Publications by authors named "Marcin Woźniak"

80 Publications

Clear phylogeographic pattern and genetic structure of wild boar Sus scrofa population in Central and Eastern Europe.

Sci Rep 2021 May 6;11(1):9680. Epub 2021 May 6.

Department of Forensic Medicine, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Toruń, Poland.

The wild boar Sus scrofa is one of the widely spread ungulate species in Europe, yet the origin and genetic structure of the population inhabiting Central and Eastern Europe are not well recognized. We analysed 101 newly obtained sequences of complete mtDNA genomes and 548 D-loop sequences of the species and combined them with previously published data. We identified five phylogenetic clades in Europe with clear phylogeographic pattern. Two of them occurred mainly in western and central part of the continent, while the range of the third clade covered North-Eastern, Central and South-Eastern Europe. The two other clades had rather restricted distribution. In Central Europe, we identified a contact zone of three mtDNA clades. Population genetic structure reflected clear phylogeographic pattern of wild boar in this part of Europe. The contribution of lineages originating from the southern (Dinaric-Balkan) and eastern (northern cost of the Black Sea) areas to the observed phylogeographic pattern of the species in Central and Eastern Europe was larger than those from the regions located in southern France, Iberian, and Italian Peninsulas. The present work was the first mitogenomic analysis conducted in Central and Eastern Europe to study genetic diversity and structure of wild boar population.
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http://dx.doi.org/10.1038/s41598-021-88991-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102581PMC
May 2021

Spatial matching on the urban labor market: estimates with unique micro data.

Authors:
Marcin Wozniak

J Labour Mark Res 2021 6;55(1):11. Epub 2021 Apr 6.

Faculty of Human Geography and Planning, Adam Mickiewicz University, Poznan, Poland.

In the paper, we investigate spatial relationship on the labor market of Poznań agglomeration (Poland) with unique data on job vacancies. We have developed spatial panel models to assess the search and matching process with a particular focus on spatial spillovers. In general, spatial models may provide different findings than regular panel models regarding returns to scale in matching technology. Moreover, we have identified global spillover effects as well as other factors that impact the job-worker matching. We underline the role of data on job vacancies: the data retrieved from commercial job portals produced much more reliable estimates than underestimated registered data.
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http://dx.doi.org/10.1186/s12651-021-00293-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8023352PMC
April 2021

Molecularly targeted nanoparticles: an emerging tool for evaluation of expression of the receptor for advanced glycation end products in a murine model of peripheral artery disease.

Cell Mol Biol Lett 2021 Mar 16;26(1):10. Epub 2021 Mar 16.

University of Illinois at Urbana-Champaign Beckman Institute for Advanced Science and Technology, 405 N Mathews Ave, MC-251, 61801 Urbana, IL, USA.

Background: Molecular imaging with molecularly targeted probes is a powerful tool for studying the spatio-temporal interactions between complex biological processes. The pivotal role of the receptor for advanced glycation end products (RAGE), and its involvement in numerous pathological processes, aroused the demand for RAGE-targeted imaging in various diseases. In the present study, we evaluated the use of a diagnostic imaging agent for RAGE quantification in an animal model of peripheral artery disease, a multimodal dual-labeled probe targeted at RAGE (MMIA-CML).

Methods: PAMAM dendrimer was conjugated with Nε-carboxymethyl-lysine (CML) modified albumin to synthesize the RAGE-targeted probe. A control untargeted agent carried native non-modified human albumin (HSA). Bifunctional p-SCN-Bn-NOTA was used to conjugate the Cu radioisotope. Surgical right femoral artery ligation was performed on C57BL/6 male mice. One week after femoral artery ligation, mice were injected with MMIA-CML or MMIA-HSA labeled with Cu radioisotope and 60 min later in vivo microPET-CT imaging was performed. Immediately after PET imaging studies, the murine hindlimb muscle tissues were excised and prepared for gene and protein expression analysis. RAGE gene and protein expression was assessed using real-time qPCR and Western blot technique respectively. To visualize RAGE expression in excised tissues, microscopic fluorescence imaging was performed using RAGE-specific antibodies and RAGE-targeted and -control MMIA.

Results: Animals subjected to PET imaging exhibited greater MMIA-CML uptake in ischemic hindlimbs than non-ischemic hindlimbs. We observed a high correlation between fluorescent signal detection and radioactivity measurement. Significant RAGE gene and protein overexpression were observed in ischemic hindlimbs compared to non-ischemic hindlimbs at one week after surgical ligation. Fluorescence microscopic staining revealed significantly increased uptake of RAGE-targeted nanoparticles in both ischemic and non-ischemic muscle tissues compared to the control probe but at a higher level in ischemic hindlimbs. Ischemic tissue exhibited explicit RAGE dyeing following anti-RAGE antibody and high colocalization with the MMIA-CML targeted at RAGE.

Conclusions: The present results indicate increased expression of RAGE in the ischemic hindlimb and enable the use of multimodal nanoparticles in both in vitro and in vivo experimental models, creating the possibility for imaging structural and functional changes with a RAGE-targeted tracer.
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http://dx.doi.org/10.1186/s11658-021-00253-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7968326PMC
March 2021

Impact of Current Pulsation on BLDC Motor Parameters.

Sensors (Basel) 2021 Jan 15;21(2). Epub 2021 Jan 15.

Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland.

BrushLess Direct-Current (BLDC) motors are characterized by high efficiency and reliability due to the fact that the BLDC motor does not require power to the rotor. The rotor of the BLDC motor consists of permanent magnets. When examining the waveform of the current supplied to the motor windings, significant current ripple was observed within one power cycle, where the optimum value would be the constant value of this current during one power cycle. The variability of this current in one motor supply cycle results from the variability of the electromotive force induced in the motor winding. The paper presents a diagram of the power supply system consisting of an electronic commutator and a DC/DC converter made by the authors, and a proposed modification of the power supply system reducing the current pulsation of the motor windings and thus the possibility of reducing energy losses in the motor windings. The paper presents numerous results of measurements which showed a significant reduction in energy losses in the case of low-load operation.
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http://dx.doi.org/10.3390/s21020587DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829742PMC
January 2021

Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments.

Authors:
Marcin Woźniak

Sensors (Basel) 2020 Dec 24;21(1). Epub 2020 Dec 24.

Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland.

The recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice [...].
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http://dx.doi.org/10.3390/s21010045DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795168PMC
December 2020

Real-time neural network based predictor for cov19 virus spread.

PLoS One 2020 17;15(12):e0243189. Epub 2020 Dec 17.

Department of Applied Informatics, Vytautas Magnus University, Kaunas, Lithuania.

Since the epidemic outbreak in early months of 2020 the spread of COVID-19 has grown rapidly in most countries and regions across the World. Because of that, SARS-CoV-2 was declared as a Public Health Emergency of International Concern (PHEIC) on January 30, 2020, by The World Health Organization (WHO). That's why many scientists are working on new methods to reduce further growth of new cases and, by intelligent patients allocation, reduce number of patients per doctor, what can lead to more successful treatments. However to properly manage the COVID-19 spread there is a need for real-time prediction models which can reliably support various decisions both at national and international level. The problem in developing such system is the lack of general knowledge how the virus spreads and what would be the number of cases each day. Therefore prediction model must be able to conclude the situation from past data in the way that results will show a future trend and will possibly closely relate to the real numbers. In our opinion Artificial Intelligence gives a possibility to do it. In this article we present a model which can work as a part of an online system as a real-time predictor to help in estimation of COVID-19 spread. This prediction model is developed using Artificial Neural Networks (ANN) to estimate the future situation by the use of geo-location and numerical data from past 2 weeks. The results of our model are confirmed by comparing them with real data and, during our research the model was correctly predicting the trend and very closely matching the numbers of new cases in each day.
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0243189PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745974PMC
December 2020

Systematic Review and Meta-Analysis of Diagnostic Test Accuracy Studies Evaluating Point-of-Care Tests of Coagulopathy in Cardiac Surgery.

Transfus Med Rev 2021 01 29;35(1):7-15. Epub 2020 Oct 29.

Department of Cardiovascular Sciences and NIHR Leicester Biomedical Research Centre in Cardiovascular Medicine, University of Leicester, Clinical Sciences Wing, Glenfield General Hospital, Leicester, UK.

Treatment guidelines recommend the routine use of point-of-care diagnostic tests for coagulopathy in the management of cardiac surgery patients at risk of severe bleeding despite uncertainty as to their diagnostic accuracy. We performed a systematic review and meta-analysis of studies that evaluated the diagnostic accuracy of viscoelastometry, platelet function tests, and modified thromboelastography (TEG) tests, for coagulopathy in cardiac surgery patients. The reference standard included resternotomy for bleeding, transfusion of non-red cell components, or massive transfusion. We searched MEDLINE, EMBASE, CINAHL, and Clinical Trials.gov, from inception to June 2019. Study quality was assessed using QUADAS-2. Bivariate models were used to estimate summary sensitivity and specificity with (95% confidence intervals). All 29 studies (7440 participants) included in the data synthesis evaluated the tests as predictors of bleeding. No study evaluated their role in the management of bleeding. None was at low risk of bias. Four were judged as low concern regarding applicability. Pooled estimates of diagnostic accuracy were; Viscoelastic tests, 12 studies, sensitivity 0.61 (0.44, 0.76), specificity 0.83 (0.70, 0.91) with significant heterogeneity. Platelet function tests, 12 studies, sensitivity 0.63 (0.53, 0.72), specificity 0.75 (0.64, 0.84) with significant heterogeneity. TEG modification tests, 3 studies, sensitivity 0.80 (0.67, 0.89), specificity 0.76 (0.69, 0.82) with no evidence of heterogeneity. Studies reporting the highest values for sensitivity and specificity had important methodological limitations. In conclusion, we did not demonstrate predictive accuracy for commonly used point-of-care devices for coagulopathic bleeding in cardiac surgery. However, the certainty of the evidence was low.
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http://dx.doi.org/10.1016/j.tmrv.2020.09.012DOI Listing
January 2021

NAS-HRIS: Automatic Design and Architecture Search of Neural Network for Semantic Segmentation in Remote Sensing Images.

Sensors (Basel) 2020 Sep 16;20(18). Epub 2020 Sep 16.

Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland.

The segmentation of high-resolution (HR) remote sensing images is very important in modern society, especially in the fields of industry, agriculture and urban modelling. Through the neural network, the machine can effectively and accurately extract the surface feature information. However, using the traditional deep learning methods requires plentiful efforts in order to find a robust architecture. In this paper, we introduce a neural network architecture search (NAS) method, called NAS-HRIS, which can automatically search neural network architecture on the dataset. The proposed method embeds a directed acyclic graph (DAG) into the search space and designs the differentiable searching process, which enables it to learn an end-to-end searching rule by using gradient descent optimization. It uses the Gumbel-Max trick to provide an efficient way when drawing samples from a non-continuous probability distribution, and it improves the efficiency of searching and reduces the memory consumption. Compared with other NAS, NAS-HRIS consumes less GPU memory without reducing the accuracy, which corresponds to a large amount of HR remote sensing imagery data. We have carried out experiments on the WHUBuilding dataset and achieved 90.44% MIoU. In order to fully demonstrate the feasibility of the method, we made a new urban Beijing Building dataset, and conducted experiments on satellite images and non-single source images, achieving better results than SegNet, U-Net and Deeplab v3+ models, while the computational complexity of our network architecture is much smaller.
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http://dx.doi.org/10.3390/s20185292DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570751PMC
September 2020

Recommendations of the Polish Speaking Working Group of the International Society for Forensic Genetics on forensic Y chromosome typing.

Arch Med Sadowej Kryminol 2020 ;70(1):1-18

Pracownia Genetyki Medycznej i Sądowej, Uniwersytet Medyczny w Łodzi, Polska.

Y chromosome typing has been performed in forensic genetic practice for more than 20 years. The latest recommendations of the DNA Commission of the International Society of Forensic Genetics (ISFG) concerning the application of Y-chromosomal markers in forensic genetics were published in 2006. The aim of this report is to recapitulate, systematise and supplement existing recommendations on the forensic analysis of polymorphism of the Y chromosome with standards already implemented in practice, new capabilities linked to the development of research techniques as well as current solutions used in statistical analysis. The recommendations have been adapted specifically to aspects related to the preparation of expert opinions in the field of forensic genetics in Poland. The Polish Speaking Working Group of the ISFG believes that the presented guidelines should become a standard implemented by all Polish laboratories performing Y chromosome typing for forensic purposes.
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http://dx.doi.org/10.5114/amsik.2020.97833DOI Listing
January 2020

Neural network powered COVID-19 spread forecasting model.

Chaos Solitons Fractals 2020 Nov 15;140:110203. Epub 2020 Aug 15.

Faculty of Applied Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland.

Virus spread prediction is very important to actively plan actions. Viruses are unfortunately not easy to control, since speed and reach of spread depends on many factors from environmental to social ones. In this article we present research results on developing Neural Network model for COVID-19 spread prediction. Our predictor is based on classic approach with deep architecture which learns by using NAdam training model. For the training we have used official data from governmental and open repositories. Results of prediction are done for countries but also regions to provide possibly wide spectrum of values about predicted COVID-19 spread. Results of the proposed model show high accuracy, which in some cases reaches above 99%.
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http://dx.doi.org/10.1016/j.chaos.2020.110203DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428770PMC
November 2020

Pharmacological interventions for the prevention of renal injury in surgical patients: a systematic literature review and meta-analysis.

Br J Anaesth 2021 01 20;126(1):131-138. Epub 2020 Aug 20.

Department of Cardiovascular Sciences, National Institute for Health Research Leicester Biomedical Research Unit in Cardiovascular Medicine, University of Leicester, Leicester, UK.

Background: The aim of this systematic review was to summarise the results of randomised controlled trials (RCTs) that have evaluated pharmacological interventions for renoprotection in people undergoing surgery.

Methods: Searches were conducted to update a previous review using the Cochrane Central Register of Controlled Trials, MEDLINE, and EMBASE to August 23, 2019. RCTs evaluating the use of pharmacological interventions for renal protection in the perioperative period were included. The co-primary outcome measures were 30-day mortality and acute kidney injury (AKI). Pooled effect estimates were expressed as risk ratios (RRs) (95% confidence intervals).

Results: We included 228 trials enrolling 56 047 patients. Twenty-three trials were considered to be at low risk of bias across all domains. Atrial natriuretic peptides (14 trials; n=2207) reduced 30-day mortality (RR: 0.63 [0.41, 0.97]) and AKI events (RR: 0.43 [0.33, 0.56]) without heterogeneity. These effects were consistent across cardiac surgery and vascular surgery subgroups, and in sensitivity analyses restricted to studies at low risk of bias. Inodilators (13 trials; n=2941) reduced mortality (RR: 0.71 [0.53, 0.94]) and AKI events (RR: 0.65 [0.50, 0.85]) in the primary analysis and in cardiac surgery cohorts. Vasopressors (4 trials; n=1047) reduced AKI (RR: 0.56 [0.36, 0.86]). Nitric oxide donors, alpha-2-agonists, and calcium channel blockers reduced AKI in primary analyses, but not after exclusion of studies at risk of bias. Overall, assessment of the certainty of the effect estimates was low.

Conclusions: There are multiple effective pharmacological renoprotective interventions for people undergoing surgery.
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http://dx.doi.org/10.1016/j.bja.2020.06.064DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844346PMC
January 2021

Patient blood management interventions do not lead to important clinical benefits or cost-effectiveness for major surgery: a network meta-analysis.

Br J Anaesth 2021 01 30;126(1):149-156. Epub 2020 Jun 30.

Department of Cardiovascular Sciences and National Institute for Health Research Leicester Biomedical Research Unit in Cardiovascular Medicine, College of Life Sciences, University of Leicester, Leicester, UK.

Background: Patient blood management (PBM) interventions aim to improve clinical outcomes by reducing bleeding and transfusion. We assessed whether existing evidence supports the routine use of combinations of these interventions during and after major surgery.

Methods: Five systematic reviews and a National Institute of Health and Care Excellence health economic review of trials of common PBM interventions enrolling participants of any age undergoing surgery were updated. The last search was on June 1, 2019. Studies in trauma, burns, gastrointestinal haemorrhage, gynaecology, dentistry, or critical care were excluded. The co-primary outcomes were: risk of receiving red cell transfusion and 30-day or hospital all-cause mortality. Treatment effects were estimated using random-effects models and risk ratios (RR) with 95% confidence intervals (CIs). Heterogeneity assessments used I. Network meta-analyses used a frequentist approach. The protocol was registered prospectively (PROSPERO CRD42018085730).

Results: Searches identified 393 eligible randomised controlled trials enrolling 54 917 participants. PBM interventions resulted in a reduction in exposure to red cell transfusion (RR=0.60; 95% CI 0.57, 0.63; I=77%), but had no statistically significant treatment effect on 30-day or hospital mortality (RR=0.93; 95% CI 0.81, 1.07; I=0%). Treatment effects were consistent across multiple secondary outcomes, sub-groups and sensitivity analyses that considered clinical setting, type of intervention, and trial quality. Network meta-analysis did not demonstrate additive benefits from the use of multiple interventions. No trial demonstrated that PBM was cost-effective.

Conclusions: In randomised trials, PBM interventions do not have important clinical benefits beyond reducing bleeding and transfusion in people undergoing major surgery.
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http://dx.doi.org/10.1016/j.bja.2020.04.087DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844348PMC
January 2021

A spiking neural network-based long-term prediction system for biogas production.

Neural Netw 2020 Sep 5;129:271-279. Epub 2020 Jun 5.

Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology Technical University of Madrid Madrid, Spain; Department of Experimental Psychology, Cognitive Processes and Logopedy, Complutense University of Madrid, Spain.

Efficient energy production from biomass is a central issue in the context of clean alternative energy resource. In this work we propose a novel model based on spiking neural networks cubes in order to model the chemical processes that goes on in a digestor for the production of usable biogas. For the implementation of the predictive structure, we have used the NeuCube computational framework. The goals of the proposed model were: develop a tool for real applications (low-cost and efficient), generalize the data when the system presents high sensitivity to small differences on the initial conditions, take in account the "multi-scale" temporal dynamics of the chemical processes occurring in the digestor, since the variations present in the early stages of the processes are very quick, whereas in the later stages are slower. By using the first ten days of observation the implemented system has been proven able to predict the evolution of the chemical process up to the 100th day obtaining a high degree of accuracy with respect to the experimental data measured in laboratory. This is due to the fact that the spiking neural networks have shown to be able to modeling complex information processes and then it has been shown that spiking neurons are able to handle patterns of activity that spans different time scales. Thanks to such properties, our system is able to capture the multi-scale trend of the time series associated to the early-stage evolutions, as well as their interaction, which are crucial in the point of view of the information content to obtain a good long-term prediction.
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http://dx.doi.org/10.1016/j.neunet.2020.06.001DOI Listing
September 2020

Intravenous sildenafil citrate and post-cardiac surgery acute kidney injury: a double-blind, randomised, placebo-controlled trial.

Br J Anaesth 2020 06 1;124(6):693-701. Epub 2020 Apr 1.

Department of Cardiovascular Sciences and National Institute for Health Research Leicester Biomedical Research Unit in Cardiovascular Medicine, University of Leicester, Clinical Sciences Wing, Glenfield General Hospital, Leicester, UK; Leicester Clinical Trials Unit, University of Leicester, Leicester, UK. Electronic address:

Background: This study assessed whether i.v. sildenafil citrate prevented acute kidney injury in at-risk patients undergoing cardiac surgery with cardiopulmonary bypass.

Methods: In a double-blind RCT, adults at increased risk of acute kidney injury undergoing cardiac surgery in a single UK tertiary centre were randomised to receive sildenafil citrate 12.5 mg kg i.v. over 150 min or dextrose 5% at the commencement of surgery. The primary outcome was serum creatinine measured at six post-randomisation time points. The primary analysis used a linear mixed-effects model adjusted for the stratification variables, baseline estimated glomerular filtration rate, and surgical procedure. Secondary outcomes considered clinical events and potential disease mechanisms. Effect estimates were expressed as mean differences (MDs) or odds ratios with 95% confidence intervals.

Results: The analysis population comprised eligible randomised patients that underwent valve surgery or combined coronary artery bypass graft and valve surgery, with cardiopulmonary bypass, between May 2015 and June 2018. There were 60 subjects in the sildenafil group and 69 in the placebo control group. The difference between groups in creatinine concentration was not statistically significant (MD: 0.88 μmol L [-5.82, 7.59]). There was a statistically significant increase in multiple organ dysfunction scores in the sildenafil group (MD: 0.54 [0.02, 1.07]; P=0.044). Secondary outcomes, and biomarkers of kidney injury, endothelial function, and inflammatory cell activation, were not significantly different between the groups.

Conclusions: These results do not support the use of i.v. sildenafil citrate for kidney protection in adult cardiac surgery.

Clinical Trial Registration: ISRCTN18386427.
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http://dx.doi.org/10.1016/j.bja.2020.01.030DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7271663PMC
June 2020

Quantitative imaging of the receptor for advanced glycation end-products in prostate cancer.

Eur J Nucl Med Mol Imaging 2020 10 12;47(11):2562-2576. Epub 2020 Mar 12.

Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

Purpose: Current screening and monitoring of prostate cancer (PCa) is insufficient, producing inaccurate diagnoses. Presence of the receptor for advanced glycation end-products (RAGE) is associated with signature characteristics of PCa development such as cell proliferation, anchorage-independent growth, angiogenesis, migration, invasion, and poor patient survival. Therefore, we developed a preclinical multimodal imaging strategy targeted at RAGE to diagnose and monitor PCa.

Methods: In this work, RAGE-targeted multimodal nanoparticles (64Cu-Cy5-G4-CML) were synthesized and rendered functional for nuclear and optical imaging using previously established methods. The probe's binding affinity and targeting specificity was assessed in androgen-dependent (LNCaP) and androgen-independent (DU145) prostate cancer cells using flow cytometry and confocal microscopy. In vivo PET-CT imaging was used to evaluate RAGE levels in DU145 and LNCaP xenograft models in mice. Then, tumors were excised post-imaging for histological staining and autoradiography to further assess RAGE levels and targeting efficiency of the tracer. Finally, RAGE levels from human PCa samples of varying Gleason Scores were evaluated using Western blot and immunohistochemical staining.

Results: PCa cell culture studies confirmed adequate RAGE-targeting with 64Cu-Cy5-G4-CML with K between 360 and 540 nM as measured by flow cytometry. In vivo PET-CT images of PCa xenografts revealed favorable kinetics, rapid blood clearance, and a non-homogenous, enhanced uptake in tumors, which varied based on cell type and tumor size with mean uptake between 0.5 and 1.4%ID/g. RAGE quantification of human samples confirmed increased RAGE uptake corresponding to increased Gleason scoring.

Conclusions: Our study has shown that RAGE-targeted cancer imaging is feasible and could significantly impact PCa management.
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http://dx.doi.org/10.1007/s00259-020-04721-1DOI Listing
October 2020

Strengthening the perception of the virtual worlds in a virtual reality environment.

ISA Trans 2020 Jul 28;102:397-406. Epub 2020 Feb 28.

Faculty of Applied Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland. Electronic address:

Virtual reality is becoming more and more improved primarily due to numerous applications and the powers of mobile devices. Using various sensors, precise displays and high computing powers smartphone are becoming devices that make the boost in technology. Now it is necessary to efficiently use various sensors without affecting system operation and improve control abilities for various purposes. Especially in practical applications received by mass users such as games and any kind of experience. In this article, we propose a system that allows to extend the perception of the virtual world by conveying information about the user's movements in reality into the supervised model. The system retrieves data from several sources, quickly analyzes them using artificial intelligence techniques, and returns information to the mobile phone about the activity that is being processed. The concept extends the understanding of today's virtual reality by allowing the user to move and perform simple gestures in a specially designed room. Moreover, we propose multiplayer mode in virtual reality, where players are in different places. The proposed architecture of the system has been tested on simple applications, and the results show high potential for implementations in various apps by achieving almost 90% efficiency in changing player direction in real time and only 7.5% of collision cases.
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http://dx.doi.org/10.1016/j.isatra.2020.02.023DOI Listing
July 2020

spp. - reliable identification, susceptibility to antimicrobials and antibiotic resistance mechanisms.

J Med Microbiol 2020 Feb 23;69(2):233-238. Epub 2020 Jan 23.

Department of Microbiology, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Toruń, Poland.

spp. representatives are Gram-negative rod-shaped bacteria of the family. These bacteria are commonly found in the natural environment.. The aim of the study was to indicate the reliable method for spp. strains identification, evaluate the susceptibility of spp. strains to selected antimicrobials and to detect their resistance mechanisms to beta-lactams. Susceptibility of the strains to chosen antimicrobials was determined using the automatic method. The presence of particular antimicrobial resistant mechanism and genes encoding ESBLs and MBLs was determined respectively with double-disc synergy test and commercially available kit - eazyplex SuperBug CRE test (Amplex Diagnostics) and standard PCR. For the selected strains, DNA sequencing was performed. Amongst 105 of the examined spp. strains, majority were sensitive to: imipenem (99.0 %), meropenem (98.1 %), gentamicin (93.3 %) and ciprofloxacin (92.4 %). Of the tested Raoultella strains, thirteen (12.4 %) produced ESBLs and one strain simultaneously ESBLs and MBLs. The DNA sequencing results were as follows: for all the reference strains the correct species identification was achieved, for the analysed strains two were identified as and one as . Although spp. strains remain sensitive to antibiotics, there is a constant need to monitor the sensitivity of these bacteria to selected antimicrobials. Isolation of a multi-drug resistant strain indicates that even the less frequently isolated species of family should be precisely identified because they might be of clinical importance and the particular strain can also produce enzymes that pose the greatest threat today.
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http://dx.doi.org/10.1099/jmm.0.001150DOI Listing
February 2020

Examination of LT-DNA traces - literature overview and general recommendations of the Polish Speaking Working Group of the International Society for Forensic Genetics (ISFG-PL).

Arch Med Sadowej Kryminol 2020 ;70(2-3):103-123

Uniwersytet Medyczny w Łodzi, Polska.

The available literature on traces characterised by a suboptimal amount of DNA, as well as expert research practice, show the complex nature of LT-DNA traces: from their detection and collection, through genetic analysis, up to the interpretation of final results. The aims of this paper are to systematise the current state of knowledge on handling LT-DNA traces and develop examination guidelines, as recommended by the Polish Speaking Working Group of the International Society for Forensic Genetics (ISFG-PL). The proposed guidelines should be followed by all Polish laboratories conducting forensic genetic analyses for the purpose of judicial proceedings.
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http://dx.doi.org/10.5114/amsik.2020.104489DOI Listing
January 2020

Biomarkers of Inflammation and Lung Recovery in Extracorporeal Membrane Oxygenation Patients With Persistent Pulmonary Hypertension of the Newborn: A Feasibility Study.

Pediatr Crit Care Med 2020 04;21(4):363-372

Leicester National Institute for Health Research Biomedical Research Unit and Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, United Kingdom.

Objectives: Extracorporeal membrane oxygenation is a treatment for Persistent Pulmonary Hypertension of the Newborn with high mortality.

Hypothesis: the extracorporeal membrane oxygenation circuit results in inflammatory responses that mitigate against successful weaning.

Design: Single-center prospective observational feasibility study.

Setting: PICU.

Patients: Twenty-four neonates requiring extracorporeal membrane oxygenation support for Persistent Pulmonary Hypertension of the Newborn.

Interventions: None.

Measurements And Main Results: The reference outcome was death or more than 7 days of extracorporeal membrane oxygenation support. Other outcomes included serial measures of plasma-free hemoglobin and markers of its metabolism, leucocyte, platelet and endothelial activation, and biomarkers of inflammation. Of 24 participants recruited between February 2016 and June 2017, 10 died or required prolonged extracorporeal membrane oxygenation support. These patients were sicker at baseline with higher levels of plasma-free hemoglobin within 12 hours of cannulation (geometric mean ratio, 1.92; 95% CIs, 1.00-3.67; p = 0.050) but not thereafter, versus those requiring less than 7 days extracorporeal membrane oxygenation. Serum haptoglobin concentrations were significantly elevated in both groups. Patients who died or required prolonged extracorporeal membrane oxygenation support demonstrated elevated levels of platelet-leucocyte aggregation, but decreased concentrations of mediators of the inflammatory response: interleukin-8, C-reactive protein, and tumor necrosis factor α.

Conclusions: Clinical status at baseline and not levels of plasma-free hemoglobin or the systemic inflammatory response may determine the requirement for prolonged extracorporeal membrane oxygenation support in neonates.
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http://dx.doi.org/10.1097/PCC.0000000000002173DOI Listing
April 2020

Multi-Level Features Extraction for Discontinuous Target Tracking in Remote Sensing Image Monitoring.

Sensors (Basel) 2019 Nov 7;19(22). Epub 2019 Nov 7.

Institute of Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland.

Many techniques have been developed for computer vision in the past years. Features extraction and matching are the basis of many high-level applications. In this paper, we propose a multi-level features extraction for discontinuous target tracking in remote sensing image monitoring. The features of the reference image are pre-extracted at different levels. The first-level features are used to roughly check the candidate targets and other levels are used for refined matching. With Gaussian weight function introduced, the support of matching features is accumulated to make a final decision. Adaptive neighborhood and principal component analysis are used to improve the description of the feature. Experimental results verify the efficiency and accuracy of the proposed method.
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http://dx.doi.org/10.3390/s19224855DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891746PMC
November 2019

Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records.

Comput Math Methods Med 2019 20;2019:9079840. Epub 2019 Mar 20.

Institute of Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland.

Coreference resolution is a challenging part of natural language processing (NLP) with applications in machine translation, semantic search and other information retrieval, and decision support systems. Coreference resolution requires linguistic preprocessing and rich language resources for automatically identifying and resolving such expressions. Many rarer and under-resourced languages (such as Lithuanian) lack the required language resources and tools. We present a method for coreference resolution in Lithuanian language and its application for processing e-health records from a hospital reception. Our novelty is the ability to process coreferences with minimal linguistic resources, which is important in linguistic applications for rare and endangered languages. The experimental results show that coreference resolution is applicable to the development of NLP-powered online healthcare services in Lithuania.
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http://dx.doi.org/10.1155/2019/9079840DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446105PMC
November 2019

A Multi-Agent Gamification System for Managing Smart Homes.

Sensors (Basel) 2019 Mar 12;19(5). Epub 2019 Mar 12.

Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland.

Rapid development and conducted experiments in the field of the introduction the fifth generation of the mobile network standard allow for the flourishing of the Internet of Things. This is one of the most important reasons to design and test systems that can be implemented to increase the quality of our lives. In this paper, we propose a system model for managing tasks in smart homes using multi-agent solutions. The proposed solution organizes work and distributes tasks to individual family members. An additional advantage is the introduction of gamification, not only between household members, but also between families. The solution was tested to simulate the entire solution as well as the individual components that make up the system. The proposal is described with regard to the possibility of implementing smart homes in future projects.
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http://dx.doi.org/10.3390/s19051249DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427340PMC
March 2019

A Smartphone Application for Automated Decision Support in Cognitive Task Based Evaluation of Central Nervous System Motor Disorders.

IEEE J Biomed Health Inform 2019 09 9;23(5):1865-1876. Epub 2019 Jan 9.

Background And Objective: New technology enables constant boost to the powers of mobile devices, which in the previous years have transformed from simple mobile phones to smart phones. Computational powers of these electronics enable actions that previously were possible only for computers. By the use of special applications, we may benefit from sensors and multimedia capabilities of operating systems. Therefore, a new era for devoted implementations opens, in which a smart application can take a role of computing system to estimate the symptoms of diseases by evaluating signals coming from a human body.

Methods: We propose a model of an application implemented for mobile android systems, which can be used for examination of central nervous system motor disorders occurring in patients suffering from Huntington (HD), Alzheimer, or Parkinson diseases. In particular, the model tracks tremors (involuntary movements), and cognitive (memory loss or dementia) impairments using touch and visual stimulus modalities. The proposed model interprets the symptoms from human bodies that indicate one of the diseases of the nervous system. Pre-processing of collected data for feature extraction is executed on a mobile device by using core functionality and methods provided in android's application programming interface. The information is evaluated by a back-propagation neural network classifier and the result is presented to the end user. The system is able to contact medical supervision and provide an assistance from the clinic.

Results: The system uses a collected dataset of 1928 records, taken from 11 HD patients and 11 healthy persons in Lithuania, to gather statistics about examinations and presents the results as medical evaluation with prediction on the state of health. The accuracy of recognition of early, prodromal symptoms for central nervous system motor disorders is 86.4% (F-measure 0.859). The app (available on Google Play) is easy to use and is efficient tool for decision support in medical examinations.

Conclusions: The use of intelligent apps which can help to evaluate neurodegenerative disorders is an important enhancement to medical diagnosis. The developed smartphone app supports the doctor with additional results that are easy to compare with other examinations. This kind of examination is a nice change from classic stereotypes, especially for younger age patients, who are used to various aspects of information technology.
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http://dx.doi.org/10.1109/JBHI.2019.2891729DOI Listing
September 2019

Systematic review and meta-analysis of experimental studies evaluating the organ protective effects of histone deacetylase inhibitors.

Transl Res 2019 03 22;205:1-16. Epub 2018 Nov 22.

Department of Cardiovascular Sciences and NIHR Leicester Biomedical Research Unit in Cardiovascular Medicine, University of Leicester, Clinical Sciences Wing, Glenfield Hospital, Leicester, UK.

The clinical efficacy of organ protection interventions are limited by the redundancy of cellular activation mechanisms. Interventions that target epigenetic mechanisms overcome this by eliciting genome wide changes in transcription and signaling. We aimed to review preclinical studies evaluating the organ protection effects of histone deacetylase inhibitors (HDACi) with a view to informing the design of early phase clinical trials. A systematic literature search was performed. Methodological quality was assessed against prespecified criteria. The primary outcome was mortality, with secondary outcomes assessing mechanisms. Prespecified analyses evaluated the effects of likely moderators on heterogeneity. The analysis included 101 experimental studies in rodents (n = 92) and swine (n = 9), exposed to diverse injuries, including: ischemia (n = 72), infection (n = 7), and trauma (n = 22). There were a total of 448 comparisons due to the evaluation of multiple independent interventions within single studies. Sodium valproate (VPA) was the most commonly evaluated HDACi (50 studies, 203 comparisons). All of the studies were judged to have significant methodological limitations. HDACi reduced mortality in experimental models of organ injury (risk ratio = 0.52, 95% confidence interval 0.40-0.68, p < 0.001) without heterogeneity. HDACi administration resulted in myocardial, brain and kidney protection across diverse species and injuries that was attributable to increases in prosurvival cell signaling, and reductions in inflammation and programmed cell death. Heterogeneity in the analyses of secondary outcomes was explained by differences in species, type of injury, HDACi class (Class I better), drug (trichostatin better), and time of administration (at least 6 hours prior to injury better). These findings highlight a potential novel application for HDACi in clinical settings characterized by acute organ injury.
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http://dx.doi.org/10.1016/j.trsl.2018.11.002DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386580PMC
March 2019

Multimodal imaging of the receptor for advanced glycation end-products with molecularly targeted nanoparticles.

Theranostics 2018 5;8(18):5012-5024. Epub 2018 Oct 5.

Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL.

The receptor for advanced glycation end-products (RAGE) is central to multiple disease states, including diabetes-related conditions such as peripheral arterial disease (PAD). Despite RAGE's importance in these pathologies, there remains a need for a molecular imaging agent that can accurately assess RAGE levels . Therefore, we have developed a multimodal nanoparticle-based imaging agent targeted at RAGE with the well-characterized RAGE ligand, carboxymethyllysine (CML)-modified human serum albumin (HSA). A multimodal tracer (Cu-Rho-G4-CML) was developed using a generation-4 (G4) polyamidoamine (PAMAM) dendrimer, conjugated with both rhodamine and copper-64 (Cu) chelator (NOTA) for optical and PET imaging, respectively. First, Cu-Rho-G4-CML and its non-targeted analogue (Cu-Rho-G4-HSA) were evaluated chemically using techniques such as dynamic light scattering (DLS), electron microscopy and nuclear magnetic resonance (NMR). The tracers' binding capabilities were examined at the cellular level and optimized using live and fixed HUVEC cells grown in 5.5-30 mM glucose, followed by PET-CT imaging, where the probes' kinetics, biodistribution, and RAGE targeting properties were examined in a murine model of hindlimb ischemia. Finally, histological assessment of RAGE levels in both ischemic and non-ischemic tissues was performed. Our RAGE-targeted probe demonstrated an average size of 450 nm, a Kd of 340-390 nM, rapid blood clearance, and a 3.4 times greater PET uptake in ischemic RAGE-expressing hindlimbs than their non-ischemic counterpart. We successfully demonstrated increased RAGE expression in a murine model of hindlimb ischemia and the feasibility for non-invasive examination of cellular, tissue, and whole-body RAGE levels with a molecularly targeted tracer.
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http://dx.doi.org/10.7150/thno.24791DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6217059PMC
September 2019

Effect of sildenafil (Revatio) on postcardiac surgery acute kidney injury: a randomised, placebo-controlled clinical trial: the REVAKI-2 trial protocol.

Open Heart 2018;5(2):e000838. Epub 2018 Oct 18.

Department of Cardiovascular Sciences and NIHR Leicester Biomedical Research Centre, Cardiovascular Theme, University of Leicester, Glenfield Hospital, Leicester, UK.

Introduction: Acute kidney injury (AKI) is a common and severe complication of cardiac surgery. The administration of pharmacological renoprotective agents during the perioperative period could prevent or reduce the severity of AKI and improve clinical outcomes. Experimental studies suggest that sildenafil may have therapeutic potential for the prevention of AKI. This trial will test the hypothesis that postoperative AKI will be reduced in cardiac surgery patients if they receive sildenafil compared with placebo.

Methods And Analysis: Adult cardiac surgery patients 18 years of age or above undergoing cardiac surgery with cardiopulmonary bypass and cardioplegic arrest at a single tertiary cardiac centre in the UK will be randomised in a 1:1 ratio to receive either sildenafil or placebo. The primary outcome is serum creatinine concentration measured at preoperation and daily for up to 7 days postoperatively. Secondary outcomes will include measures of inflammation, organ injury, volumes of blood transfused and resource use. Allocation concealment, internet-based randomisation stratified by operation type, and blinding of outcome assessors will reduce the risk of bias. A sample size of 112 patients will have a 90% power to detect a mean difference of 10 μmol/L for serum creatinine values between treatment and placebo control groups with an alpha value of 0.05.

Ethics And Dissemination: The trial protocol was approved by a UK ethics committee (reference 15/YH/0489). The trial findings will be disseminated in scientific journals and meetings.

Trial Registration Number: ISRCTN18386427.
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http://dx.doi.org/10.1136/openhrt-2018-000838DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6196934PMC
October 2018

A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis.

Neural Netw 2018 Dec 8;108:331-338. Epub 2018 Sep 8.

Institute of Mathematics, Silesian University of Technology, Poland. Electronic address:

In this paper a novel training technique is proposed to offer an efficient solution for neural network training in non-trivial and critical applications such as the diagnosis of health threatening illness. The presented technique aims to enhance the generalization capability of a neural network while preserving its sensitivity and precision. The implemented method has been devised in order to slowly increase, during training, the generalization capabilities of a Radial Basis Probabilistic Neural Network classifier, as well as preventing it from over-generalization and the consequent lack of resulting classification performances. The developed method was tested on Electrocardiograms. These latter are generally considered non-trivial both due to the difficulty to recognize some anomalous heart activities, and due to the intermittent nature of abnormal beat occurrences. The implemented training method obtained satisfactory performances, sensitivity and precision while showing high generalization capabilities.
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http://dx.doi.org/10.1016/j.neunet.2018.08.023DOI Listing
December 2018

An Intelligent System for Monitoring Skin Diseases.

Sensors (Basel) 2018 Aug 4;18(8). Epub 2018 Aug 4.

Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland.

The practical increase of interest in intelligent technologies has caused a rapid development of all activities in terms of sensors and automatic mechanisms for smart operations. The implementations concentrate on technologies which avoid unnecessary actions on user side while examining health conditions. One of important aspects is the constant inspection of the skin health due to possible diseases such as melanomas that can develop under excessive influence of the sunlight. Smart homes can be equipped with a variety of motion sensors and cameras which can be used to detect and identify possible disease development. In this work, we present a smart home system which is using in-built sensors and proposed artificial intelligence methods to diagnose the skin health condition of the residents of the house. The proposed solution has been tested and discussed due to potential use in practice.
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http://dx.doi.org/10.3390/s18082552DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111999PMC
August 2018

Combining Cryptography with EEG Biometrics.

Comput Intell Neurosci 2018 22;2018:1867548. Epub 2018 May 22.

Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland.

Cryptographic frameworks depend on key sharing for ensuring security of data. While the keys in cryptographic frameworks must be correctly reproducible and not unequivocally connected to the identity of a user, in biometric frameworks this is different. Joining cryptography techniques with biometrics can solve these issues. We present a biometric authentication method based on the discrete logarithm problem and Bose-Chaudhuri-Hocquenghem (BCH) codes, perform its security analysis, and demonstrate its security characteristics. We evaluate a biometric cryptosystem using our own dataset of electroencephalography (EEG) data collected from 42 subjects. The experimental results show that the described biometric user authentication system is effective, achieving an Equal Error Rate (ERR) of 0.024.
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http://dx.doi.org/10.1155/2018/1867548DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5987295PMC
October 2018

An Observational Cohort Feasibility Study to Identify Microvesicle and Micro-RNA Biomarkers of Acute Kidney Injury Following Pediatric Cardiac Surgery.

Pediatr Crit Care Med 2018 09;19(9):816-830

Department of Cardiovascular Sciences and NIHR Cardiovascular Biomedical Research Unit, University of Leicester, Glenfield Hospital, Leicester, United Kingdom.

Objectives: Micro-RNA, small noncoding RNA fragments involved in gene regulation, and microvesicles, membrane-bound particles less than 1 μm known to regulate cellular processes including responses to injury, may serve as disease-specific biomarkers of acute kidney injury. We evaluated the feasibility of measuring these signals as well as other known acute kidney injury biomarkers in a mixed pediatric cardiac surgery population.

Design: Single center prospective cohort feasibility study.

Setting: PICU.

Patients: Twenty-four children (≤ 17 yr) undergoing cardiac surgery with cardiopulmonary bypass without preexisting inflammatory state, acute kidney injury, or extracorporeal life support.

Interventions: None.

Measurements And Main Results: Acute kidney injury was defined according to modified Kidney Diseases Improving Global Outcomes criteria. Blood and urine samples were collected preoperatively and at 6-12 and 24 hours. Microvesicles derivation was assessed using flow cytometry and NanoSight analysis. Micro-RNAs were isolated from plasma and analyzed by microarray and quantitative real-time polymerase chain reaction. Data completeness for the primary outcomes was 100%. Patients with acute kidney injury (n = 14/24) were younger, underwent longer cardiopulmonary bypass, and required greater inotrope support. Acute kidney injury subjects had different fractional content of platelets and endothelial-derived microvesicles before surgery. Platelets and endothelial microvesicles levels were higher in acute kidney injury patients. A number of micro-RNA species were differentially expressed in acute kidney injury patients. Pathway analysis of candidate target genes in the kidney suggested that the most often affected pathways were phosphatase and tensin homolog and signal transducer and activator of transcription 3 signaling.

Conclusions: Microvesicles and micro-RNAs expression patterns in pediatric cardiac surgery patients can be measured in children and potentially serve as tools for stratification of patients at risk of acute kidney injury.
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http://dx.doi.org/10.1097/PCC.0000000000001604DOI Listing
September 2018