SOURCE-LINKED INTELLIGENCE

Evolving Organs-on-Chip from developmental engineering to “mechanical re-evolution”

CORDIS · observation · Publication date unknown

native-inspired mechanical forces to tissues in vitro; “Sense” – to monitor their comprehensive effect on tissue development; “Adapt” – to modulate forces as a function of tissue responses through machine learning (ML)-based algorithms, towards an unsupervised tissue evolution. I will take advantages of two paradigmatic test-cases (cartilage and heart) to showcase the power of mechanical re-evolution in guiding in vitro tissue physiological and pathological states, towards the identification of a brand-new class of mechanotherapeutics for unmet pathologies. By combining principles of microfabrication, DE, mechanobiology and ML, EvOoC will revolutionize basic studies in tissue development and disease modeling, facilitating innovative translational strategies to tackle tissue repair in manifold applications. organs-on-chip, developmental engineering, tissue engineering, cartilage engineering, cardiac tissue engineering, disease modelling, actuators, integrated sensors, machine learning

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recordType

award

status

SIGNED

region

EU

value

2430625

unit

EUR