Objective
Fragility fractures and osteoporosis erode independence and drive healthcare costs. Muscle activity supports bone through mechanical strain and myokines such as irisin, but current models cannot separate these signals or recombine them with the precision needed to design effective, human-relevant regimens. What is missing is a platform that can measure, predict, and actively steer osteogenesis.
BONE-TUNE builds that link. It develops a human muscle-bone organoid-on-a-chip where mechanical loading and muscle-derived biochemical cues are delivered either independently or synchronised, while a bone microtissue reports its state in real time. It integrates optogenetic muscle rings for light-controlled contractions and a biodegradable, microstructured bone microtissue under perfusion to enhance biological fidelity. Using calibrated inputs and live readouts, a compact computational model is trained to translate any candidate “exercise recipe” into a single osteogenic index. The model then closes the loop, automatically adjusting loading and myokine pulses to hold the tissue in an anabolic window as properties evolve, an adaptive “exercise machine on a chip.”
The objectives are to quantify how muscle-derived strain and myokines act alone and together; to deliver a validated guidance tool that predicts outcomes for unseen regimens and yields a mechanics×myokines×timing response map; and to demonstrate real-time control that outperforms the best open-loop schedule. Outputs include a reusable chip and dataset, open software with look-ups from target strain to actuator settings, and practical dosing rules, including rest, that rehabilitation and preclinical teams can test.
By shifting mechanobiology from description to prescription, BONE-TUNE provides human-relevant, model-guided mechanotherapy protocols, helps reduce exploratory animal use in line with the 3Rs, and accelerates progress toward smarter rehabilitation and exercise–drug regimens to curb bone loss.
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
- medical and health sciences clinical medicine physiotherapy
- engineering and technology other engineering and technologies microtechnology organ on a chip
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Topic(s)
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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.
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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-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2025-PF
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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.
8092 Zuerich
Switzerland
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