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https://www.readbyqxmd.com/read/28649439/mechanisms-of-action-of-sacubitril-valsartan-on-cardiac-remodeling-a-systems-biology-approach
#1
Oriol Iborra-Egea, Carolina Gálvez-Montón, Santiago Roura, Isaac Perea-Gil, Cristina Prat-Vidal, Carolina Soler-Botija, Antoni Bayes-Genis
Sacubitril/Valsartan, proved superiority over other conventional heart failure management treatments, but its mechanisms of action remains obscure. In this study, we sought to explore the mechanistic details for Sacubitril/Valsartan in heart failure and post-myocardial infarction remodeling, using an in silico, systems biology approach. Myocardial transcriptome obtained in response to myocardial infarction in swine was analyzed to address post-infarction ventricular remodeling. Swine transcriptome hits were mapped to their human equivalents using Reciprocal Best (blast) Hits, Gene Name Correspondence, and InParanoid database...
2017: NPJ Systems Biology and Applications
https://www.readbyqxmd.com/read/28648828/tidal-energy-the-benthic-effects-of-an-operational-tidal-stream-turbine
#2
J P J O'Carroll, R M Kennedy, A Creech, G Savidge
The effect of modified flow on epifaunal boulder reef communities adjacent to the SeaGen, the world's first grid-compliant tidal stream turbine, were assessed. The wake of the SeaGen was modelled and the outputs were used in conjunction with positional and substrate descriptor variables, to relate variation in epifaunal community structure to the modified physical environment. An Artificial Neural Network (ANN) and Generalised Linear Model (GLM) were used to make predictions on the distribution of Ecological Status (ES) of epifaunal communities in relation to the turbulent wake of the SeaGen...
June 15, 2017: Marine Environmental Research
https://www.readbyqxmd.com/read/28647497/prediction-of-metastasis-in-advanced-colorectal-carcinomas-using-cgh-data
#3
Ehsan Saghapour, Mohammadreza Sehhati
Logistic Regression Model (LRM) and artificial neural networks (ANNs) as two nonlinear models have been used to establish a novel two-stage hybrid modeling procedure for prediction of metastasis in advanced colorectal carcinomas. Two different datasets were used in training and testing procedures. For the first stage of hybrid modeling procedure, LRM was used to evaluate the contribution of DNA sequence copy number aberrations detected by Comparative Genomic Hybridization in advanced colorectal carcinoma and its metastasis...
June 21, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28647140/improve-artificial-neural-network-for-medical-analysis-diagnosis-and-prediction
#4
Yang Fei, Wei-Qin Li
No abstract text is available yet for this article.
June 16, 2017: Journal of Critical Care
https://www.readbyqxmd.com/read/28641890/a-comparative-research-of-different-ensemble-surrogate-models-based-on-set-pair-analysis-for-the-dnapl-contaminated-aquifer-remediation-strategy-optimization
#5
Zeyu Hou, Wenxi Lu, Haibo Xue, Jin Lin
Surrogate-based simulation-optimization technique is an effective approach for optimizing the surfactant enhanced aquifer remediation (SEAR) strategy for clearing DNAPLs. The performance of the surrogate model, which is used to replace the simulation model for the aim of reducing computation burden, is the key of corresponding researches. However, previous researches are generally based on a stand-alone surrogate model, and rarely make efforts to improve the approximation accuracy of the surrogate model to the simulation model sufficiently by combining various methods...
June 15, 2017: Journal of Contaminant Hydrology
https://www.readbyqxmd.com/read/28640883/an-artificial-emg-generation-model-based-on-signal-dependent-noise-and-related-application-to-motion-classification
#6
Akira Furui, Hideaki Hayashi, Go Nakamura, Takaaki Chin, Toshio Tsuji
This paper proposes an artificial electromyogram (EMG) signal generation model based on signal-dependent noise, which has been ignored in existing methods, by introducing the stochastic construction of the EMG signals. In the proposed model, an EMG signal variance value is first generated from a probability distribution with a shape determined by a commanded muscle force and signal-dependent noise. Artificial EMG signals are then generated from the associated Gaussian distribution with a zero mean and the generated variance...
2017: PloS One
https://www.readbyqxmd.com/read/28640840/applying-artificial-intelligence-to-disease-staging-deep-learning-for-improved-staging-of-diabetic-retinopathy
#7
Hidenori Takahashi, Hironobu Tampo, Yusuke Arai, Yuji Inoue, Hidetoshi Kawashima
PURPOSE: Disease staging involves the assessment of disease severity or progression and is used for treatment selection. In diabetic retinopathy, disease staging using a wide area is more desirable than that using a limited area. We investigated if deep learning artificial intelligence (AI) could be used to grade diabetic retinopathy and determine treatment and prognosis. METHODS: The retrospective study analyzed 9,939 posterior pole photographs of 2,740 patients with diabetes...
2017: PloS One
https://www.readbyqxmd.com/read/28640401/two-stage-approach-for-risk-estimation-of-fetal-trisomy-21-and-other-aneuploidies-using-computational-intelligence-systems
#8
A C Neocleous, A Syngelaki, K H Nicolaides, C N Schizas
OBJECTIVE: To estimate the risk for fetal trisomy 21 (T21) and other chromosomal abnormalities at 11-13 week's gestation using computational intelligence classification methods. METHODS: As a first step, we train the artificial neural networks with 72054 euploid pregnancies, 295 cases of T21 and 305 of other chromosomal abnormalities (OCA). Then, we sort the cases into two categories of "no-risk" and "risk". The cases of "no-risk" are no further examined, while the cases with "risk" are forwarded in Stage 2 for further examination where we classify them in three types of risk, namely "no-risk", "moderate-risk" and "high-risk"...
June 22, 2017: Ultrasound in Obstetrics & Gynecology
https://www.readbyqxmd.com/read/28635678/evaluation-of-classifier-performance-for-multiclass-phenotype-discrimination-in-untargeted-metabolomics
#9
Patrick J Trainor, Andrew P DeFilippis, Shesh N Rai
Statistical classification is a critical component of utilizing metabolomics data for examining the molecular determinants of phenotypes. Despite this, a comprehensive and rigorous evaluation of the accuracy of classification techniques for phenotype discrimination given metabolomics data has not been conducted. We conducted such an evaluation using both simulated and real metabolomics datasets, comparing Partial Least Squares-Discriminant Analysis (PLS-DA), Sparse PLS-DA, Random Forests, Support Vector Machines (SVM), Artificial Neural Network, k-Nearest Neighbors (k-NN), and Naïve Bayes classification techniques for discrimination...
June 21, 2017: Metabolites
https://www.readbyqxmd.com/read/28635625/soil-moisture-content-estimation-based-on-sentinel-1-and-auxiliary-earth-observation-products-a-hydrological-approach
#10
Dimitrios D Alexakis, Filippos-Dimitrios K Mexis, Anthi-Eirini K Vozinaki, Ioannis N Daliakopoulos, Ioannis K Tsanis
A methodology for elaborating multi-temporal Sentinel-1 and Landsat 8 satellite images for estimating topsoil Soil Moisture Content (SMC) to support hydrological simulation studies is proposed. After pre-processing the remote sensing data, backscattering coefficient, Normalized Difference Vegetation Index (NDVI), thermal infrared temperature and incidence angle parameters are assessed for their potential to infer ground measurements of SMC, collected at the top 5 cm. A non-linear approach using Artificial Neural Networks (ANNs) is tested...
June 21, 2017: Sensors
https://www.readbyqxmd.com/read/28633707/qualitative-analysis-of-biological-tuberculosis-samples-by-an-electronic-nose-based-artificial-neural-network
#11
E I Mohamed, M A Mohamed, M H Moustafa, S M Abdel-Mageed, A M Moro, A I Baess, S M El-Kholy
OBJECTIVE: To apply an e-nose system for monitoring headspace volatiles in biological samples from Egyptian patients with active pulmonary tuberculosis (TB) and healthy controls (HCs) and compare them with standard sputum analysis. DESIGN: The study population comprised 260 (140 males, 120 females) newly diagnosed TB patients and 240 (120 males, 120 females) HCs matched by age and socio-economic level admitted to hospitals specialising in chest diseases in Alexandria, Behera, Giza and Damietta Governorates, Egypt...
July 1, 2017: International Journal of Tuberculosis and Lung Disease
https://www.readbyqxmd.com/read/28633164/ann-prediction-of-ligament-stiffnesses-for-the-enhanced-predictive-ability-of-a-patient-specific-computational-foot-ankle-model
#12
Ruchi Chande, Jennifer S Wayne
Computational models of diarthrodial joints serve to inform the biomechanical function of these structures, and as such, must be supplied appropriate inputs for performance that is representative of actual joint function. Inputs for these models are sourced from both imaging modalities as well as literature. The latter is often the source of mechanical properties for soft tissues, like ligament stiffnesses; however, such data is not always available for all soft tissues nor is it known for patient specific work...
June 20, 2017: Journal of Biomechanical Engineering
https://www.readbyqxmd.com/read/28630880/prominent-lateral-spread-of-imaged-evoked-activity-beyond-cortical-columns-in-barrel-cortex-provides-foundation-for-coding-whisker-identity
#13
Nathan S Jacobs, Ron D Frostig
The posterior medial barrel subfield (PMBSF) of a rat primary somatosensory cortex exquisitely demonstrates topography and columnar organization, defining features of sensory cortices in the mammalian brain. Optical imaging and neuronal recordings in rat PMBSF demonstrate how evoked cortical activity following single whisker stimulation also rapidly spreads laterally into surrounding cortices, disregarding columnar and modality boundaries. The current study quantifies the spatial prominence of such lateral activity spreads by demonstrating that functional connectivity between laterally spaced cortical locations is actually stronger than between vertically spaced cortical locations...
July 2017: Neurophotonics
https://www.readbyqxmd.com/read/28628860/in-silico-modeling-on-adme-properties-of-natural-products-classification-models-for-blood-brain-barrier-permeability-its-application-to-traditional-chinese-medicine-and-in-vitro-experimental-validation
#14
Xiuqing Zhang, Ting Liu, Xiaohui Fan, Ni Ai
In silico modeling of blood-brain barrier (BBB) permeability plays an important role in early discovery of central nervous system (CNS) drugs due to its high-throughput and cost-effectiveness. Natural products (NP) have demonstrated considerable therapeutic efficacy against several CNS diseases. However, BBB permeation property of NP is scarcely evaluated both experimentally and computationally. It is well accepted that significant difference in chemical spaces exists between NP and synthetic drugs, which calls into doubt on suitability of available synthetic chemical based BBB permeability models for the evaluation of NP...
June 7, 2017: Journal of Molecular Graphics & Modelling
https://www.readbyqxmd.com/read/28628604/correlations-of-complete-blood-count-with-alanine-and-aspartate-transaminase-in-chinese-subjects-and-prediction-based-on-back-propagation-artificial-neural-network-bp-ann
#15
Jiong Yu, Qiaoling Pan, Jinfeng Yang, Chengxing Zhu, Linfeng Jin, Guangshu Hao, Xiaowei Shi, Hongcui Cao, Feiyan Lin
BACKGROUND The complete blood count (CBC) is the most common examination used to monitor overall health in clinical practice. Whether there is a relationship between CBC indexes and alanine transaminase (ALT) and aspartate aminotransferase (AST) has been unclear. MATERIAL AND METHODS In this study, 572 normal-weight and 346 overweight Chinese subjects were recruited. The relationship between CBC indexes with ALT and AST were analyzed by Pearson and Spearman correlations according to their sex, then we conducted colinearity diagnostics and multiple linear regression (MLR) analysis...
June 19, 2017: Medical Science Monitor: International Medical Journal of Experimental and Clinical Research
https://www.readbyqxmd.com/read/28628163/-quantitative-structure-activity-relationship-model-for-prediction-of-cardiotoxicity-of-chemical-components-in-traditional-chinese-medicines
#16
(no author information available yet)
OBJECTIVE: Some quantitative structure-activity relationship (QSAR) models have been developed to predict cardiac toxicity of drugs, which have limited predictive power due to based on hERG channel inhibition. The objective of this study was try to develop a QSAR model based on all kinds of cardiac adverse effects, and to predict the potential cardiotoxicity of chemical components in traditional Chinese medicines (TCM). METHODS: In this study, the compounds data of all kinds of cardiac adverse reactions were selected as the training set...
June 18, 2017: Beijing da Xue Xue Bao. Yi Xue Ban, Journal of Peking University. Health Sciences
https://www.readbyqxmd.com/read/28626972/nirca-an-artificial-neural-network-based-insulin-resistance-calculator
#17
Konrad Stawiski, Iwona Pietrzak, Wojciech Młynarski, Wojciech Fendler, Agnieszka Szadkowska
BACKGROUND: Direct measurement of insulin sensitivity in children with type 1 diabetes is cumbersome and time consuming. OBJECTIVE: The aim of our study was to develop novel, accurate machine learning-based methods of insulin resistance estimation in children with type 1 diabetes. METHODS: A hyperinsulinemic hyperglycemic clamp study was performed to evaluate the glucose disposal rate (GDR) in a study group consisting of 315 patients aged 7...
June 19, 2017: Pediatric Diabetes
https://www.readbyqxmd.com/read/28618828/pavement-type-and-wear-condition-classification-from-tire-cavity-acoustic-measurements-with-artificial-neural-networks
#18
Johannes Masino, Michael-Jan Foitzik, Michael Frey, Frank Gauterin
Tire road noise is the major contributor to traffic noise, which leads to general annoyance, speech interference, and sleep disturbances. Standardized methods to measure tire road noise are expensive, sophisticated to use, and they cannot be applied comprehensively. This paper presents a method to automatically classify different types of pavement and the wear condition to identify noisy road surfaces. The methods are based on spectra of time series data of the tire cavity sound, acquired under normal vehicle operation...
June 2017: Journal of the Acoustical Society of America
https://www.readbyqxmd.com/read/28613390/autoihc-scoring-a-machine-learning-framework-for-automated-allred-scoring-of-molecular-expression-in-er-and-pr-stained-breast-cancer-tissue
#19
S Tewary, I Arun, R Ahmed, S Chatterjee, C Chakraborty
In prognostic evaluation of breast cancer Immunohistochemical (IHC) markers namely, oestrogen receptor (ER) and progesterone receptor (PR) are widely used. The expert pathologist investigates qualitatively the stained tissue slide under microscope to provide the Allred score; which is clinically used for therapeutic decision making. Such qualitative judgment is time-consuming, tedious and more often suffers from interobserver variability. As a result, it leads to imprecise IHC score for ER and PR. To overcome this, there is an urgent need of developing a reliable and efficient IHC quantifier for high throughput decision making...
June 14, 2017: Journal of Microscopy
https://www.readbyqxmd.com/read/28612121/estimation-of-respiratory-volume-from-thoracoabdominal-breathing-distances-comparison-of-two-models-of-machine-learning
#20
Rémy Dumond, Steven Gastinger, Hala Abdul Rahman, Alexis Le Faucheur, Patrice Quinton, Haitao Kang, Jacques Prioux
PURPOSE: The purposes of this study were to both improve the accuracy of respiratory volume (V) estimates using the respiratory magnetometer plethysmography (RMP) technique and facilitate the use of this technique. METHOD: We compared two models of machine learning (ML) for estimating [Formula: see text]: a linear model (multiple linear regression-MLR) and a nonlinear model (artificial neural network-ANN), and we used cross-validation to validate these models. Fourteen healthy adults, aged [Formula: see text] years participated in the present study...
June 13, 2017: European Journal of Applied Physiology
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