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https://www.readbyqxmd.com/read/28102432/synthesis-of-human-parainfluenza-virus-4-nucleocapsid-like-particles-in-yeast-and-their-use-for-detection-of-virus-specific-antibodies-in-human-serum
#1
Aistė Bulavaitė, Rita Lasickienė, Paulius Lukas Tamošiūnas, Martynas Simanavičius, Kęstutis Sasnauskas, Aurelija Žvirblienė
The aim of this study was to produce human parainfluenza virus type 4 (HPIV4) nucleocapsid (N) protein in yeast Saccharomyces cerevisiae expression system, to explore its structural and antigenic properties and to evaluate its applicability in serology. The use of an optimized gene encoding HPIV4 N protein amino acid (aa) sequence GenBank AGU90031.1 allowed high yield of recombinant N protein forming nucleocapsid-like particles (NLPs) in yeast. A substitution L332D disrupted self-assembly of NLPs, confirming the role of this position in the N proteins of Paramyxovirinae...
January 19, 2017: Applied Microbiology and Biotechnology
https://www.readbyqxmd.com/read/28088931/development-of-medical-treatment-for-eye-injuries-in-the-mainland-of-china-over-the-past-decade
#2
Chang-Guan Wang, Zhi-Zhong Ma
In the article, the development of medical treatment for eye injuries in the mainland of China was reviewed. According to the data provided in Eye Injury Vitrectomy Study (EIVS), 27% of 72 eyes with no light perception (NLP) gained recovery in term of antomy and visual function. Vitrectomy initiated at more than 4 weeks after open eye injury is an independent risk factor for developing PVR. Prognosis of anatomy and visual function of the injured eye with PVR is markedly worse than that without PVR. Serious injuries of ciliary body, choroid and retina are three key parts of the eye with NLP...
December 1, 2016: Chinese Journal of Traumatology, Zhonghua Chuang Shang za Zhi
https://www.readbyqxmd.com/read/28062449/context-sensitive-network-based-disease-genetics-prediction-and-its-implications-in-drug-discovery
#3
Yang Chen, Rong Xu
MOTIVATION: Disease phenotype networks play an important role in computational approaches to identifying new disease-gene associations. Current disease phenotype networks often model disease relationships based on pairwise similarities, therefore ignore the specific context on how two diseases are connected. In this study, we propose a new strategy to model disease associations using context-sensitive networks (CSNs). We developed a CSN-based phenome-driven approach for disease genetics prediction, and investigated the translational potential of the predicted genes in drug discovery...
January 5, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28056067/prevention-of-evisceration-or-enucleation-in-endogenous-bacterial-panophthalmitis-with-no-light-perception-and-scleral-abscess
#4
Kuan-Jen Chen, Yen-Po Chen, An-Ning Chao, Nan-Kai Wang, Wei-Chi Wu, Chi-Chun Lai, Tun-Lu Chen
Panophthalmitis is the most extensive ocular involvement in endophthalmitis with inflammation in periocular tissues. Severe inflammation of the anterior and posterior segments is frequently accompanied by corneal opacity, scleral abscess, and perforation or rupture. Enucleation or evisceration was the only remaining viable treatment option when all options to salvage the eye had been exhausted. The purpose of this retrospective study is to examine the outcomes of patients with endogenous bacterial panophthalmitis, no light perception and scleral abscess who were treated with multiple intravitreal and periocular injections of antibiotics and dexamethasone...
2017: PloS One
https://www.readbyqxmd.com/read/28052483/natural-language-processing-to-ascertain-two-key-variables-from-operative-reports-in-ophthalmology
#5
Liyan Liu, Neal H Shorstein, Laura B Amsden, Lisa J Herrinton
PURPOSE: Antibiotic prophylaxis is critical to ophthalmology and other surgical specialties. We performed natural language processing (NLP) of 743 838 operative notes recorded for 315 246 surgeries to ascertain two variables needed to study the comparative effectiveness of antibiotic prophylaxis in cataract surgery. The first key variable was an exposure variable, intracameral antibiotic injection. The second was an intraoperative complication, posterior capsular rupture (PCR), which functioned as a potential confounder...
January 3, 2017: Pharmacoepidemiology and Drug Safety
https://www.readbyqxmd.com/read/28050745/an-evolving-ecosystem-for-natural-language-processing-in-department-of-veterans-affairs
#6
Jennifer H Garvin, Megha Kalsy, Cynthia Brandt, Stephen L Luther, Guy Divita, Gregory Coronado, Doug Redd, Carrie Christensen, Brent Hill, Natalie Kelly, Qing Zeng Treitler
In an ideal clinical Natural Language Processing (NLP) ecosystem, researchers and developers would be able to collaborate with others, undertake validation of NLP systems, components, and related resources, and disseminate them. We captured requirements and formative evaluation data from the Veterans Affairs (VA) Clinical NLP Ecosystem stakeholders using semi-structured interviews and meeting discussions. We developed a coding rubric to code interviews. We assessed inter-coder reliability using percent agreement and the kappa statistic...
February 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28050714/characterization-of-change-and-significance-for-clinical-findings-in-radiology-reports-through-natural-language-processing
#7
Saeed Hassanpour, Graham Bay, Curtis P Langlotz
We built a natural language processing (NLP) method to automatically extract clinical findings in radiology reports and characterize their level of change and significance according to a radiology-specific information model. We utilized a combination of machine learning and rule-based approaches for this purpose. Our method is unique in capturing different features and levels of abstractions at surface, entity, and discourse levels in text analysis. This combination has enabled us to recognize the underlying semantics of radiology report narratives for this task...
January 3, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28043865/investigation-of-the-cutaneous-penetration-behavior-of-dexamethasone-loaded-to-nano-sized-lipid-particles-by-epr-spectroscopy-and-confocal-raman-and-laser-scanning-microscopy
#8
Silke B Lohan, Siavash Saeidpour, Agnieszka Solik, Sabine Schanzer, Heike Richter, Pin Dong, Maxim E Darvin, Roland Bodmeier, Alexa Patzelt, Gaith Zoubari, Michael Unbehauen, Rainer Haag, Jürgen Lademann, Christian Teutloff, Robert Bittl, Martina C Meinke
An improvement of the penetration efficiency combined with the controlled release of actives in the skin can facilitate the medical treatment of skin diseases immensely. Dexamethasone (Dx), a synthetic glucocorticoid, is frequently used for the treatment of inflammatory skin diseases. To investigate the penetration of nano-sized lipid particles (NLP) loaded with Dx in comparison to a commercially available base cream, different techniques were applied. Electron paramagnetic resonance (EPR) spectroscopy was used to monitor the penetration of Dx, which was covalently labeled with the spin probe 3-(Carboxy)-2,2,5,5-tetramethyl-1-pyrrolidinyloxy (PCA)...
December 30, 2016: European Journal of Pharmaceutics and Biopharmaceutics
https://www.readbyqxmd.com/read/28034982/enhancing-risk-assessment-in-patients-receiving-chronic-opioid-analgesic-therapy-using-natural-language-processing
#9
Irina V Haller, Colleen M Renier, Mitch Juusola, Paul Hitz, William Steffen, Michael J Asmus, Terri Craig, Jack Mardekian, Elizabeth T Masters, Thomas E Elliott
OBJECTIVES:  Clinical guidelines for the use of opioids in chronic noncancer pain recommend assessing risk for aberrant drug-related behaviors prior to initiating opioid therapy. Despite recent dramatic increases in prescription opioid misuse and abuse, use of screening tools by clinicians continues to be underutilized. This research evaluated natural language processing (NLP) together with other data extraction techniques for risk assessment of patients considered for opioid therapy as a means of predicting opioid abuse...
December 29, 2016: Pain Medicine: the Official Journal of the American Academy of Pain Medicine
https://www.readbyqxmd.com/read/28032554/detection-of-clinically-important-colorectal-surgical-site-infection-using-bayesian-network
#10
Sunghwan Sohn, David W Larson, Elizabeth B Habermann, James M Naessens, Jasim Y Alabbad, Hongfang Liu
BACKGROUND: Despite extensive efforts to monitor and prevent surgical site infections (SSIs), real-time surveillance of clinical practice has been sparse and expensive or nonexistent. However, natural language processing (NLP) and machine learning (i.e., Bayesian network analysis) may provide the methodology necessary to approach this issue in a new way. We investigated the ability to identify SSIs after colorectal surgery (CRS) through an automated detection system using a Bayesian network...
October 5, 2016: Journal of Surgical Research
https://www.readbyqxmd.com/read/28025145/direct-transcriptional-activation-of-bt-genes-by-nlp-transcription-factors-is-a-key-component-of-the-nitrate-response-in-arabidopsis
#11
Takeo Sato, Shugo Maekawa, Mineko Konishi, Nozomi Yoshioka, Yuki Sasaki, Haruna Maeda, Tetsuya Ishida, Yuki Kato, Junji Yamaguchi, Shuichi Yanagisawa
Nitrate modulates growth and development, functioning as a nutrient signal in plants. Although many changes in physiological processes in response to nitrate have been well characterized as nitrate responses, the molecular mechanisms underlying the nitrate response are not yet fully understood. Here, we show that NLP transcription factors, which are key regulators of the nitrate response, directly activate the nitrate-inducible expression of BT1 and BT2 encoding putative scaffold proteins with a plant-specific domain structure in Arabidopsis...
January 29, 2017: Biochemical and Biophysical Research Communications
https://www.readbyqxmd.com/read/28004039/building-an-evaluation-scale-using-item-response-theory
#12
John P Lalor, Hao Wu, Hong Yu
Evaluation of NLP methods requires testing against a previously vetted gold-standard test set and reporting standard metrics (accuracy/precision/recall/F1). The current assumption is that all items in a given test set are equal with regards to difficulty and discriminating power. We propose Item Response Theory (IRT) from psychometrics as an alternative means for gold-standard test-set generation and NLP system evaluation. IRT is able to describe characteristics of individual items - their difficulty and discriminating power - and can account for these characteristics in its estimation of human intelligence or ability for an NLP task...
November 2016: Proc Conf Empir Methods Nat Lang Process
https://www.readbyqxmd.com/read/27993006/classical-challenges-in-the-physical-chemistry-of-polymer-networks-and-the-design-of-new-materials
#13
Rui Wang, Michelle K Sing, Reginald K Avery, Bruno S Souza, Minkyu Kim, Bradley D Olsen
Polymer networks are widely used from commodity to biomedical materials. The space-spanning, net-like structure gives polymer networks their advantageous mechanical and dynamic properties, the most essential factor that governs their responses to external electrical, thermal, and chemical stimuli. Despite the ubiquity of applications and a century of active research on these materials, the way that chemistry and processing interact to yield the final structure and the material properties of polymer networks is not fully understood, which leads to a number of classical challenges in the physical chemistry of gels...
December 20, 2016: Accounts of Chemical Research
https://www.readbyqxmd.com/read/27981925/comparison-of-presentation-and-outcome-in-100-pediatric-hodgkin-lymphoma-patients-treated-at-children-hospital-lahore-pakistan-and-royal-marsden-hospital-uk
#14
Mahwish Faizan, Mary M Taj, Saadia Anwar, Nyla Asghar, Alia Ahmad, Donna Lancaster, Ayad Atra, Agha Shabbir Ali
OBJECTIVE: To compare differences in demographics and outcomes in childhood Hodgkin lymphoma (HL) presenting at the Children's Hospital Lahore (CHL), and Royal Marsden Hospital (RMH), UK. STUDY DESIGN: An observational comparative study. PLACE AND DURATION OF STUDY: From January 2011 to February 2012 at CH, Lahore and from October 2008 to February 2012 at RMH, UK. METHODOLOGY: Consecutive HL patients (50 from each hospital) were inducted...
November 2016: Journal of the College of Physicians and Surgeons—Pakistan: JCPSP
https://www.readbyqxmd.com/read/27977903/elementary-my-dear-watson-the-era-of-natural-language-processing-in-transplantation
#15
EDITORIAL
Bing Ho, Anton Skaro, Samantha Montag, Lihui Zhao
The use of modern data acquisition and analytics commonly in use in the technology sector by Google, IBM, and others have long been the envy of the health services researcher. In this issue, Srinivas et al. have demonstrated feasibility in the use of data mining and natural language processing (NLP) in data abstraction.(1) In their study they developed predictive models for graft loss and patient survival in kidney transplantation using single-center retrospective data. This article is protected by copyright...
December 15, 2016: American Journal of Transplantation
https://www.readbyqxmd.com/read/27965891/the-outcome-of-endoscopic-transethmosphenoid-optic-canal-decompression-for-indirect-traumatic-optic-neuropathy-with-no-light-perception
#16
Bo Yu, Yingjie Ma, Yunhai Tu, Wencan Wu
Purpose. To present the safety and effect of endoscopic transethmosphenoid optic canal decompression (ETOCD) for indirect traumatic optic neuropathy (ITON) patients with no-light-perception (NLP). Methods. A retrospective study performed on 96 patients (96 eyes) with NLP after ITON between June 1, 2010, and June 1, 2015, who underwent ETOCD, was reviewed. Visual outcome before and after treatment was taken into comparison. Results. The overall visual acuity improvement rate after surgery was 46.9%. The improvement rates of visual acuity of patients who received treatment within 3 days of injury, 3-7 days after injury, and later than 7 days were 63...
2016: Journal of Ophthalmology
https://www.readbyqxmd.com/read/27959834/simplifying-ehr-overview-of-critically-ill-patients-through-vital-signs-monitoring
#17
Adnan Vilic, Karsten Hoppe, John Petersen, Troels Kjaer, Helge Sorensen
This paper presents a novel data-driven approach to graphical presentation of text-based electronic health records (EHR) while maintaining all textual information. We have developed the Patient Condition Timeline (PCT) tool, which creates a timeline representation of a patients' physiological condition during admission. PCT is based on electronical monitoring of vital signs and then combining these into Early Warning Scores (EWS). Hereafter, techniques from Natural Language Processing (NLP) are applied on existing EHR to extract all entries...
December 9, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/27927935/large-scale-identification-of-patients-with-cerebral-aneurysms-using-natural-language-processing
#18
Victor M Castro, Dmitriy Dligach, Sean Finan, Sheng Yu, Anil Can, Muhammad Abd-El-Barr, Vivian Gainer, Nancy A Shadick, Shawn Murphy, Tianxi Cai, Guergana Savova, Scott T Weiss, Rose Du
OBJECTIVE: To use natural language processing (NLP) in conjunction with the electronic medical record (EMR) to accurately identify patients with cerebral aneurysms and their matched controls. METHODS: ICD-9 and Current Procedural Terminology codes were used to obtain an initial data mart of potential aneurysm patients from the EMR. NLP was then used to train a classification algorithm with .632 bootstrap cross-validation used for correction of overfitting bias. The classification rule was then applied to the full data mart...
January 10, 2017: Neurology
https://www.readbyqxmd.com/read/27919387/impacts-of-structuring-the-electronic-health-record-results-of-a-systematic-literature-review-from-the-perspective-of-secondary-use-of-patient-data
#19
REVIEW
Riikka Vuokko, Päivi Mäkelä-Bengs, Hannele Hyppönen, Minna Lindqvist, Persephone Doupi
PURPOSE: To explore the impacts that structuring of electronic health records (EHRs) has had from the perspective of secondary use of patient data as reflected in currently published literature. This paper presents the results of a systematic literature review aimed at answering the following questions; (1) what are the common methods of structuring patient data to serve secondary use purposes; (2) what are the common methods of evaluating patient data structuring in the secondary use context, and (3) what impacts or outcomes of EHR structuring have been reported from the secondary use perspective...
January 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/27903489/finding-important-terms-for-patients-in-their-electronic-health-records-a-learning-to-rank-approach-using-expert-annotations
#20
Jinying Chen, Jiaping Zheng, Hong Yu
BACKGROUND: Many health organizations allow patients to access their own electronic health record (EHR) notes through online patient portals as a way to enhance patient-centered care. However, EHR notes are typically long and contain abundant medical jargon that can be difficult for patients to understand. In addition, many medical terms in patients' notes are not directly related to their health care needs. One way to help patients better comprehend their own notes is to reduce information overload and help them focus on medical terms that matter most to them...
November 30, 2016: JMIR Medical Informatics
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