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A monocusp valve can prevent pulmonary regurgitation; however, valve failure resulting from factors including leaflet design, morphology, and immune response can occur, ultimately resulting in pulmonary insufficiency. A multimodal platform to quantitatively evaluate the effect of shape, size, and material on clinical outcomes could optimize monocusp design. This study introduces a benchtop soft biorobotic heart model, a computational fluid model of the RVOT, and a monocusp valve made from an entirely biological cell-assembled extracellular matrix (CAM) to tackle the multifaceted issue of monocusp failure. The hydrodynamic and mechanical performance of RVOT repair strategies was assessed in biorobotic and computational platforms. The monocusp valve design was validated in vivo in ovine models through echocardiography, cardiac magnetic resonance, and catheterization. These models supported assessment of surgical feasibility, handling, suturability, and hemodynamic and mechanical monocusp capabilities. The CAM-based monocusp offered a competent pulmonary valve with regurgitation of 4.6 \u00b1 0.9% and a transvalvular pressure gradient of 4.3 \u00b1 1.4 millimeters of mercury after 7 days of implantation in sheep. The biorobotic heart model, in silico analysis, and in vivo RVOT modeling allowed iteration in monocusp design not now feasible in a clinical environment and will support future surgical testing of biomaterials for complex congenital heart malformations.<\/jats:p>","DOI":"10.1126\/scitranslmed.adk2936","type":"journal-article","created":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T17:58:30Z","timestamp":1720634310000},"update-policy":"https:\/\/doi.org\/10.34133\/aaas_crossmark","source":"Crossref","is-referenced-by-count":9,"title":["Hemodynamic evaluation of biomaterial-based surgery for Tetralogy of Fallot using a biorobotic heart, in silico, and ovine models"],"prefix":"10.1126","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4159-2036","authenticated-orcid":true,"given":"Manisha","family":"Singh","sequence":"first","affiliation":[{"name":"Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02142, 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