Record #288501 - DZNEPUB

MechVivo

Mechanical characterization of soft tissue in vivo by microstructural imaging and physics-informed neural networks: bridging the gap between biomechanics and clinical practice

Grant period	2025-09-01 - 2031-08-31
Funding body	European Union
	CORDIS
Call number	ERC-2024-SyG
Grant number	101167207
Identifier	G:(EU-Grant)101167207

Note: Advancing biomechanics for better diagnostics. Computational biomechanics holds great promise for improving patient care, but its full potential remains untapped. A key challenge is the lack of precise, patient-specific data on the mechanical properties of biological tissues. Current methods provide only partial insights. This hinders the integration of computational biomechanics into clinical practice. The ERC-funded MechVivo project aims to break this barrier by developing a revolutionary method to infer mechanical properties of soft tissues in vivo. Combining MRI, experimental biomechanics and physics-informed machine learning, the project will extract tissue properties from MRI scans and blood samples, paving the way for more accurate diagnoses (starting with heart failure with preserved ejection fraction).

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Record created 2026-08-11, last modified 2026-08-11

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