Results 81 to 90 of about 238,428 (248)

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

A Split-Luciferase-Based Trimer Formation Assay as a High-throughput Screening Platform for Therapeutics in Alport Syndrome [PDF]

, 2018
Kohei Omachi, Misato Kamura, Keisuke Teramoto, Haruka Kojima, Tsubasa Yokota, Shota Kaseda, Jun Kuwazuru, Ryosuke Fukuda, Kosuke Koyama, Shingo Matsuyama, Keishi Motomura, Tsuyoshi Shuto, Mary Ann Suico, Hirofumi Kai   +13 more
openalex   +1 more source

Clinical Conditions Associated With a High Antinuclear Antibody Titer in Individuals Without Autoimmune Disease

Arthritis Care &Research, EarlyView.
Objective Antinuclear antibodies (ANAs) are present at high titers in 2% of the general population, but their clinical significance in individuals without an autoimmune (AI) disease is not known. We tested the hypothesis that the presence of a high ANA titer in non‐AI conditions is associated with disease.
Matthew Chung, John P. Shelley, Gul Karakoc, John Still, Xiaodi Ruan, Jonathan Mosley, C. Michael Stein, Vivian K. Kawai   +7 more
wiley   +1 more source

High-Throughput Screening of Thiol–ene Click Chemistries for Bone Adhesive Polymers [PDF]

, 2023
Kavya Ganabady, Nicola Contessi Negrini, Jacob C. Scherba, Brandon M. Nitschke, Morgan R. Alexander, Kyle H. Vining, Melissa A. Grunlan, David Mooney, Adam D. Celiz   +8 more
openalex   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Patient-derived organoid elucidates the identical clonal origin of bilateral breast cancer with diverse molecular subtypes

Frontiers in Oncology
Bilateral breast cancer (BBC), an infrequent breast cancer subtype, has primarily been studied in terms of incidence, prognosis, and through comparative analysis of synchronous (SBBC) and metachronous (MBBC) manifestations.
Zhongbin Han, Zhongbin Han, Liangxue Yao, Yanhua Fang, Sijing Chen, Sijing Chen, Ruiqing Lian, Yongqiang Yao, Hongsheng Chen, Xuening Ji, Weiting Yu, Zhe Wang, Ruoyu Wang, Ruoyu Wang, Shanshan Liang   +14 more
doaj   +1 more source

Automated Segmented-Flow Analysis – NMR with a Novel Fluoropolymer Flow Cell for High-Throughput Screening [PDF]

, 2022
Bert Wouters, Paul Miggiels, Roland Bezemer, Elwin A. W. van der Cruijsen, Erik van Leeuwen, John R. Gauvin, Klaartje Houben, Karthick Babu Sai Sankar Gupta, Paul Zuijdwijk, Amy C. Harms, Adriana Carvalho de Souza, Thomas Hankemeier   +11 more
openalex   +1 more source

Micropleated Nanofibrous Filters for High‐Efficiency Submicron Aerosol Filtration: A Comparative Study with Chemical, Biological, Radiological, and Nuclear Gas Mask Filters

Advanced Engineering Materials, EarlyView.
This study presents micropleated filters manufactured by needleless electrospinning. Nanofibers are deposited onto uniaxially pre‐stretched substrates that contract upon release, forming densely packed micropleats. This architecture increases effective surface area without enlarging the filter size, achieving quality factors comparable to those of ...
Aleksandr Fadeev, Kevin Crown, Sean Kinahan, Gabriel Lucero, Hayden Stromsodt, Svetlana Romanova, Yury Salkovskiy   +6 more
wiley   +1 more source

Hyperphosphorylated tau-based Alzheimer’s Disease drug discovery: Identification of inhibitors of tau aggregation and cytotoxicity

SLAS Discovery
Alzheimer’s disease (AD) is a neurodegenerative disorder that affects more than 30 million people worldwide. Underlying the progressive decline of cognitive functions are the neurofibrillary tangles (NFTs) in neurons of the brain.
Hsiao-Tien Hagar, Virneliz Fernandez-Vega, Kuang-Wei Wang, Luis M. Ortiz Jordan, Justin Shumate, Louis Scampavia, April Sweet Tapayan, Hien M Nguyen, Timothy P. Spicer, Min-Hao Kuo   +9 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source