Results 81 to 90 of about 13,019 (261)

Dimension Reduction for Symbolic Regression

Proceedings of the AAAI Conference on Artificial Intelligence
Solutions of symbolic regression problems are expressions that are composed of input variables and operators from a finite set of function symbols. One measure for evaluating symbolic regression algorithms is their ability to recover formulae, up to symbolic equivalence, from finite samples.
Paul Kahlmeyer, Markus Fischer 0005, Joachim Giesen   +2 more
openaire   +2 more sources

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review

Advanced Functional Materials, EarlyView.
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera, Chiranjeevi Kanike, Appurva Tiwari, Hongyan Wu, Larry D. Unsworth, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +1 more source

Diffusion-Based Symbolic Regression

CoRR
Diffusion has emerged as a powerful framework for generative modeling, achieving remarkable success in applications such as image and audio synthesis. Enlightened by this progress, we propose a novel diffusion-based approach for symbolic regression. We construct a random mask-based diffusion and denoising process to generate diverse and high-quality ...
Zachary Bastiani, Robert M. Kirby, Jacob D. Hochhalter, Shandian Zhe   +3 more
openaire   +2 more sources

Flash Assembloids: A Rapid Biofabrication of a Platform for Modeling Early Glioblastoma Invasion at the Glioblastoma–Brain Organoid Interfaces

Advanced Healthcare Materials, EarlyView.
This study presents a bioengineered assembloid (ASM) system combining glioblastoma (GBM) cells in oxidized alginate (OA) microgels with dorsal organoids (DOs). This model simulates brain tumor‐host interactions, revealing enhanced GBM invasion, altered gene expression, and aggressive infiltration patterns, demonstrating ASM as a valuable platform for ...
Chao Liang, Henry Robert Howard, Shihui Chen, Won‐Young Choi, Summer Cao, Arthur Chien, Kevin Zou, Michael Kassiou, Fabien Delerue, Ho Sang Jung, Yeonju Park, Young Mee Jung, Yong‐Dae Kwon, Karrie M. Kiang, Gilberto Ka‐Kit Leung, Ryohichi Sugimura, Ann‐Na Cho, Sang Jin Lee   +17 more
wiley   +1 more source

Decomposable Neuro Symbolic Regression

CoRR
Symbolic regression (SR) models complex systems by discovering mathematical expressions that capture underlying relationships in observed data. However, most SR methods prioritize minimizing prediction error over identifying the governing equations, often producing overly complex or inaccurate expressions.
Giorgio Morales, John W. Sheppard
openaire   +2 more sources

Enhanced Human Antigen‐Specific B Cell Responses Using In Vitro 3D Tonsil Cultures Containing Stromal Cells

Advanced Healthcare Materials, EarlyView.
We developed a fully human 3D tonsil cell culture system incorporating supportive stromal cells that better sustains and activates immune cells than conventional methods. The model generates stronger, more targeted antibody responses to viral antigens and vaccines, providing a physiologically relevant and entirely human platform for studying immune ...
Maaike V. J. Braham, Marlon de Gast, Liubov Babii, Sabine Kruijer, Theo M. Bestebroer, Mathilde Richard, Mathieu Claireaux, S. Marieke van Ham, Jelle de Wit, Cécile A. C. M. van Els, Anja ten Brinke, Marit J. van Gils   +11 more
wiley   +1 more source

Multidimensional Cellular Micro‐Compartments to Model Invasive Lobular Carcinoma Dormancy

Advanced Healthcare Materials, EarlyView.
Invasive lobular carcinoma (ILC) is an understudied subtype of breast cancer that is susceptible to late recurrences. In this study, micro‐compartmentalization techniques spanning multiple dimensions, including 2D, pseudo‐3D, and 3D, are integrated to uncover the mechanisms underlying ILC dormancy, revealing the central role of p27Kip1.
Xilal Y. Rima, Sarmila Majumder, Divya S. Patel, Chunyu Hu, Hong Li, Xin Huang, Kim Truc Nguyen, Jacob Doon‐Ralls, Chiranth K. Nagaraj, Mangesh D. Hade, Setty M. Magaña, Eswar Shankar, Xiaoli Zhang, Daniel G. Stover, Bhuvaneswari Ramaswamy, Eduardo Reátegui   +15 more
wiley   +1 more source

A Versatile Microfluidic Extrusion‐Based Hydrogel Platform for Self‐Organization and Long‐Term Maintenance of Engineered 3D Lymphatic Endothelium

Advanced Healthcare Materials, EarlyView.
Microfluidic coaxial extrusion generates size‐controlled 3D lymphatic tubes from primary human dermal lymphatic endothelial cells in a defined four‐component matrix. These engineered vessels self‐organize into stable lymphatic endothelium, maintain selective macromolecular permeability for 30 days, and enable direct comparison with blood endothelial ...
Elsa Mazari‐Arrighi, Adeline Boyreau, Laura Chaillot, Wilfried Souleyreau, Laetitia Andrique, Pierre‐Olivier Guichet, Thomas Mathivet, Andreas Bikfalvi, Pierre Nassoy   +8 more
wiley   +1 more source

Inferring interpretable models of fragmentation functions using symbolic regression

Machine Learning: Science and Technology
Machine learning is rapidly making its path into the natural sciences, including high-energy physics. We present the first study that infers, directly from experimental data, a functional form of fragmentation functions.
Nour Makke, Sanjay Chawla
doaj   +1 more source