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https://www.readbyqxmd.com/read/28532008/biomaterials-and-cells-for-neural-tissue-engineering-current-choices
#1
REVIEW
Prerana Sensharma, G Madhumathi, Rahul D Jayant, Amit K Jaiswal
The treatment of nerve injuries has taken a new dimension with the development of tissue engineering techniques. Prior to tissue engineering, suturing and surgery were the only options for effective treatment. With the advent of tissue engineering, it is now possible to design a scaffold that matches the exact biological and mechanical properties of the tissue. This has led to substantial reduction in the complications posed by surgeries and suturing to the patients. New synthetic and natural polymers are being applied to test their efficiency in generating an ideal scaffold...
August 1, 2017: Materials Science & Engineering. C, Materials for Biological Applications
https://www.readbyqxmd.com/read/28525381/the-cell-of-origin-dictates-the-temporal-course-of-neurofibromatosis-1-nf1-low-grade-glioma-formation
#2
Anne C Solga, Joseph A Toonen, Yuan Pan, Patrick J Cimino, Yu Ma, Guillaume A Castillon, Scott M Gianino, Mark H Ellisman, Da Yong Lee, David H Gutmann
Low-grade gliomas are one of the most common brain tumors in children, where they frequently form within the optic pathway (optic pathway gliomas; OPGs). Since many OPGs occur in the context of the Neurofibromatosis Type 1 (NF1) cancer predisposition syndrome, we have previously employed Nf1 genetically-engineered mouse (GEM) strains to study the pathogenesis of these low-grade glial neoplasms. In the light of the finding that human and mouse low-grade gliomas are composed of Olig2+ cells and that Olig2+ oligodendrocyte precursor cells (OPCs) give rise to murine high-grade gliomas, we sought to determine whether Olig2+ OPCs could be tumor-initiating cells for Nf1 optic glioma...
May 3, 2017: Oncotarget
https://www.readbyqxmd.com/read/28524068/detection-of-magnetic-field-properties-using-distributed-sensing-a-computational-neuroscience-approach
#3
Brian K Taylor, Sönke Johnsen, Kenneth J Lohmann
Diverse taxa use Earth's magnetic field to aid both short- and long-distance navigation. Study of these behaviors has led to a variety of postulated sensory and processing mechanisms that remain unconfirmed. Although several models have been proposed to explain and understand these mechanisms' underpinnings, they have not necessarily connected a putative sensory signal to the nervous system. Using mathematical software simulation, hardware testing and the computational neuroscience tool of dynamic neural fields, the present work implements a previously developed conceptual model for processing magnetite-based magnetosensory data...
May 19, 2017: Bioinspiration & Biomimetics
https://www.readbyqxmd.com/read/28522397/cellulose-acetate-poly-lactic-acid-coaxial-wet-electrospun-scaffold-containing-citalopram-loaded-gelatin-nanocarriers-for-neural-tissue-engineering-applications
#4
Mahdi Naseri-Nosar, Majid Salehi, Shahriar Hojjati-Emami
The current study aimed to develop a biodegradable three-dimensional drug-loaded scaffold with the core-shell structured fibrils using coaxial wet-electrospinning for neural tissue engineering application. Poly lactic acid was wet-electrospun as the core, whereas cellulose acetate was fabricated into the fibril's shell. The scaffold then was coated with citalopram-loaded gelatin nanocarriers (CGNs) produced by nanoprecipitation. Scanning electron microscope observation revealed that the fibrils formed a nonwoven structure with the average diameter of ∼950nm...
May 15, 2017: International Journal of Biological Macromolecules
https://www.readbyqxmd.com/read/28513252/a-novel-model-based-on-fcm-lm-algorithm-for-prediction-of-protein-folding-rate
#5
Longlong Liu, Mingjiao Ma, Jing Cui
The prediction of protein folding rates is of paramount importance in describing the protein folding mechanism, which has broad applications in fields such as enzyme engineering and protein engineering. Therefore, predicting protein folding rates using the first-order of protein sequence, secondary structure and amino acid properties has become a very active research topic in recent years. This paper presents a new fuzzy cognitive map (FCM) model based on deep learning neural networks which uses data obtained from biological experiments to predict the protein folding rate...
April 25, 2017: Journal of Bioinformatics and Computational Biology
https://www.readbyqxmd.com/read/28507726/adapting-tissue-engineered-in-vitro-cns-models-for-high-throughput-study-of-neurodegeneration
#6
Caitriona O'Rourke, Charlotte Lee-Reeves, Rosemary Al Drake, Grant Ww Cameron, A Jane Loughlin, James B Phillips
Neurodegenerative conditions remain difficult to treat, with the continuing failure to see therapeutic research successfully advance to clinical trials. One of the obstacles that must be overcome is to develop enhanced models of disease. Tissue engineering techniques enable us to create organised artificial central nervous system tissue that has the potential to improve the drug development process. This study presents a replicable model of neurodegenerative pathology through the use of engineered neural tissue co-cultures that can incorporate cells from various sources and allow degeneration and protection of neurons to be observed easily and measured, following exposure to neurotoxic compounds - okadaic acid and 1-methyl-4-phenylpyridinium...
January 2017: Journal of Tissue Engineering
https://www.readbyqxmd.com/read/28507695/ani-1-an-extensible-neural-network-potential-with-dft-accuracy-at-force-field-computational-cost
#7
J S Smith, O Isayev, A E Roitberg
Deep learning is revolutionizing many areas of science and technology, especially image, text, and speech recognition. In this paper, we demonstrate how a deep neural network (NN) trained on quantum mechanical (QM) DFT calculations can learn an accurate and transferable potential for organic molecules. We introduce ANAKIN-ME (Accurate NeurAl networK engINe for Molecular Energies) or ANI for short. ANI is a new method designed with the intent of developing transferable neural network potentials that utilize a highly-modified version of the Behler and Parrinello symmetry functions to build single-atom atomic environment vectors (AEV) as a molecular representation...
April 1, 2017: Chemical Science
https://www.readbyqxmd.com/read/28507240/mathematical-methods-in-medicine-neuroscience-cardiology-and-pathology
#8
José M Amigó, Michael Small
The application of mathematics, natural sciences and engineering to medicine is gaining momentum as the mutual benefits of this collaboration become increasingly obvious. This theme issue is intended to highlight the trend in the case of mathematics. Specifically, the scope of this theme issue is to give a general view of the current research in the application of mathematical methods to medicine, as well as to show how mathematics can help in such important aspects as understanding, prediction, treatment and data processing...
June 28, 2017: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
https://www.readbyqxmd.com/read/28507125/effective-control-of-complex-turbulent-dynamical-systems-through-statistical-functionals
#9
Andrew J Majda, Di Qi
Turbulent dynamical systems characterized by both a high-dimensional phase space and a large number of instabilities are ubiquitous among complex systems in science and engineering, including climate, material, and neural science. Control of these complex systems is a grand challenge, for example, in mitigating the effects of climate change or safe design of technology with fully developed shear turbulence. Control of flows in the transition to turbulence, where there is a small dimension of instabilities about a basic mean state, is an important and successful discipline...
May 15, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28506904/ordinal-convolutional-neural-networks-for-predicting-rdoc-positive-valence-psychiatric-symptom-severity-scores
#10
Anthony Rios, Ramakanth Kavuluru
BACKGROUND: The CEGS N-GRID 2016 Shared Task in Clinical Natural Language Processing (NLP) provided a set of 1000 neuropsychiatric notes to participants as part of a competition to predict psychiatric symptom severity scores. This paper summarizes our methods, results, and experiences based on our participation in the second track of the shared task. OBJECTIVE: Classical methods of text classification usually fall into one of three problem types: binary, multi-class, and multi-label classification...
May 12, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28505985/upper-limb-robotics-applied-to%C3%A2-neurorehabilitation-an-overview-of%C3%A2-clinical-practice
#11
Christophe Duret, Stefano Mazzoleni
BACKGROUND: During the last two decades, extensive interaction between clinicians and engineers has led to the development of systems that stimulate neural plasticity to optimize motor recovery after neurological lesions. This has resulted in the expansion of the field of robotics for rehabilitation. Studies in patients with stroke-related upper-limb paresis have shown that robotic rehabilitation can improve motor capacity. However, few other applications have been evaluated (e.g. tremor, peripheral nerve injuries or other neurological diseases)...
May 10, 2017: NeuroRehabilitation
https://www.readbyqxmd.com/read/28505596/engineered-hydrogels-increase-the-post-transplantation-survival-of-encapsulated-hesc-derived-midbrain-dopaminergic-neurons
#12
Maroof M Adil, Tandis Vazin, Badriprasad Ananthanarayanan, Gonçalo M C Rodrigues, Antara T Rao, Rishikesh U Kulkarni, Evan W Miller, Sanjay Kumar, David V Schaffer
Cell replacement therapies have broad biomedical potential; however, low cell survival and poor functional integration post-transplantation are major hurdles that hamper clinical benefit. For example, following striatal transplantation of midbrain dopaminergic (mDA) neurons for the treatment of Parkinson's disease (PD), only 1-5% of the neurons typically survive in preclinical models and in clinical trials. In general, resource-intensive generation and implantation of larger numbers of cells are used to compensate for the low post-transplantation cell-survival...
May 5, 2017: Biomaterials
https://www.readbyqxmd.com/read/28503544/update-on-foregut-molecular-embryology-and-role-of-regenerative-medicine-therapies
#13
REVIEW
Silvia Perin, Conor J McCann, Osvaldo Borrelli, Paolo De Coppi, Nikhil Thapar
Esophageal atresia (OA) represents one of the commonest and most severe developmental disorders of the foregut, the most proximal segment of the gastrointestinal (GI) tract (esophagus and stomach) in embryological terms. Of intrigue is the common origin from this foregut of two very diverse functional entities, the digestive and respiratory systems. OA appears to result from incomplete separation of the ventral and dorsal parts of the foregut during development, resulting in disruption of esophageal anatomy and frequent association with tracheo-oesophageal fistula...
2017: Frontiers in Pediatrics
https://www.readbyqxmd.com/read/28503305/three-dimensional-conjugation-of-recombinant-n-cadherin-to-a-hydrogel-for-in-vitro-anisotropic-neural-growth
#14
Johana C M Vega L, Min Kyung Lee, Ellen C Qin, Max Rich, Kwan Young Lee, Dong Hyun Kim, Hee Jung Chung, Deborah E Leckband, Hyunjoon Kong
Living cells are extensively being studied to build functional tissues that are useful for both fundamental and applied bioscience studies. Increasing evidence suggests that cell-cell adhesion controlled by intercellular cadherin junction plays important roles in the quality of the resulting engineered tissue. These findings prompted efforts to interrogate biological effects of cadherin at a molecular scale; however, few efforts were made to harness the effects of cadherin on cells cultured in an in vivo-like three dimensional matrix...
November 14, 2016: Journal of Materials Chemistry. B, Materials for Biology and Medicine
https://www.readbyqxmd.com/read/28502909/character-level-neural-network-for-biomedical-named-entity-recognition
#15
Mourad Gridach
Biomedical named entity recognition (BNER), which extracts important named entities such as genes and proteins, is a challenging task in automated systems that mine knowledge in biomedical texts. The previous state-of-the-art systems required large amounts of task-specific knowledge in the form of feature engineering, lexicons and data pre-processing to achieve high performance. In this paper, we introduce a novel neural network architecture that benefits from both word- and character-level representations automatically, by using a combination of bidirectional long short-term memory (LSTM) and conditional random field (CRF) eliminating the need for most feature engineering tasks...
May 11, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28501398/machine-learning-based-calving-prediction-from-activity-lying-and-ruminating-behaviors-in-dairy-cattle
#16
M R Borchers, Y M Chang, K L Proudfoot, B A Wadsworth, A E Stone, J M Bewley
The objective of this study was to use automated activity, lying, and rumination monitors to characterize prepartum behavior and predict calving in dairy cattle. Data were collected from 20 primiparous and 33 multiparous Holstein dairy cattle from September 2011 to May 2013 at the University of Kentucky Coldstream Dairy. The HR Tag (SCR Engineers Ltd., Netanya, Israel) automatically collected neck activity and rumination data in 2-h increments. The IceQube (IceRobotics Ltd., South Queensferry, United Kingdom) automatically collected number of steps, lying time, standing time, number of transitions from standing to lying (lying bouts), and total motion, summed in 15-min increments...
May 10, 2017: Journal of Dairy Science
https://www.readbyqxmd.com/read/28494208/enhanced-proliferation-and-neuronal-differentiation-of-neural-stem-cell-with-vertically-surface-microenvironment
#17
Qiuting Yan, Lipao Fang, Jiyu Wei, Guipeng Xiao, Meihong Lv, Quanhong Ma, Chunfeng Liu, Wang Wang
Owing to its biocompatibility, noncytotoxicity, biodegradability and three-dimensional structure, vertically silicon nanowires (SiNWs) arrays are a promising scaffold material for tissue engineering, regenerative medicine and relevant medical applications. Recently, its osteogenic differentiation effects, reorganization of cytoskeleton and regulation of the fate on stem cells have been demonstrated. However, it still remains unknown whether SiNWs arrays could affect the proliferation and neuronal differentiation of neural stem cells (NSCs) or not...
May 11, 2017: Journal of Biomaterials Science. Polymer Edition
https://www.readbyqxmd.com/read/28490744/precision-radiology-predicting-longevity-using-feature-engineering-and-deep-learning-methods-in-a-radiomics-framework
#18
Luke Oakden-Rayner, Gustavo Carneiro, Taryn Bessen, Jacinto C Nascimento, Andrew P Bradley, Lyle J Palmer
Precision medicine approaches rely on obtaining precise knowledge of the true state of health of an individual patient, which results from a combination of their genetic risks and environmental exposures. This approach is currently limited by the lack of effective and efficient non-invasive medical tests to define the full range of phenotypic variation associated with individual health. Such knowledge is critical for improved early intervention, for better treatment decisions, and for ameliorating the steadily worsening epidemic of chronic disease...
May 10, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28490427/effect-of-acute-intraocular-pressure-elevation-on-the-minimum-rim-width-in-normal-ocular-hypertensive-and-glaucoma-eyes
#19
Sourabh Sharma, Tin A Tun, Mani Baskaran, Eray Atalay, Sri Gowtham Thakku, Zhang Liang, Dan Milea, Nicholas G Strouthidis, Tin Aung, Michael Ja Girard
BACKGROUND: To estimate and compare changes in the Bruch's membrane opening-minimum rim width (BMO-MRW) and area in normal, ocular hypertensive and glaucoma eyes following acute elevations in intraocular pressure (IOP). METHODS: The optic nerve heads (ONHs) of 104 subjects (31 normals, 20 ocular hypertension (OHT) and 53 with primary glaucoma) were imaged using Spectral-domain optical coherence tomography (OCT; Spectralis, Heidelberg Engineering, Germany). IOP was raised twice by applying a force (0...
May 10, 2017: British Journal of Ophthalmology
https://www.readbyqxmd.com/read/28489540/nonlinear-frequency-domain-analysis-of-the-transformation-of-cortical-inputs-by-a-motoneuron-pool-muscle-complex
#20
Renato Watanabe, Andre Kohn
Corticomotor coherence in the beta and/or gamma bands has been described in different motor tasks but the role of descending brain oscillations on force control has been elusive. Large-scale computational models of a motoneuron pool and the muscle it innervates have been used as tools to advance the knowledge of how neural elements may influence force control. Here we present a frequency domain analysis of a NARX model fitted to a large-scale neuromuscular model by means of generalized frequency response functions (GFRF)...
May 4, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
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