AIMC Topic: Copper

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Deep learning enables the discovery of a novel cuproptosis-inducing molecule for the inhibition of hepatocellular carcinoma.

Acta pharmacologica Sinica Oct 6, 2023
Hepatocellular carcinoma (HCC) is one of the most common and deadly cancers in the world. The therapeutic outlook for HCC patients has significantly improved with the advent and development of systematic and targeted therapies such as sorafenib and l...
Carcinoma, Hepatocellular Apoptosis Copper Humans Ionophores Deep Learning Liver Neoplasms
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Hybrid chain reaction and selective recognition-based homogeneous dual-fluorescence analysis of circulating tumor cells in clinical ovarian cancer samples.

Analytica chimica acta Oct 5, 2023
BACKGROUND: Oncological analysis is important in tumor diagnosis. We constructed a dual-fluorescence and binary visual analysis system for circulating tumor cells (CTCs) using the folate receptor as a biomarker, combined with hybridization chain reac...
Limit of Detection Fluorescence Humans Tellurium Copper Cell Line, Tumor Cadmium Compounds Female Neoplastic Cells, Circulating Ovarian Neoplasms Fluorescent Dyes Biomarkers, Tumor Quantum Dots Porphyrins
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Construction and validation of a cuproptosis-related diagnostic gene signature for atrial fibrillation based on ensemble learning.

Hereditas Aug 24, 2023
BACKGROUND: Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. Nonetheless, the accurate diagnosis of this condition continues to pose a challenge when relying on conventional diagnostic techniques. Cell death is a key factor in ...
RNA, Messenger Apoptosis Copper Atrial Fibrillation Humans Machine Learning Gene Regulatory Networks Selection, Genetic
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Cuproptosis facilitates immune activation but promotes immune escape, and a machine learning-based cuproptosis-related signature is identified for predicting prognosis and immunotherapy response of gliomas.

CNS neuroscience & therapeutics Jul 28, 2023
AIMS: Cell death, except for cuproptosis, in gliomas has been extensively studied, providing novel targets for immunotherapy by reshaping the tumor immune microenvironment through multiple mechanisms. This study aimed to explore the effect of cupropt...
Machine Learning Prognosis Tumor Microenvironment Immunotherapy Glioma Apoptosis Copper Humans Artificial Intelligence
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Usefulness of copper filters in digital chest radiography based on the relationship between effective detective quantum efficiency and deep learning-based segmentation accuracy of the tumor area.

Radiological physics and technology Apr 12, 2023
This study aimed to determine the optimal radiographic conditions for detecting lesions on digital chest radiographs using an indirect conversion flat-panel detector with a copper (Cu) filter. First, we calculated the effective detective quantum effi...
Humans Artificial Intelligence Copper Radiographic Image Enhancement Neoplasms Deep Learning Radiography
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Deep learning reveals cuproptosis features assist in predict prognosis and guide immunotherapy in lung adenocarcinoma.

Frontiers in endocrinology Aug 19, 2022
BACKGROUND: Cuproptosis is a recently found non-apoptotic cell death type that holds promise as an emerging therapeutic modality in lung adenocarcinoma (LUAD) patients who develop resistance to radiotherapy and chemotherapy. However, the Cuproptosis'...
Lung Neoplasms Immunotherapy Gene Expression Regulation, Neoplastic Apoptosis Humans Prognosis Deep Learning Copper Adenocarcinoma of Lung
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Selecting Machine Learning Models to Support the Design of Al/CuO Nanothermites.

The journal of physical chemistry. A Feb 14, 2022
Novel properties associated with nanothermites have attracted great interest for several applications, including lead-free primers and igniters. However, the prediction of quantitative structure-energetic performance relationships is still challengin...
Algorithms Copper Machine Learning
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Cuprous oxide coated silver/graphitic carbon nitride/cadmium sulfide nanocomposite heterostructure: Specific recognition of carcinoembryonic antigen through sandwich-type mechanism.

Journal of colloid and interface science Nov 22, 2021
The development of the effective diagnostic method for the determination of cancer biomarkers is one of the most promising strategies for early clinical diagnosis of cancer. Here, based on the preparation of heterogeneous cuprous oxide coated silver ...
Copper Silver Immunoassay Cadmium Compounds Biosensing Techniques Nanocomposites Graphite Carcinoembryonic Antigen Electrochemical Techniques Nitrogen Compounds Cadmium Limit of Detection Sulfides
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Genetic dissection of complex traits using hierarchical biological knowledge.

PLoS computational biology Sep 17, 2021
Despite the growing constellation of genetic loci linked to common traits, these loci have yet to account for most heritable variation, and most act through poorly understood mechanisms. Recent machine learning (ML) systems have used hierarchical bio...
Saccharomyces cerevisiae Gene Ontology Hydroxyurea Chromosome Mapping Multifactorial Inheritance Benomyl Nucleotidyltransferases Mutation Glucose Glycine Knowledge Bases Models, Genetic Metabolic Networks and Pathways Copper Neural Networks, Computer Machine Learning Phenotype Genome-Wide Association Study Polymorphism, Single Nucleotide Computational Biology Systems Biology
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Diagnosis of Wilson Disease and Its Phenotypes by Using Artificial Intelligence.

Biomolecules Aug 20, 2021
WD is caused by variants disrupting copper efflux resulting in excessive copper accumulation mainly in liver and brain. The diagnosis of WD is challenged by its variable clinical course, onset, morbidity, and variant type. Currently it is diagnosed...
Male Middle Aged Diagnosis, Computer-Assisted Fuzzy Logic Liver Principal Component Analysis Copper Phenotype Brain Female Glutamic Acid Adult Neural Networks, Computer Humans Copper-Transporting ATPases Mutation Artificial Intelligence Hepatolenticular Degeneration DNA, Mitochondrial Algorithms Ceruloplasmin Medical Informatics
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