Results 131 to 140 of about 7,297,432 (370)

Priorities to accelerate workflow automation in health care

J. Am. Medical Informatics Assoc., 2022
Teresa Zayas-Cabán, Tracy H. Okubo, Steven Posnack   +2 more
semanticscholar   +1 more source

Amide‐Linked Local Anesthetics Alter Tumor Biology in a Complex Human Tissue Model of Non‐Small Cell Lung Adenocarcinoma

Advanced Biology, EarlyView.
Amide local anesthetics (LA) affect tumor burden in various preclinical studies, possibly via their anti‐inflammatory properties. However, a translation into clinical evidence is still lacking. The current study demonstrates that LA ‐ even at clinically relevant concentrations – exert a strong anti‐tumoral effect in a complex ex vivo model patient ...
Juliane Krömer, Sebastian Krämer, Ngoc Anh Hoang, Doreen Sittig, Isabella Metelmann, Uta‐Carolin Pietsch, Sebastian N. Stehr, Sonja Kallendrusch, Tobias Piegeler   +8 more
wiley   +1 more source

Development and validation of a variant detection workflow for BRCA1 and BRCA2 genes and its clinical application based on the Ion Torrent technology [PDF]

, 2017
Ana Lígia Buzolin, Caroline Mônaco Moreira, Patricia Rossi Sacramento, Andre Yuji Oku, Alexandre Ricardo dos Santos Fornari, David Santos Marco Antônio, Caio Robledo D’Angioli Costa Quaio, Wagner Antonio da Rosa Baratela, Miguel Mitne‐Neto   +8 more
openalex   +1 more source

A Spatially Resolved View on the Aging Substantia nigra: An Exploratory Proteomic Study

Advanced Biology, EarlyView.
Although aging is the most important risk factor for several neurodegenerative diseases, the molecular effects of physiological aging are still understudied. By applying spatially‐resolved proteomic analyses of the human substantia nigra pars compacta, alterations in vesicular trafficking and mitochondrial proteins are observed, as well as reduced ...
Britta Eggers, Maximilian Hausherr, Michel Lim, Karin Schork, Bilhan Karacora, Robin Grugel, Martin Eisenacher, Isabel Gil Aldea, Peter Riederer, Manfred Gerlach, Katrin Marcus   +10 more
wiley   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

HiFiBGC: an ensemble approach for improved biosynthetic gene cluster detection in PacBio HiFi-read metagenomes

BMC Genomics
Background Microbes produce diverse bioactive natural products with applications in fields such as medicine and agriculture. In their genomes, these natural products are encoded by physically clustered genes known as biosynthetic gene clusters (BGCs ...
Amit Yadav, Srikrishna Subramanian
doaj   +1 more source

Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows [PDF]

, 2018
Helge Aasen, Eija Honkavaara, Arko Lucieer, Pablo J. Zarco‐Tejada   +3 more
openalex   +1 more source

Developing a technology enabled workflow to aid space layout communication for students with Autism Spectrum Disorder - A project case study

, 2021
David Comiskey, Josephine McGoldrick, Shauna Donnelly   +2 more
openalex   +2 more sources

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

SAW: an efficient and accurate data analysis workflow for Stereo-seq spatial transcriptomics

GigaByte
The basic analysis steps of spatial transcriptomics require obtaining gene expression information from both space and cells. The existing tools for these analyses incur performance issues when dealing with large datasets.
Chun Gong , Shengkang Li , Leying Wang , Fuxiang Zhao , Shuangsang Fang , Dong Yuan , Zijian Zhao , Qiqi He , Mei Li , Weiqing Liu , Zhaoxun Li , Hongqing Xie , Sha Liao , Ao Chen , Yong Zhang , Yuxiang Li , Xun Xu   +16 more
doaj   +1 more source