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Shortening the path to rare disease diagnosis by using newborn genetic screening and digital technologies

Project description

Fast-tracking rare disease diagnosis and treatment

There are more than 7 000 known rare diseases, conditions that affect no more than 1 person in 2 000. Collectively, these conditions that impact up to 36 million people across the EU and will affect 1 in 17 people during their lifetime, are often severe, multisystemic chronic diseases that put patients at risk of permanent organ damage and degeneration. Patients typically face an arduous journey to a proper diagnosis. In this context, the EU-funded SCREEN4CARE project aims to shorten the time to diagnosis and treatment of patients with rare diseases. Bringing together 35 partners in an international public-private consortium, the project will use a multipronged strategy that includes genetic newborn screening and AI-based algorithms to identify patients at early disease onset.

Objective

In the EU alone, according to the Orphanet DB (https://pubmed.ncbi.nlm.nih.gov/31527858/(opens in new window)) 30 million persons, 3,5-6% of the general population, are affected by one of the 6,172 different rare diseases (RDs) of which 72% are genetic and 70% affect children. The path to diagnosis for people suffering from a RD is burdensome, often severely delayed by a diagnostic odyssey. Lack of timely diagnosis affects disease management, family planning, identification of potential beneficial treatments and / or clinical trials. This unacceptable situation does not meet the concept of equity for EU citizens, and requires rapid, structured, and cost-effective corrective actions. The Screen4Care (S4C) consortium will leverage the genomic and digital advent to develop and pilot genetic NBS and AI-guided symptom recognition algorithms, while accounting for all relevant legal, regulatory and ethical considerations. S4C aims to harmonize the results of existing efforts in a horizon scan, by looking at the totality of the available data resources, diagnostic algorithms, and other initiatives with similar ultimate goals.
The genetic NBS will interrogate 1) currently treatable RDs (TREAT-map gene panel), 2) actionable RDs (ACT-map gene panel) in 18.000 new-borns in 3 EU countries (D, It, and Cz). Further, S4C will offer whole genome sequencing (WGS) to early symptomatic babies, tested negatively during panel-based NBS to identify known NBS-escaped RDs and novel genes/phenotypes.
S4C will also provide two digital diagnosis support systems for RD on the basis of features and symptom complexes: 1) federated ML- and literature-evidence-based algorithm for continuous and automated screening of EHR and 2) meta symptom checker with virtual clinics for patients and HCP offering the possibility of increased accuracy of diagnosis and ongoing supports. Our ambitious goal is to evaluate the validity of our multi-pronged approach to shorten the time to diagnosis for all patients affect by RDs, improve value-based healthcare resource utilization, and hopefully reduce the suffering of millions of European citizens.

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RIA - Research and Innovation action

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(opens in new window) H2020-JTI-IMI2-2020-23-two-stage

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Coordinator

UNIVERSITA DEGLI STUDI DI FERRARA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 691 786,00
Address
VIA ARIOSTO 35
44121 Ferrara
Italy

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Region
Nord-Est Emilia-Romagna Ferrara
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 404 286,25

Participants (40)

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