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Ellen Kuhl on Muck Rack

Ellen Kuhl

As seen in: Nature, Wiley Online Library, arXiv, Educational Studies, MDPI, BioRxiv, Cell Press, Physical Review B, Physical Review Letters
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Articles

Biophysical modeling of anatomically realistic prenatal cortical folding development

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By Jixin Hou, Zhengwang Wu, Kun Jiang, Taotao Wu, Lu Zhang, Dajiang Zhu, Wei Gao, Mir Jalil Razavi, Tianming Liu, Ellen Kuhl, Xianqiao Wang
| Nature Verified
Abstract Cortical folds encode the architecture of human cognition, yet the mechanisms that transform the smooth fetal cortex into its convoluted geometry remain elusive. Biophysical modeling enables mechanistic insight into cortical morphogenesis, but existing models often lack anatomical realism and fail to capture key hallmarks and morphometrics of dynamic cortical folding in the developing human brain.
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Artificial intelligence for food innovation

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By Bianca Datta, Markus J. Buehler, Yvonne H. Chow, Kristina Gligorić, Dan Jurafsky, DAVID KAPLAN, Rodrigo Ledesma-Amaro, Lisa Neidhardt, Karim Pichara, Benjamin Sanchez-Lengeling, Miek Schlangen, Ilias Tagkopoulos, Anna Thomas, Nik Watson, Ellen Kuhl, Giorgia Del Missier, Skyler R. St. Pierre
| Nature Verified
Abstract Global food systems must deliver nutritious, sustainable foods while sharply reducing environmental impact. Yet, food innovation remains slow, empirical and fragmented. Artificial intelligence (AI) offers a transformative path to link molecular composition to functional performance, connect chemical structure to sensory outcomes and accelerate cross-disciplinary innovation across the production pipeline.
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Generative artificial intelligence creates delicious, sustainable, and nutritious burgers

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By Vahidullah Taç, Christopher Gardner, Ellen Kuhl
| Nature Verified
Abstract Food choices shape both human and planetary health; yet, designing foods that are delicious, nutritious, and sustainable remains challenging. Here we show that generative artificial intelligence can learn the structure of the human palate directly from large-scale, human-generated recipe data to create novel foods within a structured design space.
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