Results 261 to 270 of about 1,240,661 (355)

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

Molecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song, Zhe Wang, Guangji Zhang, Jiangxue Hou, Kaiqi Liu, Shuning Wei, Yan Li, Chunlin Zhou, Dong Lin, Min Wang, Hui Wei, Jianxiang Wang, Tao Cheng, Yingchang Mi   +13 more
wiley   +1 more source

Augmented intelligence with voice assistance and automated machine learning in Industry 5.0. [PDF]

Front Artif Intell
Bousdekis A, Foosherian M, Fikardos M, Wellsandt S, Lepenioti K, Bosani E, Mentzas G, Thoben KD.   +7 more
europepmc   +1 more source

Twitter bot profiling [PDF]

, 2016
Living Analytics Research Centre
core   +1 more source

Recent Advances in Analytical Chemistry [PDF]

, 1949
NULL AUTHOR_ID
openalex   +1 more source

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi, Eric Feng, Nicholas R. Rydzewski, Amy K. Taylor, Jamie M. Sperger, Yue Shi, Kyle T. Helzer, Matthew L. Bootsma, Viridiana Carreno, Alex H. Chang, Luke A. Nunamaker, Grace C. Blitzer, Tianfu Andy Shang, Aishwarya Subramanian, Anders Bjartell, Andreas Josefsson, Pernilla Wikström, Emily Feng, Manish Kohli, Rendong Yang, Scott M. Dehm, Eric J. Small, Rahul Aggarwal, David A. Quigley, Joshua M. Lang, Shuang G. Zhao, Martin Sjöström   +26 more
wiley   +1 more source

AI-driven transformation in food manufacturing: a pathway to sustainable efficiency and quality assurance. [PDF]

Front Nutr
Agrawal K, Goktas P, Holtkemper M, Beecks C, Kumar N.   +4 more
europepmc   +1 more source

Analytical biotechnology

Current Opinion in Biotechnology, 1995
openaire   +2 more sources

TOMM20 as a driver of cancer aggressiveness via oxidative phosphorylation, maintenance of a reduced state, and resistance to apoptosis

Molecular Oncology, EarlyView.
TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam, Megan E. Roche, Zhao Lin, Diana Whitaker‐Menezes, Victor Diaz‐Barros, Eurico Serrano, Maria Paula Martinez Cantarin, Nancy J. Philp, Atrayee Basu Mallick, Ubaldo Martinez‐Outschoorn   +9 more
wiley   +1 more source

Enhancing monitoring and evaluation of digital health interventions in sub-Saharan Africa: big data, mHealth, and dashboards. [PDF]

J Glob Health
Otorkpa OJ, Alao JO, Olaiya AP.
europepmc   +1 more source

A Report on the Milk Supply of London by a Special Analytical and Biological Commission: Report upon the Analysis of Twenty Samples of Milk [PDF]

, 1895
C. E. Cassal
openalex   +1 more source