Evidence record 16575 · automatically gathered

A Physics-Flavored Transformer Network for Parametrizing Contraction Dynamics of Engineered Skeletal Muscle Tissues

Engineered Skeletal Muscle Tissues (ESMs) have become a key structure for biomedical disease modeling and pharmacological screening, yet their functional characterization often relies on simplistic metrics like peak force, discarding critical kinetic information. This is partially due to the high level of mathematical complexity which mechanistic models introduce to capture these dynamics. Hence, exactly the complexity prevents scalable application and widespread adaptation in the field. Here we

Record details

Published: 4 August 2026
Source: arXiv cs.LG
Category: Research
Topics: Biotech
Retrieved: 5 August 2026

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ethics.ai (4 August 2026), “A Physics-Flavored Transformer Network for Parametrizing Contraction Dynamics of Engineered Skeletal Muscle Tissues,” evidence record 16575, https://ethics.ai/record/16575 (originally published by arXiv cs.LG).

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