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https://www.readbyqxmd.com/read/28227475/label-free-detection-of-sex-determining-region-y-sry-via-capacitive-biosensor
#1
Shilpa Sivashankar, Christos Sapsanis, Sumeyra Agambayev, Ulrich Buttner, Khaled Nabil Salama, Shilpa Sivashankar, Christos Sapsanis, Sumeyra Agambayev, Ulrich Buttner, Khaled Nabil Salama, Khaled Nabil Salama, Shilpa Sivashankar, Sumeyra Agambayev, Christos Sapsanis, Ulrich Buttner
In this work, we present for the first time, the use of a simple fractal capacitive biosensor for the quantification and detection of sex-determining region Y (SRY) genes. This section of genetic code, which is found on the Y chromosome, finds importance for study as it causes fetuses to develop characteristics of male sex-like gonads when a mutation occurs. It is also an important genetic code in men, and disorders involving the SRY gene can cause infertility and sexual malfunction that lead to a variety of gene mutational disorders...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227426/characterization-of-patient-specific-biventricular-mechanics-in-heart-failure-with-preserved-ejection-fraction-hyperelastic-warping
#2
Hua Zou, Xiaodan Zhao, Xi Ce, Lik Chuan Lee, Martin Genet, Yi Su, Rusan Tan, Liang Zhong, Hua Zou, Xiaodan Zhao, Xi Ce, Lik Chuan Lee, Martin Genet, Yi Su, Rusan Tan, Liang Zhong, Rusan Tan, Martin Genet, Hua Zou, Lik Chuan Lee, Yi Su, Liang Zhong, Xiaodan Zhao, Xi Ce
Heart failure with preserved ejection fraction (HFPEF) is considered as a major public health problem. Traditionally, HFPEF is diagnosed based on a "normal" EF, but the studies have explored the potential role of left ventricular mechanics. Furthermore, right ventricular mechanics and bi-ventricular interaction in HFPEF is currently not well understood. In this study, we aim to develop a framework using a hyperelastic warping approach to quantify bi-ventricular and septum strains from cardiac magnetic resonance (CMR) images...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227226/learning-approaches-to-improve-prediction-of-drug-sensitivity-in-breast-cancer-patients
#3
Turki Turki, Zhi Wei, Turki Turki, Zhi Wei, Turki Turki, Zhi Wei
Predicting drug response to cancer disease is an important problem in modern clinical oncology that attracted increasing recent attention from various domains such as computational biology, machine learning, and data mining. Cancer patients respond differently to each cancer therapy owing to disease diversity, genetic factors, and environmental causes. Thus, oncologists aim to identify the effective therapies for cancer patients and avoid adverse drug reactions in patients. By predicting the drug response to cancer, oncologists gain full understanding of the effective treatments on each patient, which leads to better personalized treatment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227225/integration-of-snps-fmri-methylation-data-with-sparse-multi-cca-for-schizophrenia-study
#4
Wenxing Hu, Dongdong Lin, Vince D Calhoun, Yu-Ping Wang, Wenxing Hu, Dongdong Lin, Vince D Calhoun, Yu-Ping Wang, Vince D Calhoun, Yu-Ping Wang, Wenxing Hu, Dongdong Lin
Schizophrenia (SZ) is a complex mental disorder associated with genetic variations, brain development and activities, and environmental factors. There is an increasing interest in combining genetic, epigenetic and neuroimaging datasets to explore different level of biomarkers for the correlation and interaction between these diverse factors. Sparse Multi-Canonical Correlation Analysis (sMCCA) is a powerful tool that can analyze the correlation of three or more datasets. In this paper, we propose the sMCCA model for imaging genomics study...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227132/effect-specific-analysis-of-pathogenic-snvs-in-human-interactome-leveraging-edge-based-network-robustness
#5
Hongzhu Cui, Dmitry Korkin, Hongzhu Cui, Dmitry Korkin, Dmitry Korkin, Hongzhu Cui
Study of genetic variants in the context of molecular networks has recently gained much attention. However, many of these studies suffer from the lack of functional information about the network rewiring effect of genetic variants. After large-scale homology modeling, plus extracting native structure from PDB database, we performed structure-based prediction about the rewiring effect using our SNP-IN tool, and it covers significantly more variants than experimental characterization. The analysis result confirms the widespread perturbations in human interactome and reveals the network rewiring behavior based on edge-based network robustness concept...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227051/optimal-decision-support-rules-improve-personalize-warfarin-treatment-outcomes
#6
Chih-Lin Chi, Kourosh Ravvaz, John Weissert, Peter J Tonellato, Chih-Lin Chi, Kourosh Ravvaz, John Weissert, Peter J Tonellato, Chih-Lin Chi, Kourosh Ravvaz, John Weissert, Peter J Tonellato
We tested optimization-based approaches to generate decision support rules used to improve personalized warfarin treatment based on clinical and genetic characteristics. Our approach simulated warfarin treatment outcomes using five existing treatment plans for clinical avatars (virtual patients). We used individual clinical avatar Time-in-Therapeutic-Range to represent the two-sided adverse risk to bleeding (over dosed - above therapeutic range) and thrombosis (under dosed - below therapeutic range) and as the objective function in the optimization to minimize overall risk...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226784/parameter-estimation-for-gene-regulatory-networks-a-two-stage-mcmc-bayesian-approach
#7
Niannan Xue, Wei Pan, Yike Guo, Niannan Xue, Wei Pan, Yike Guo, Wei Pan, Yike Guo, Niannan Xue
Genetic regulatory networks have emerged as a useful way to elucidate the biochemical pathways for biological functions. Yet, determination of the exact parametric forms for these models remain a major challenge. In this paper, we present a novel computational approach implemented in C++ to solve this inverse problem. This takes the form of an optimization stage first after which Bayesian filtering takes place. The key advantage of such a flexible, general and robust approach is that it provides us with a joint probability distribution of the model parameters instead of single estimates, which we can propagate to final predictions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226781/host-aware-modelling-of-a-synthetic-genetic-oscillator
#8
Alexander Darlington, Declan G Bates, Alexander Darlington, Declan G Bates, Alexander Darlington, Declan G Bates
Synthetic genetic circuits sometimes exhibit unexpected functionality or even fail entirely when implemented in vivo, due to the effects of interactions with the host cell that were not accounted for in the circuit's design. In this paper, we consider the effects that limitations in cellular resources have on the dynamics of a synthetic cellular oscillator. We show that incorporating these effects into a host-aware model of the synthetic oscillator results in significant changes in its dynamics, highlighting the need to take account of host-circuit interactions in mathematical models that are to be used as CAD tools for synthetic circuitry...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226777/predicting-schizophrenia-by-fusing-networks-from-snps-dna-methylation-and-fmri-data
#9
Su-Ping Deng, Dongdong Lin, Vince D Calhoun, Yu-Ping Wang, Su-Ping Deng, Dongdong Lin, Vince D Calhoun, Yu-Ping Wang, Vince D Calhoun, Su-Ping Deng, Yu-Ping Wang, Dongdong Lin
In order to comprehensively utilize complementary information from multiple types of data for better disease diagnosis, in this study, we applied a network fusion based approach to integrating three types of data including genetic, epigenetic and neuroimaging data from a study of schizophrenia patients (SCZ). A network is a map of interactions, which contributes to investigating the connectivity of components or links between sub-units. We exploited the potential of using networks as features for discriminating SCZ from healthy controls...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226773/biclustering-strategies-for-genetic-marker-selection-in-gynecologic-tumor-cell-lines
#10
A Alevyzaki, S Sfakianakis, E S Bei, E Obermayr, R Zeillinger, D Fotiadis, M Zervakis, A Alevyzaki, S Sfakianakis, E S Bei, E Obermayr, R Zeillinger, D Fotiadis, M Zervakis, R Zeillinger, D Fotiadis, E S Bei, S Sfakianakis, M Zervakis, A Alevyzaki, E Obermayr
Over the past few decades great interest has been focused on cell lines derived from tumors, because of their usability as models to understand the biology of cancer. At the same time, advanced technologies such as DNA-microarrays have been broadly used to study the expression level of thousands of genes in primary tumors or cancer cell lines in a single experiment. Results from microarray analysis approaches have provided valuable insights into the underlying biology and proven useful for tumor classification, prognostication and prediction...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226745/in-vivo-characterization-of-genetic-expression-of-virus-transduced-calcium-indicators-in-retinal-ganglion-cells-using-a-low-cost-funduscope
#11
Yao-Chuan Chang, Steven T Walston, Robert H Chow, James D Weiland, Yao-Chuan Chang, Steven T Walston, Robert H Chow, James D Weiland, Robert H Chow, Yao-Chuan Chang, Steven T Walston, James D Weiland
Virus-transduced calcium indicators are effective reporters of neural activity, offering the advantage of cell-specific labeling. To track the level of in vivo expression of genetically encoded calcium indicators (GECIs) in rodent retina, we developed a noninvasive imaging approach based on a custom-modified low-cost and simple fundus system that enabled us to monitor and characterize in vivo bright-field and fluorescence retinal image. The system clearly resolves individual retinal ganglion cells (RGCs) and axons...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226740/automated-morphometric-description-of-human-corneal-endothelium-from-in-vivo-specular-and-confocal-microscopy
#12
F Scarpa, A Ruggeri, F Scarpa, A Ruggeri, A Ruggeri, F Scarpa
Corneal images acquired by in-vivo specular and confocal microscopy provide clinical information on the cornea endothelium health state. Indeed, the normal hexagonal shape of endothelial cells is usually affected by age and pathologies. At present, the analysis is based on manual or semi-automatic methods and the segmentation of a large number of endothelial cells is required for a meaningful estimation of the clinical parameters. We propose an automated method that detects the centers of endothelial cells by convolving the original image with customized two-dimensional kernels, derives a structure made by connected vertices from the recognized centers using the Euclidean distance, and fine-tunes the derived structure through a genetic algorithm, which combines information about the typical regularity of endothelial cells shape with the pixels intensity of the actual image...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226658/on-an-analogue-signal-processing-circuit-in-the-nematode-c-elegans
#13
Roghieh Skandari, Yuichi Iino, Jonathan H Manton, Roghieh Skandari, Yuichi Iino, Jonathan H Manton, Roghieh Skandari, Yuichi Iino, Jonathan H Manton
In this work we will work on analogue signal processing in the neural circuit of C. elegans which is able to detect the analogue signals from the environment and produce locomotive behaviours which are in accordance with experiments. The signals in C. elegans are processed in a purely analogue procedure, since no action potential has been recorded in its neural activity. We aim to show how signal processing can be executed in analogue domain in a living creature. In order to do that we will model two different behaviours of C...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226643/genetic-algorithms-for-dipole-location-of-fetal-magnetocardiography
#14
D Escalona-Vargas, P Murphy, C L Lowery, H Eswaran, D Escalona-Vargas, P Murphy, C L Lowery, H Eswaran, C L Lowery, P Murphy, D Escalona-Vargas, H Eswaran
In this paper, we explore the use of Maximum Likelihood (ML) method with Genetic Algorithms (GA) as global optimization procedure for source reconstruction in fetal magnetocardiography (fMCG) data. A multiple equivalent current dipole (ECD) model was used for sources active in different time samples. Inverse solutions across time were obtained for a single-dipole approximation to estimate the trajectory of the dipole position. We compared the GA and SIMPLEX methods in a simulation environment under noise conditions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226599/identifying-glaucoma-patients-by-applying-multivariate-analyses-of-cardiovascular-signals
#15
Andreas Voss, Claudia Fischer, Cristina Gonzalez Martinez, Eva Koch, Niklas Plange, Kathleen Kunert, Andreas Voss, Claudia Fischer, Cristina Gonzalez Martinez, Eva Koch, Niklas Plange, Kathleen Kunert, Claudia Fischer, Kathleen Kunert, Niklas Plange, Cristina Gonzalez Martinez, Eva Koch, Andreas Voss
Glaucoma is a disease that damages the eye's optic nerve. However, the exact cause of this optic nerve damage is not yet fully understood. Besides the factors of age, genetics and others, such as obesity, medication and migraines, a vascular dysfunction is believed to be a significant factor leading to glaucoma. This study's objective was to investigate whether these vascular dysfunctions could be recognized by analyzing cardiovascular regulation in glaucoma patients. Linear and nonlinear methods were applied to the extracted heart rate (HR), and systolic/ diastolic blood pressure (DBP) time series to discriminate between 35 healthy controls and 20 glaucoma patients...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226441/intelligent-hearing-aids-the-next-revolution
#16
Tao Zhang, Fred Mustiere, Christophe Micheyl, Tao Zhang, Fred Mustiere, Christophe Micheyl, Tao Zhang, Christophe Micheyl, Fred Mustiere
The first revolution in hearing aids came from nonlinear amplification, which allows better compensation for both soft and loud sounds. The second revolution stemmed from the introduction of digital signal processing, which allows better programmability and more sophisticated algorithms. The third revolution in hearing aids is wireless, which allows seamless connectivity between a pair of hearing aids and with more and more external devices. Each revolution has fundamentally transformed hearing aids and pushed the entire industry forward significantly...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226398/dysregulation-of-interleukin-5-expression-in-familial-eosinophilia
#17
Senbagavalli Prakash Babu, Yun-Yun K Chen, Sandra Bonne-Annee, Jun Yang, Irina Maric, Timothy G Myers, Thomas B Nutman, Amy D Klion
BACKGROUND: Familial eosinophilia (FE) is a rare autosomal dominant inherited disorder characterized by the presence of lifelong peripheral eosinophilia (>1500/μL). Mapped to chromosome 5q31-q33, the genetic cause of FE is unknown, and prior studies have failed to demonstrate a primary abnormality in the eosinophil lineage. OBJECTIVE: The aim of the present study was to identify the cells driving the eosinophilia in FE. METHODS: Microarray analysis and real-time PCR were used to examine transcriptional differences in peripheral blood mononuclear cells (PBMC), and in purified cell subsets from affected and unaffected family members belonging to a single large kindred...
February 22, 2017: Allergy
https://www.readbyqxmd.com/read/28226328/a-de-novo-pericentric-inversion-in-chromosome-4-associated-with-disruption-of-pitx2-and-a-microdeletion-in-4p15-2-in-a-patient-with-axenfeld-rieger-syndrome-and-developmental-delay
#18
Živilė Maldžienė, Eglė Preikšaitienė, Salomėja Ignotienė, Natalija Kapitanova, Algirdas Utkus, Vaidutis Kučinskas
Axenfeld-Rieger syndrome (ARS) is a clinically and genetically heterogeneous group of autosomal dominantly inherited malformations that predominantly affect the eye but are also associated with craniofacial dysmorphism and dental abnormalities. A broad spectrum of genetic alterations involving PITX2 and FOXC1 lead to ARS. We report on a 4-year-old girl with clinical features of ARS and developmental delay due to a de novo apparently balanced pericentric inversion in chromosome 4. This report emphasizes that complementary investigations are necessary to precisely characterize chromosomal rearrangements...
February 23, 2017: Cytogenetic and Genome Research
https://www.readbyqxmd.com/read/28226326/psoriasis-and-obesity
#19
Peter Jensen, Lone Skov
Psoriasis is a common chronic inflammatory skin disease with a complex pathogenesis consisting of a genetic component, immune dysfunction, and environmental factors. It is associated with numerous comorbidities including psoriatic arthritis, cardiovascular disease, metabolic syndrome, and obesity. Evidence suggests that obesity is a risk factor for incident psoriasis, aggravates existing psoriasis, and that weight reduction may improve the severity of psoriasis in overweight individuals. Excess body weight may interfere with the medical treatment used in psoriasis and adds to the cardiovascular risk profile in these patients, which underscores the importance of effective weight control regimens...
February 23, 2017: Dermatology: International Journal for Clinical and Investigative Dermatology
https://www.readbyqxmd.com/read/28226291/cell-free-synthetic-biology-for-environmental-sensing-and-remediation
#20
REVIEW
David K Karig
The fields of biosensing and bioremediation leverage the phenomenal array of sensing and metabolic capabilities offered by natural microbes. Synthetic biology provides tools for transforming these fields through complex integration of natural and novel biological components to achieve sophisticated sensing, regulation, and metabolic function. However, the majority of synthetic biology efforts are conducted in living cells, and concerns over releasing genetically modified organisms constitute a key barrier to environmental applications...
February 19, 2017: Current Opinion in Biotechnology
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