Objective
Anxiety disorders are among the most prevalent mental health conditions, affecting more than 40 million persons in the EU alone and causing a major socioeconomic burden. Current diagnostic assessment relies on subjective self-report and clinician interpretation, resulting in diagnostic imprecision, cultural bias, lengthy procedures, and limited scalability. The NOVA project addresses this critical gap by developing an innovative, objective, non-verbal, transdiagnostic and scalable assessment tool using immersive virtual reality (VR) and state-of-the-art behavioural analytics. Based on ERC-funded research, NOVA simulates biologically relevant threat situations in VR to elicit naturalistic behaviours. These behaviours are recorded via high-resolution motion capture and analysed using cutting-edge machine learning techniques to extract diagnostic and prognostic features. NOVA will now test this approach in a proof-of-concept clinical study involving 100 patients with various anxiety disorders and 40 healthy controls, aiming to identify robust behavioural markers within and across traditional diagnostic categories. NOVA seeks to provide a scalable, fully automated, language-independent, and objective solution for assessing anxiety disorders across cultures and settings. This will benefit patients, clinicians, and healthcare providers. NOVA also holds commercial potential through patentable behavioural analytics, paving the way for future digital innovations in mental health care.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software software applications virtual reality
- medical and health sciences clinical medicine psychiatry anxiety disorders
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2026-POC
See all projects funded under this callHost institution
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.
53113 Bonn
Germany
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.