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Model systems and integration strategies to capture human biology.
Nature materials · · Review
Chörsi, Sayed + more
Abstract ↗AI summary
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No current human model platform fully closes the loop between sensing, tissue modelling, computational calibration, and feedback-guided intervention, limiting boundary-level biology studies.
- Why it matters: Key responses often arise at interfaces where matrix, immune, and systemic signals converge, and conventional in vitro and animal approaches still fall short there.
- What they did: The Review integrates engineered materials, organoids/assembloids/microphysiological systems, and computational models, emphasizing benchmarking, vascularization, immune integration, maturation, reproducibility, and donor variation.
- The result: Combining these approaches is positioned to better organize measurements, test mechanisms, and improve prediction, while highlighting the need to justify model complexity by the human question.
The findingWhy it mattersWhat they didThe result
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