image by a qualified pathologist. This imposes a limitation, even more substantial in small pathology departments where the pathologists might not be specialized in particular areas. CLARIFY addresses the challenge to improve pathology departments’ workflow optimising current diagnosis and monitoring processes. With this purpose, CLARIFY’s scientific goal is to develop a robust automated digital diagnostic environment based on cutting-edge technologies (such as digital image processing, artificial intelligence, cloud computing, blockchain, etc.) to enhance knowledge sharing and reach better‐informed decisions. To achieve it, CLARIFY targets to deliver an innovative, multinational, multi-sectorial, and multidisciplinary research and training programme that link two highly differentiated specialities: engineering and medicine, with a focus on digital pathology. CLARIFY’s partnership gathers relevant scientific staff from academia, industry and hospitals, which will be involved in a high-level personalised training programme that will guarantee ESRs and future PhD students outstanding Career Opportunities. CLARIFY will disseminate results to a wide spectrum of stakeholders, create awareness in the general public about digital pathology and encourage careers related to this field among young students.

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