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Explore the fascinating world of chiral processes and tissue mechanics in this 53-minute conference talk that bridges microscopic and macroscopic chirality across multiple scales. Discover how subcellular forces generate tissue-scale flows through a comprehensive examination of dynamic chirality transfer, combining theoretical frameworks, experimental observations, and cutting-edge inference algorithms. Learn about the distinctive properties of microscopic graph models and odd viscoelasticity, including inhomogeneous cell proliferation and nonreciprocal dynamics that cannot be expressed as energy gradients. Understand the development and application of the nudged automatic differentiation algorithm (NADA), a novel computational approach designed to handle large fluctuations in cell positions from single snapshot data despite noise and high-dimensional complexity. Examine how this data-calibrated microscopic model quantitatively captures proliferation-driven tissue flows observed at large scales through experimental validation. Gain insights into the broader applications of this inference algorithm for extracting interpretable graph models from limited, noisy data in various cellular systems, including networks of convection cells and flowing foams, demonstrating the interdisciplinary nature of modern biophysics research.
