AI Medical Compendium Journal:
Journal of cellular and molecular medicine

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Screening of the shared pathogenic genes of ulcerative colitis and colorectal cancer by integrated bioinformatics analysis.

Journal of cellular and molecular medicine Jul 26, 2023
Ulcerative colitis (UC) is one of the high-risk pathogenic factors for colorectal cancer (CRC). However, the shared gene and signalling mechanisms between UC and CRC remain unclear. The goal of this study was to delve more into the probable causal re...
Humans Signal Transduction Colorectal Neoplasms Databases, Genetic Gene Expression Profiling Colitis, Ulcerative Gene Ontology Protein Interaction Maps Gene Regulatory Networks Computational Biology Gene Expression Regulation, Neoplastic
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Multiple machine learning methods aided virtual screening of Na 1.5 inhibitors.

Journal of cellular and molecular medicine Dec 27, 2022
Na 1.5 sodium channels contribute to the generation of the rapid upstroke of the myocardial action potential and thereby play a central role in the excitability of myocardial cells. At present, the patch clamp method is the gold standard for ion chan...
NAV1.5 Voltage-Gated Sodium Channel Algorithms Databases, Factual Action Potentials Machine Learning
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ScoMorphoFISH: A deep learning enabled toolbox for single-cell single-mRNA quantification and correlative (ultra-)morphometry.

Journal of cellular and molecular medicine May 20, 2022
Increasing the information depth of single kidney biopsies can improve diagnostic precision, personalized medicine and accelerate basic kidney research. Until now, information on mRNA abundance and morphologic analysis has been obtained from differen...
Humans COVID-19 SARS-CoV-2 Deep Learning RNA, Messenger Angiotensin-Converting Enzyme 2
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Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks.

Journal of cellular and molecular medicine Jan 22, 2022
There is an unmet need of models for early prediction of morbidity and mortality of Coronavirus disease-19 (COVID-19). We aimed to a) identify complement-related genetic variants associated with the clinical outcomes of ICU hospitalization and death,...
Humans Hospitalization Male Middle Aged Polymorphism, Single Nucleotide Neural Networks, Computer COVID-19 Intensive Care Units Female Thrombomodulin Complement Factor H Complement Activation Complement System Proteins Models, Genetic Morbidity Greece
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Application of convolutional neural network on early human embryo segmentation during in vitro fertilization.

Journal of cellular and molecular medicine Jan 24, 2021
Selection of the best quality embryo is the key for a faithful implantation in in vitro fertilization (IVF) practice. However, the process of evaluating numerous images captured by time-lapse imaging (TLI) system is time-consuming and some important ...
Embryonic Development Cell Culture Techniques Time-Lapse Imaging Fertilization in Vitro Models, Biological Embryo, Mammalian Humans Neural Networks, Computer Cells, Cultured Pregnancy Female
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Impact of chronic intermittent hypoxia on the long non-coding RNA and mRNA expression profiles in myocardial infarction.

Journal of cellular and molecular medicine Nov 20, 2020
Chronic intermittent hypoxia (CIH) is the primary feature of obstructive sleep apnoea (OSA), a crucial risk factor for cardiovascular diseases. Long non-coding RNAs (lncRNAs) in myocardial infarction (MI) pathogenesis have drawn considerable attentio...
Hypoxia Gene Ontology Mice, Inbred C57BL RNA, Long Noncoding Blotting, Western Myocardial Infarction Mice RNA, Messenger Disease Models, Animal Animals Male Echocardiography
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Four transcription profile-based models identify novel prognostic signatures in oesophageal cancer.

Journal of cellular and molecular medicine Nov 19, 2019
Oesophageal cancer (ESCA) is a clinically challenging disease with poor prognosis and health-related quality of life. Here, we investigated the transcriptome of ESCA to identify high risk-related signatures. A total of 159 ESCA patients of The Cancer...
Humans Machine Learning Algorithms Prognosis Cell Proliferation Apoptosis Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Tumor Cells, Cultured Male Middle Aged Transcriptome Gene Expression Regulation, Neoplastic Female Survival Rate Biomarkers, Tumor
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Machine-learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time.

Journal of cellular and molecular medicine Apr 18, 2019
BACKGROUND: This study aimed to examine multi-dimensional MRI features' predictability on survival outcome and associations with differentially expressed Genes (RNA Sequencing) in groups of glioblastoma multiforme (GBM) patients.
Algorithms Prognosis Female Magnetic Resonance Imaging Aged Glioblastoma Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Survival Rate Adolescent Biomarkers, Tumor ROC Curve Brain Neoplasms Genomics Male Gene Expression Regulation, Neoplastic Middle Aged Aged, 80 and over Gene Expression Profiling Young Adult Transcriptome Adult
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Predicting overall survival of patients with hepatocellular carcinoma using a three-category method based on DNA methylation and machine learning.

Journal of cellular and molecular medicine Feb 19, 2019
Hepatocellular carcinoma (HCC) is closely associated with abnormal DNA methylation. In this study, we analyzed 450K methylation chip data from 377 HCC samples and 50 adjacent normal samples in the TCGA database. We screened 47,099 differentially meth...
Survival Analysis Humans Machine Learning Reproducibility of Results Liver Neoplasms Carcinoma, Hepatocellular DNA Methylation Models, Biological
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DRMDA: deep representations-based miRNA-disease association prediction.

Journal of cellular and molecular medicine Aug 31, 2017
Recently, microRNAs (miRNAs) are confirmed to be important molecules within many crucial biological processes and therefore related to various complex human diseases. However, previous methods of predicting miRNA-disease associations have their own d...
Deep Learning Genetic Association Studies Computational Biology MicroRNAs Humans Algorithms Neoplasms
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