Project description
Stratification of patients with musculoskeletal symptoms using advanced integrative data modelling
Early disease stratification is important to ensure appropriate care of patients with musculoskeletal symptoms. The EU-funded SPIDeRR project aims to streamline early rheumatic diseases diagnosis. The innovative approach will identify disease groups amongst similar-symptom patients by integrating all relevant data dimensions from every healthcare level. Application of machine learning techniques from the omics field to clinical patient data will result in new pipelines for translational science. The project objective is to deliver three clinical models: a symptom checker for patients; a support tool for healthcare providers, guiding additional examination and referrals; and a patient comparison network for optimisation of diagnostic groups and treatment decisions.
Objective
Globally 1.Globally 1.71 billion people have musculoskeletal symptoms, the leading contributor to disability. Early disease stratification is important to ensure appropriate care (most suited healthcare provider and best treatment choice). Currently the patient journey to diagnosis and effective treatment is long and inefficient, resulting in persistent disease burden and economical loss. This is due to insufficiently understood relations disease causes and similarities in symptoms between diseases, insufficiently distinguishing tests, trial and error approach in initial treatment.
SPIDeRR aims to disentangle the real-life complexity of early diagnosis of rheumatic diseases by considering the complete web of factors influencing patients’ symptoms. SPIDeRR’s approach will go well beyond the state-of-the-art in the following ways:
- By identifying different disease groups, requiring different therapies, amongst patients with similar symptoms in contrast to the traditional approach aiming to only capture one disease early.
- By integrating all relevant data dimensions from every healthcare level (primary and secondary care and patients seeking advice online).
- By translating and applying machine learning techniques from the “omics” field to clinical patient data, which will result in new pipelines for translational data science
SPIDERR will deliver three clinical models
-a symptom checker for patients
-a decision support tool for (primary) care providers providing guiding additional examination and referral decisions
-a patient-patient similarity network to optimise diagnostic groups in rheumatology and support treatment decision
To achieve this we additionally deliver solutions for data integration and shared analyses though GDPR compliant digital research environment and federated learning pipelines.
Finally we will test the acceptability of the models through stakeholders studies and provide an implementation scene tailored to current healthcare in Europe.
Fields of science
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Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
2333 ZA Leiden
Netherlands
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Participants (19)
Participation ended
91054 Erlangen
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17177 Stockholm
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28046 MADRID
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
28003 Madrid
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
28040 Madrid
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
28006 Madrid
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
28007 Madrid
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
28046 Madrid
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1056 AA AMSTERDAM
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111 24 Stockholm
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2628 CN Delft
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79111 FREIBURG
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16816 Neuruppin
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28039 Madrid
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
115 27 Athina
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1101CT Amsterdam
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3015 GD Rotterdam
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91054 Erlangen
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35037 Marburg
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Partners (4)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
NE1 7RU Newcastle Upon Tyne
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
NE4 6DB NEWCASTLE UPON TYNE
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1085 Budapest
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
M13 9PL Manchester
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