AIMC Topic: Organ Specificity

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Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.

International journal of radiation oncology, biology, physics May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
Bayes Theorem Radiologists Radiotherapy Planning, Computer-Assisted Datasets as Topic Radiotherapy, Image-Guided Humans False Negative Reactions Simulation Training Neural Networks, Computer Algorithms Medical Errors Neoplasms Radiotherapy Setup Errors Cohort Studies False Positive Reactions Technology, Radiologic ROC Curve Radiotherapy Dosage Organ Specificity Dose Fractionation, Radiation
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Separation of bones from soft tissue in chest radiographs: Anatomy-specific orientation-frequency-specific deep neural network convolution.

Medical physics Mar 28, 2019
PURPOSE: Lung nodules that are missed by radiologists as well as by computer-aided detection (CAD) systems mostly overlap with ribs and clavicles. Removing the bony structures would result in better visualization of undetectable lesions. Our purpose ...
Humans Neural Networks, Computer Ribs Image Processing, Computer-Assisted Clavicle Radiography, Thoracic Organ Specificity
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Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks.

Scientific reports Feb 20, 2019
Understanding cell identity is an important task in many biomedical areas. Expression patterns of specific marker genes have been used to characterize some limited cell types, but exclusive markers are not available for many cell types. A second appr...
Deep Learning Humans Neural Networks, Computer Organ Specificity Algorithms Cells Gene Expression Profiling Cell Compartmentation
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Identification of tissue-specific tumor biomarker using different optimization algorithms.

Genes & genomics Dec 8, 2018
BACKGROUND: Identification of differentially expressed genes, i.e., genes whose transcript abundance level differs across different biological or physiological conditions, was indeed a challenging task. However, the inception of transcriptome sequenc...
Machine Learning Biomarkers, Tumor Humans Transcriptome Gene Expression Regulation, Neoplastic Organ Specificity
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Deep learning-based quantification of abdominal fat on magnetic resonance images.

PloS one Sep 20, 2018
Obesity is increasingly prevalent and associated with increased risk of developing type 2 diabetes, cardiovascular diseases, and cancer. Magnetic resonance imaging (MRI) is an accurate method for determination of body fat volume and distribution. How...
Diet, Western Mice, Inbred C3H Adipose Tissue Mice, Knockout Body Weight Automation Intra-Abdominal Fat Apolipoproteins E Subcutaneous Fat Male Organ Specificity Deep Learning Abdominal Fat Phenotype Magnetic Resonance Imaging Female Mice, Inbred C57BL Animals
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Biological classification with RNA-seq data: Can alternatively spliced transcript expression enhance machine learning classifiers?

RNA (New York, N.Y.) Jun 25, 2018
RNA sequencing (RNA-seq) is becoming a prevalent approach to quantify gene expression and is expected to gain better insights into a number of biological and biomedical questions compared to DNA microarrays. Most importantly, RNA-seq allows us to qua...
Gene Expression Profiling Sequence Analysis, RNA Supervised Machine Learning Data Mining Humans Animals RNA Organ Specificity Alternative Splicing
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Evaluation of Aristolochia indica L. and Piper nigrum L. methanol extract against centipede Scolopendra moristans L. using Wistar albino rats and screening of bioactive compounds by high pressure liquid chromatography: a polyherbal formulation.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Nov 28, 2017
The present study was aimed to explore the anti-venom activity of Aristolochia indica and Piper nigrum plants against the centipede (Scolopendra moristans) envenomation in animal model. In vtiro phytochemical, antioxidant and blocking of proteolysis ...
Proteolysis Venoms Electrolytes Lipids Organ Specificity Phytochemicals Phytotherapy Methanol Piper nigrum Chromatography, High Pressure Liquid Humans Mice Behavior, Animal Antioxidants Annelida Animals Toxicity Tests, Acute Antivenins Plant Extracts Antineoplastic Agents Rats, Wistar Aristolochia Cell Line, Tumor
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A machine learning approach for the identification of key markers involved in brain development from single-cell transcriptomic data.

BMC genomics Dec 22, 2016
BACKGROUND: The ability to sequence the transcriptomes of single cells using single-cell RNA-seq sequencing technologies presents a shift in the scientific paradigm where scientists, now, are able to concurrently investigate the complex biology of a ...
Neurogenesis Organogenesis Machine Learning Algorithms Transcriptome Single-Cell Analysis Biomarkers Support Vector Machine Brain Models, Statistical Reproducibility of Results Organ Specificity Gene Expression Profiling
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Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction.

Nucleic acids research Nov 29, 2016
The binding and contribution of transcription factors (TF) to cell specific gene expression is often deduced from open-chromatin measurements to avoid costly TF ChIP-seq assays. Thus, it is important to develop computational methods for accurate TF b...
Human Embryonic Stem Cells Humans Machine Learning Algorithms Hepatocytes Cell Line, Tumor Hep G2 Cells Protein Binding Gene Expression Regulation Cell Line Transcription Factors Organ Specificity Principal Component Analysis K562 Cells Primary Cell Culture DNA Chromatin CD4-Positive T-Lymphocytes Histones Chromatin Assembly and Disassembly Binding Sites
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Alkaline phosphatase determines polyphosphate-induced mineralization in a cell-type independent manner.

Journal of bone and mineral metabolism Oct 16, 2015
Polyphosphate [Poly(P)] has positive effects on osteoblast mineralization; however, the underlying mechanism remains unclear. In addition, it is unknown whether Poly(P) promotes mineralization in soft tissues. We investigated this by using various ce...
3T3-L1 Cells Osteoblasts Gene Expression Regulation, Enzymologic Organ Specificity Polyphosphates Cricetinae Calcification, Physiologic Rats CHO Cells Cricetulus Alkaline Phosphatase Animals Mice
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