Objective
BIOWELD-AI introduces a breakthrough in soft-tissue surgery by creating an intelligent electrosurgical system capable of recognising tissue type in real time and autonomously controlling energy delivery. Unlike traditional energy platforms that operate on fixed algorithms, depend on the surgeon’s experience, and often lead to variable outcomes and thermal damage, BIOWELD-AI enables a predictable and standardised welding/coagulation process.
The project develops Dr.Nic 2.0 — a next-generation soft-tissue welding platform that combines a high-speed sensor module with machine-learning algorithms trained on ≥10,000 structured clinical-technical parameterised cases. These cases are collected during real surgical procedures, where each operation generates around 100 individual welding/coagulation signal cycles. The system analyses these signals with microsecond precision, identifies tissue type and condition, and automatically selects or adjusts the optimal energy mode. This effectively transforms Dr.Nic 2.0 into a digital surgical assistant that enhances precision, reduces complications, and ensures reproducible results.
The project objectives are to: build a large, structured dataset of clinical-technical cases for AI training; develop and validate a real-time tissue-recognition algorithm with ≥95% accuracy; integrate the AI module into the commercial Dr.Nic 2.0 hardware platform; conduct clinical and economic validation; prepare regulatory documentation and ensure readiness for entry into EU markets.
The work will be carried out through a coordinated R&D programme combining data engineering, algorithmic development, hardware integration, and collaboration with leading Ukrainian clinical centres.
BIOWELD-AI fully aligns with the goals of the UkrainianTech call, accelerating the entry of high-tech Ukrainian medical innovation into EU markets and strengthening Europe’s resilience in critical health technologies. The project delivers a clinically relevant, s
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
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HORIZON.3.1.3 - Additional EIC activities
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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-EIC - HORIZON EIC 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) HORIZON-EIC-2025-UKRAINIANTECH-01
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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.
08205 Irpin
Ukraine
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.