Results 131 to 140 of about 231,965 (320)

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu, Oliver Robinson, Christina M. Lill, Anna Matton, Raquel Puerta, Pilar Sanz, Merce Boada, Agustín Ruiz, Lefkos Middleton, for the Alzheimer's Disease Neuroimaging Initiative   +9 more
wiley   +1 more source

High-Throughput Identification of Candidate Strains for Biopreservation by Using Bioluminescent Listeria monocytogenes

Frontiers in Microbiology, 2018
This article describes a method for high-throughput competition assays using a bioluminescent strain of L. monocytogenes. This method is based on the use of the luminescent indicator strain L. monocytogenes EGDelux.
Sara M. El Kheir, Sara M. El Kheir, Lamia Cherrat, Ahoefa A. Awussi, Nancy E. Ramia, Nancy E. Ramia, Samir Taha, Abdur Rahman, Delphine Passerini, Françoise Leroi, Jeremy Petit, Cécile Mangavel, Anne-Marie Revol-Junelles, Frédéric Borges   +13 more
doaj   +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

Identifying and Prioritizing Chemicals with Uncertain Burden of Exposure: Opportunities for Biomonitoring and Health-Related Research. [PDF]

, 2019
BackgroundThe National Institutes of Health's Environmental influences on Child Health Outcomes (ECHO) initiative aims to understand the impact of environmental factors on childhood disease. Over 40,000 chemicals are approved for commercial use.
(Environmental influences on Child Health Outcomes), Beamer, Paloma I, Bennett, Deborah H, Boyles, Rebecca R, Buckley, Jessie P, Kannan, Kurunthachalam, Pellizzari, Edo D, Wang, Aolin, Woodruff, Tracey J, Zhu, Yeyi   +9 more
core  

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

Newborn Screening Quality Assurance Program for CFTR Mutation Detection and Gene Sequencing to Identify Cystic Fibrosis

Journal of Inborn Errors of Metabolism and Screening, 2016
All newborn screening laboratories in the United States and many worldwide screen for cystic fibrosis. Most laboratories use a second-tier genotyping assay to identify a panel of mutations in the CF transmembrane regulator ( CFTR ) gene.
Miyono M. Hendrix MS, Stephanie L. Foster BS, Suzanne K. Cordovado PhD   +2 more
doaj   +1 more source

A high-throughput screening assay based on automated microscopy for monitoring antibiotic susceptibility of Mycobacterium tuberculosis phenotypes [PDF]

, 2021
Sadaf Kalsum, Blanka Andersson, Jyotirmoy Das, Thomas Schön, Maria Lerm   +4 more
openalex   +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

Inhibitors of Streptococcus pneumoniae Surface Endonuclease EndA Discovered by High-Throughput Screening Using a PicoGreen Fluorescence Assay [PDF]

, 2012
Eliza J. R. Peterson, Dmitri Kireev, A.F. Moon, Marika Midon, William P. Janzen, Alfred Pingoud, Lars C. Pedersen, Scott F. Singleton   +7 more
openalex   +1 more source

Advancing Electronic Application of Coordination Solids: Enhancing Electron Transport and Device Integration via Surface‐Mounted MOFs (SURMOFs)

Advanced Functional Materials, EarlyView.
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu, Christof Wöll, Stefan Bräse   +2 more
wiley   +1 more source