Results 191 to 200 of about 55,169 (227)

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

Scalable Platform Enabling Reservoir Computing With Nanoporous Oxide Memristors for Image Recognition and Time Series Prediction

Advanced Intelligent Systems, EarlyView.
The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald, Ben A. Johnson, Amir Mehrnejat, Alex Gabbitas, Arthur G. T. Coveney, Alexander G. Balanov, Sergey Savel’ev, Pavel Borisov   +7 more
wiley   +1 more source

MusicSwarm: Biologically Inspired Intelligence for Music Composition

Advanced Intelligent Systems, EarlyView.
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley   +1 more source

Collaborating with transnational families: Learning from the experiences of family caretakers, educators, psychologists, and spiritual leaders in Honduras

American Journal of Community Psychology, EarlyView.
Abstract This manuscript centers on the experiences of caretakers of minors in Honduran transnational families (TNFs) in which one or both parents emigrated, and of the schoolteachers, professional psychologists, and spiritual leaders working with these families.
Marco Gemignani, Yolanda Hernández‐Albújar, Nerea Larrinaga‐Bidegain   +2 more
wiley   +1 more source

Navigating the Post‐BCMA/GPRC5D Landscape: Efficacy of Selinexor, Bortezomib, and Dexamethasone After Sequential Immunotherapy Failure in Penta‐Refractory Multiple Myeloma—A Multicenter Analysis

American Journal of Hematology, EarlyView.
ABSTRACT Patients with relapsed/refractory multiple myeloma (RRMM) who are penta‐drug refractory, defined as resistant to two proteasome inhibitors, two immunomodulatory agents, and an anti‐CD38 monoclonal antibody, face a dismal prognosis, particularly after exposure to T‐cell–redirecting therapies.
Maximilian Al‐Bazaz, Winfried Alsdorf, Lisa Leypoldt, Piet Sonnemann, Christoph Schaefers, Jule Artzenroth, Marie Harzer, Abdulaziz Kamili, Leandra Bartke, Leon Cords, Jan Vorwerk, Theo Leitner, Markus Maulhardt, Kerstin Brinkert, Annamaria Brioli, Tim Richardson, Udo Holtick, Stefan M. Hillmann, Hans Salwender, Cyrus Khandanpour, Carsten Bokemeyer, Katja Weisel, Ricardo Kosch   +22 more
wiley   +1 more source

Porcine kidney xenotransplantation: From primate models to clinical reality

Animal Models and Experimental Medicine, EarlyView.
In the face of a critical shortage of human donor kidneys for end‐stage renal disease patients, porcine kidney xenotransplantation has emerged as a viable solution. This field has navigated major hurdles, including immune rejection, physiological incompatibilities, potential biomechanical differences and the risk of cross‐species infection. To overcome
Zihang Guo, Ling Zhang, Shoulong Deng, Chuan Qin   +3 more
wiley   +1 more source