Predicting brain morphogenesis via physics-transfer learning.
PubMed / NCBI E-utilities · 学术索引收录 · 来源发布：Wed Sep 09 2026 00:00:00 GMT+0000 (Coordinated Universal Time) · 本站收录：Thu Oct 08 2026 09:08:08 GMT+0000 (Coordinated Universal Time)
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Brain morphology emerges from the interplay of genetic programming and mechanical forces, yet its fractal-like folding patterns make quantitative analysis and prediction difficult, especially when labeled data are scarce. Here we introduce a theory-grounded physics-transfer learning framework that enables generalization analysis and prediction in complex physical systems by leveraging consistent g
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