Computational models for new patient stratification strategies

Call Updates

Sep 22, 2022 5:17:03 PM

Second stage of call HORIZON-HLTH-2022-TOOL-12-two-stage closed on 6 September 2022.

• 31 proposals have been submitted under topic HORIZON-HLTH-2022-TOOL-12-01-two-stage.

Evaluation results are expected to be communicated on Friday 9 December 2022 at the earliest.

Jun 24, 2022 12:22:37 PM

Please consult the "Call updates" section for generalised feedback after stage 1.

Jun 24, 2022 12:22:37 PM

In order to best ensure equal treatment, successful stage 1 applicants do not receive the evaluation summary reports (ESRs) for their proposals, but this generalised feedback with information and tips for preparing the full proposal.

Information & tips

Main suggestions to stage 2 applicants:

• The proposal should address all the individual sub-criteria under in the appropriate section of the proposal. The methodology, current state of the art and – where relevant – use of AI should be clearly described.
• The quality of data and standards should be emphasised.
• If your proposal contains clinical studies, please read carefully the definition and guidance on the template ‘Information on clinical studies' published on the call page in the Participant Portal (https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/temp-form/af/information-on-clinical-studies_he_en.docx) and remember to upload the template filled in when submitting your proposal.

In your stage 2 proposal, you have a chance to address or clarify these issues. Please bear in mind that your full proposal will now be evaluated more in-depth and possibly by a new group of outside experts.

Please make sure that your full proposal is consistent with your short outline proposal. It may NOT differ substantially. The project must remain the same.

Jun 2, 2022 4:57:50 PM

Evaluation results for the second stage are expected to be communicated on Friday 9 December 2022 at the earliest.

May 25, 2022 4:52:41 PM

In accordance with General Annex D of the Work Programme, the evaluation of the first-stage proposals was made looking only at the criteria 'excellence' and 'impact'. The threshold for both individual criteria is 4.

The overall threshold applying to the sum of the two individual scores was set at a level that ensures the total requested budget of proposals admitted to stage 2 is as close as possible to three times the available budget, and not less than two and a half times the available budget, and is as follows:

• HORIZON-HLTH-2022-TOOL-12-01-two-stage: Overall threshold applied is 9,0

The results of the evaluation are:

• Number of proposals submitted (including proposals transferred from or to other calls): 154
• Number of inadmissible proposals: 0
• Number of ineligible proposals: 0
• Number of above-threshold proposals: 32
• Total budget requested for above-threshold proposals: EUR 190.249.663,55

Feb 8, 2022 4:45:29 PM

Call HORIZON-HLTH-2022-TOOL-12-two-stage closed on 1 February 2022. 154 proposals have been submitted. The breakdown per topic is:

• HORIZON-HLTH-2022-TOOL-12-01-two-stage: 154 proposals  

Evaluation results are expected to be communicated on Friday 20 May 2022 at the earliest.

Oct 6, 2021 12:00:00 AM

The submission session is now available for: HORIZON-HLTH-2022-TOOL-12-01-two-stage(HORIZON-RIA)

Computational models for new patient stratification strategies

TOPIC ID: HORIZON-HLTH-2022-TOOL-12-01-two-stage

Programme: Horizon Europe Framework Programme (HORIZON)
Call: Tools and technologies for a healthy society (two-stages - 2022) (HORIZON-HLTH-2022-TOOL-12-two-stage)
Type of action: HORIZON-RIA HORIZON Research and Innovation Actions
Type of MGA: HORIZON Action Grant Budget-Based [HORIZON-AG]
Deadline model: two-stage
Planned opening date: 06 October 2021
Deadline dates: 01 February 2022 17:00:00 Brussels time | 06 September 2022 17:00:00 Brussels time

Topic description

ExpectedOutcome:

This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination 5 “Unlocking the full potential of new tools, technologies and digital solutions for a healthy society”. To that end, proposals under this topic should aim for delivering results that are directed, tailored and contributing to some of the following expected outcomes:

• Clinical researchers use effective health data integration solutions for the classification of the clinical phenotypes.
• Researchers and/or health care professionals use robust and validated data-driven computational tools to successfully stratify patients.
• Regulatory bodies approve computer-aided patient stratification strategies to enable personalised diagnosis and/or personalised therapy strategies.
• Health care professionals adopt evidence-based guidelines for stratification-based patient management superior to the standard-of-care.

Scope:

In the era of big and complex data, the challenge remains to make sense of the huge amount of health care research data. Computational approaches hold great potential to enable superior patient stratification strategies to the established clinical practice, which in turn are a prerequisite for the development of effective personalised medicine approaches.

The proposals may include a broad range of solutions, such as computational disease models, computational systems medicine approaches, machine-learning algorithms, Virtual Physiological Human, digital twin technologies and/or their combinations, as relevant. The topic covers different stages in the continuum of the innovation path (i.e. translational, pre-clinical, clinical research, validation in the clinical and real-world setting, etc.), as relevant to the objectives of the proposals.

The topic will support the development of the computational models driven by the end users' needs.

Proposals should address several of the following areas:

• Establish interdisciplinary research by bridging disciplines and technologies (disease biology, clinical research, data science, -omics tools, computational and mathematical modelling of diseases, advanced statistical and/or AI/machine learning methods, Virtual Physiological Human and/or digital twin technologies).
• Develop new computational models for the integration of complex health data from multiples sources, including structured and unstructured data.
• Develop and optimise robust, transparent and accurate computational models to guide patient stratification strategies for improving clinical outcomes.
• Demonstrate, test and clinically validate such models with respect to their utility to realistically stratify patients with the aim of improving the standard-of-care.
• The development of new patient stratification strategies guided by computational models and the validation of the new concepts of stratification in pre-clinical and/or clinical studies.

The proposals should adhere to the FAIR data[1] principles, adopt data quality standards, data integration operating procedures and GDPR-compliant data sharing/access good practices developed by the European research infrastructures, wherever relevant. In addition, proposals are encouraged to adopt good practices of international standards used in the development of computational models, and make available the tools and solutions developed early. Proposals aiming to develop computational models of high technology readiness level are encouraged to deliver a plan for the regulatory acceptability of their technologies. Early interaction with the relevant regulatory bodies is recommended (i.e. the EMA qualification advice for new technologies, etc.) for the proposals contributing to the development of new medicinal products, improvement of the effectiveness of marketed products and the development of medical devices. The proposals aiming to validate their models as high-risk medical devices in the relevant clinical environment are encouraged to deliver a certification implementation plan.

All projects funded under this topic are strongly encouraged to participate in networking and joint activities, as appropriate. These networking and joint activities could, for example, involve the participation in joint workshops, the exchange of knowledge, the development and adoption of best practices, or joint communication activities. This could also involve networking and joint activities with projects funded under other clusters and pillars of Horizon Europe, or other EU programmes, as appropriate. Therefore, proposals are expected to include a budget for the attendance to regular joint meetings and may consider to cover the costs of any other potential joint activities without the prerequisite to detail concrete joint activities at this stage. The details of these joint activities will be defined during the grant agreement preparation phase. In this regard, the Commission may take on the role of facilitator for networking and exchanges, including with relevant stakeholders, if appropriate. In addition, the proposals will be encouraged to exchange with other successful proposals developing AI algorithms and in silico models under other relevant topics.

Cross-cutting Priorities:
EOSC and FAIR data

[1]FAIR data are data, which meet principles of findability, accessibility, interoperability, and reusability.