Results 111 to 120 of about 12,301 (257)

Pathogenic Role of FGFR3 Autoantibodies in Small Fiber Neuropathy

Advanced Science, EarlyView.
Autoantibodies against fibroblast growth factor receptor 3 (FGFR3) are identified as pathogenic drivers of pain in small fiber neuropathy. By binding to sensory neurons in dorsal root ganglia, FGFR3 autoantibodies activate MAPK signaling and induce hyperexcitability and mechanical hypersensitivity, establishing FGFR3 autoantibodies as a therapeutic ...
Lyuba Y. Salih, Nicolas L.A. Dumaire, Clémence Gieré, Erin Vest, Haya Alkhateeb, Christian P. Moritz, Yannick Tholance, Jean‐Philippe Camdessanché, Jean‐Christophe Antoine, Jérôme Honnorat, Jafar Kafaie, Liberty François‐Moutal, Aubin Moutal   +12 more
wiley   +1 more source

Integrating Atomistic Insights With Circuit Simulations via Transformer-Driven Symbolic Regression

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
This article introduces a framework that establishes a cohesive link between the first principles-based simulations and circuit-level analyses using a machine learning-based compact modeling platform.
Md Rahatul Islam Udoy, Jack Hutchins, Shamiul Alam, Catherine Schuman, Ahmedullah Aziz   +4 more
doaj   +1 more source

Diffusion-Based Symbolic Regression

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 ...
Bastiani, Zachary, Kirby, Robert M., Hochhalter, Jacob, Zhe, Shandian   +3 more
openaire   +2 more sources

Heuristically Adaptive Diffusion‐Model Evolutionary Strategy

Advanced Science, EarlyView.
Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl, Yanbo Zhang, Hananel Hazan, Michael Levin   +3 more
wiley   +1 more source

Memetic semantic boosting for symbolic regression

Genetic Programming and Evolvable Machines
Abstract This paper introduces a novel approach called semantic boosting regression (SBR), leveraging the principles of boosting algorithms in symbolic regression using a Memetic Semantic GP for Symbolic Regression (MSGP) algorithm as weak learners.
Leite, Alessandro, Schoenauer, Marc
openaire   +1 more source

rWTC‐MBTA Vaccine, Alone and Enhanced with Anti‐PD1, Elicits Immune Responses against CNS and Peripheral B‐Cell Lymphoma

Advanced Science, EarlyView.
An autologous whole‐tumor‐cell vaccine (rWTC‐MBTA) is evaluated in murine CNS lymphoma. Subcutaneous vaccination activates dendritic cells, broadens T‐cell priming, and drives lymphocyte trafficking to brain tumors, producing durable tumor control. Longitudinal bioluminescence and adoptive‐transfer assays verify CNS engagement. Combination with anti‐PD‐
Yaping Zhang, Juan Ye, Mitchell Sun, Samik Chakraborty, Alex Valenzuela, Shuran Chen, Qingfeng Xue, Wenyu Shi, Karel Pacak, Herui Wang, Zhengping Zhuang   +10 more
wiley   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source

Endocytic Control of Cell‐Autonomous and Non‐Cell‐Autonomous Functions of p53

Advanced Science, EarlyView.
NUMB Ex3‐containing isoforms localize to the plasma membrane, where they recruit p53 through SNX9 and direct it to multivesicular bodies and exosomes. Exported p53 is taken up by neighboring cells and activates nuclear programs, revealing an intercellular, exosome‐based pathway that might help establish a tumor‐suppressive microenvironment.
Roberta Cacciatore, Andrea Basile, Stefano Freddi, Irene Schiano Lomoriello, Carlo Ribelle Zucca, Giuseppe Ciossani, Luigi Scietti, Alessandro Cuomo, Simona Ronzoni, Simone Pelicci, Mario Faretta, Elena Zaccheroni, Giuliana Pelicci, Vittoria Matafora, Angela Bachi, Rosalind Helen Gunby, Salvatore Pece, Sara Sigismund, Letizia Lanzetti, Ivan Nicola Colaluca, Pier Paolo Di Fiore   +20 more
wiley   +1 more source

Physically interpretable interatomic potentials via symbolic regression and reinforcement learning

npj Computational Materials
The development of next-generation molecular simulation models requires moving beyond predefined functional forms toward machine learning (ML) techniques that directly capture multiscale physics.
Bilvin Varughese, Troy D. Loeffler, Suvo Banik, Aditya Koneru, Sukriti Manna, Karthik Balasubramanian, Rohit Batra, Mathew J. Cherukara, Orcun Yildiz, Tom Peterka, Bobby G. Sumpter, Subramanian K.R.S. Sankaranarayanan   +11 more
doaj   +1 more source

Dimensionally Constrained Symbolic Regression

, 2011
We describe dimensionally constrained symbolic regression which has been developed for mass measurement in certain classes of events in high-energy physics (HEP). With symbolic regression, we can derive equations that are well known in HEP. However, in problems with large number of variables, we find that by constraining the terms allowed in the ...
openaire   +2 more sources