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https://www.readbyqxmd.com/read/29334348/assessing-the-readiness-of-precision-medicine-interoperabilty-an-exploratory-study-of-the-national-institutes-of-health-genetic-testing-registry
#1
Jay G Ronquillo, Chunhua Weng, William T Lester
BACKGROUND:   Precision medicine involves three major innovations currently taking place in healthcare:  electronic health records, genomics, and big data.  A major challenge for healthcare providers, however, is understanding the readiness for practical application of initiatives like precision medicine. OBJECTIVE:   To better understand the current state and challenges of precision medicine interoperability using a national genetic testing registry as a starting point, placed in the context of established interoperability formats...
November 17, 2017: Journal of Innovation in Health Informatics
https://www.readbyqxmd.com/read/29334346/in-this-issue-prerequisites-for-precision-medicine-are-genomics-computerised-medical-record-systems-and-big-data-analytics
#2
Simon De Lusignan
No abstract text is available yet for this article.
January 12, 2018: Journal of Innovation in Health Informatics
https://www.readbyqxmd.com/read/29331684/reprogramming-neurodegeneration-in-the-big-data-era
#3
REVIEW
Lujia Zhou, Patrik Verstreken
Recent genome-wide association studies (GWAS) have identified numerous genetic risk variants for late-onset Alzheimer's disease (AD) and Parkinson's disease (PD). However, deciphering the functional consequences of GWAS data is challenging due to a lack of reliable model systems to study the genetic variants that are often of low penetrance and non-coding identities. Pluripotent stem cell (PSC) technologies offer unprecedented opportunities for molecular phenotyping of GWAS variants in human neurons and microglia...
January 10, 2018: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/29329571/environmental-exposures-and-fetal-growth-the-haifa-pregnancy-cohort-study
#4
Rachel Golan, Itai Kloog, Ronit Almog, Anat Gesser-Edelsburg, Maya Negev, Maya Jolles, Varda Shalev, Vered H Eisenberg, Gideon Koren, Wiessam Abu Ahmad, Hagai Levine
BACKGROUND: The developing fetus is susceptible to environmental insults. Studying the effects of environmental exposures on fetal growth is essential for understanding the causal pathway between prenatal exposures and pregnancy outcomes. Here we describe the Haifa Pregnancy Cohort Study (HPCS) and discuss challenges and opportunities in applying "big data" paradigm. METHODS: Maccabi Healthcare Services (MHS), is the second largest Israeli health maintenance organization (HMO) providing care services to two million beneficiaries...
January 12, 2018: BMC Public Health
https://www.readbyqxmd.com/read/29326411/-semantic-network-analysis-of-online-news-and-social-media-text-related-to-comprehensive-nursing-care-service
#5
Minji Kim, Mona Choi, Yoosik Youm
PURPOSE: As comprehensive nursing care service has gradually expanded, it has become necessary to explore the various opinions about it. The purpose of this study is to explore the large amount of text data regarding comprehensive nursing care service extracted from online news and social media by applying a semantic network analysis. METHODS: The web pages of the Korean Nurses Association (KNA) News, major daily newspapers, and Twitter were crawled by searching the keyword 'comprehensive nursing care service' using Python...
December 2017: Journal of Korean Academy of Nursing
https://www.readbyqxmd.com/read/29324777/assessing-an-effective-undergraduate-module-teaching-applied-bioinformatics-to-biology-students
#6
Andreas Madlung
Applied bioinformatics skills are becoming ever more indispensable for biologists, yet incorporation of these skills into the undergraduate biology curriculum is lagging behind, in part due to a lack of instructors willing and able to teach basic bioinformatics in classes that don't specifically focus on quantitative skill development, such as statistics or computer sciences. To help undergraduate course instructors who themselves did not learn bioinformatics as part of their own education and are hesitant to plunge into teaching big data analysis, a module was developed that is written in plain-enough language, using publicly available computing tools and data, to allow novice instructors to teach next-generation sequence analysis to upper-level undergraduate students...
January 2018: PLoS Computational Biology
https://www.readbyqxmd.com/read/29324649/machine-learning-methods-for-analysis-of-metabolic-data-and-metabolic-pathway-modeling
#7
REVIEW
Miroslava Cuperlovic-Culf
Machine learning uses experimental data to optimize clustering or classification of samples or features, or to develop, augment or verify models that can be used to predict behavior or properties of systems. It is expected that machine learning will help provide actionable knowledge from a variety of big data including metabolomics data, as well as results of metabolism models. A variety of machine learning methods has been applied in bioinformatics and metabolism analyses including self-organizing maps, support vector machines, the kernel machine, Bayesian networks or fuzzy logic...
January 11, 2018: Metabolites
https://www.readbyqxmd.com/read/29322794/integrated-analysis-of-the-rna-seq-data-of-liver-hepatocellular-carcinoma
#8
H Xue, L Luo, Y T Yao, L L Wei, S P Deng, X L Huang
The present study aimed to explore the genetic changes involved in the liver hepatocellular carcinoma (HCC) development. The RNA-Seq data of 212 HCC tissue samples and 50 normal tissue samples were downloaded using TCGA-Assembler. A total of 4 subgroups were obtained, and 4167, 6279, 5379, and 2548 DEGs were screened in group 1, group 2, group 3, and group 4, respectively. Enrichment analysis found that cell cycle, metabolism, and translation related terms were the most significantly changed functions and pathways...
2018: Neoplasma
https://www.readbyqxmd.com/read/29321918/reproductive-management-in-dairy-cows-the-future
#9
REVIEW
Mark A Crowe, Miel Hostens, Geert Opsomer
Background: Drivers of change in dairy herd health management include the significant increase in herd/farm size, quota removal (within Europe) and the increase in technologies to aid in dairy cow reproductive management. Main body: There are a number of key areas for improving fertility management these include: i) handling of substantial volumes of data, ii) genetic selection (including improved phenotypes for use in breeding programmes), iii) nutritional management (including transition cow management), iv) control of infectious disease, v) reproductive management (and automated systems to improve reproductive management), vi) ovulation / oestrous synchronisation, vii) rapid diagnostics of reproductive status, and viii) management of male fertility...
2018: Irish Veterinary Journal
https://www.readbyqxmd.com/read/29320406/a-police-and-insurance-joint-management-system-based-on-high-precision-bds-gps-positioning
#10
Wenwei Zuo, Chi Guo, Jingnan Liu, Xuan Peng, Min Yang
Car ownership in China reached 194 million vehicles at the end of 2016. The traffic congestion index (TCI) exceeds 2.0 during rush hour in some cities. Inefficient processing for minor traffic accidents is considered to be one of the leading causes for road traffic jams. Meanwhile, the process after an accident is quite troublesome. The main reason is that it is almost always impossible to get the complete chain of evidence when the accident happens. Accordingly, a police and insurance joint management system is developed which is based on high precision BeiDou Navigation Satellite System (BDS)/Global Positioning System (GPS) positioning to process traffic accidents...
January 10, 2018: Sensors
https://www.readbyqxmd.com/read/29319159/leveraging-big-data-in-pediatric-development-programs-proceedings-from-the-2016-american-college-of-clinical-pharmacology-annual-meeting-symposium
#11
REVIEW
Lily Yeruk Mulugeta, Lynne Yao, Diane Mould, Brian Jacobs, Jeffrey Florian, Brian Smith, Vikram Sinha, Jeffrey S Barrett
This article discusses the use of big data in pediatric drug development. The article covers key topics discussed at the ACCP annual meeting symposium in 2016 including the extent to which big data or real-world data can inform clinical trial design and substitute for efficacy and safety data typically obtained in clinical trials. The current states of use, opportunities, and challenges with the use of big data in future pediatric drug development are discussed.
January 10, 2018: Clinical Pharmacology and Therapeutics
https://www.readbyqxmd.com/read/29318814/-information-work-of-national-census-of-traditional-chinese-medicine-resources
#12
Lu-Qi Huang, Xiao-Bo Zhang
In order to promote the protection, development and rational utilization on traditional Chinese medicine resources (TCM resoueces), the State Administration of Traditional Chinese Medicine is organizing and implementing the fourth national survey on TCM resources. Informatization is the core for this survey and is also one of the main innovative points which transcend the previous three surveys. The extensive application on informatization technology has not only improved the work efficiency of the survey, but also expanded the new development directions of TCM resources research...
November 2017: Zhongguo Zhong Yao za Zhi, Zhongguo Zhongyao Zazhi, China Journal of Chinese Materia Medica
https://www.readbyqxmd.com/read/29318002/the-hope-hype-and-reality-of-big-data-for-pharmacovigilance
#13
EDITORIAL
Andrew Bate, Robert F Reynolds, Patrick Caubel
No abstract text is available yet for this article.
January 2018: Therapeutic Advances in Drug Safety
https://www.readbyqxmd.com/read/29317334/systematic-identification-of-rabbit-lncrnas-reveals-functional-roles-in-atherosclerosis
#14
Jia Li, Qianlan Yao, Fangyoumin Feng, Sheng He, Ping Lin, Liguang Yang, Chuhua Yang, Hong Li, Yixue Li
Long noncoding RNAs (lncRNAs) have been gradually emerging as important regulators in various biological processes and diseases, while the contributions of lncRNAs to atherosclerosis remain largely unknown. Our previous work has discovered atherosclerosis associated protein-coding genes by transcriptome sequencing of rabbit models. Here we investigated the roles of lncRNAs in atherosclerosis. We defined a stringent set of 3736 multi-exonic lncRNA transcripts in rabbits. All lncRNAs are firstly reported and 609 (16...
January 6, 2018: Biochimica et Biophysica Acta
https://www.readbyqxmd.com/read/29315815/reference-intervals-of-carbohydrate-antigen-19-9-in-the-apparently-healthy-adult-population
#15
Gao-Ming Zhang, Shu-Mei Bai, Guo-Ming Zhang, Xiao-Bo Ma
BACKGROUND: To establish reference intervals of carbohydrate antigen 19-9(CA 19-9) according to the CLSI CA28-A3 guideline and to evaluate age- and gender-related variations. METHODS: Serum CA 19-9 values of 10 149 healthy subjects (from 20 years old to 60 years old) were measured from location health checkups. The relationship between CA 19-9 and age was analyzed using Spearman's approach. The reference intervals of CA19-9 were established using Q2.5 and Q97...
January 8, 2018: Journal of Clinical Laboratory Analysis
https://www.readbyqxmd.com/read/29315471/big-data-big-problems-causation-confounders-and-cohorts
#16
S W Choi, G T C Wong
No abstract text is available yet for this article.
January 8, 2018: Anaesthesia
https://www.readbyqxmd.com/read/29313940/big-data-in-small-diseases-the-case-of-necrotizing-soft-tissue-infections
#17
EDITORIAL
I Garcia-Doval, T Nijsten
No abstract text is available yet for this article.
December 2017: British Journal of Dermatology
https://www.readbyqxmd.com/read/29312694/a-big-data-approach-to-examine-the-association-of-high-density-lipoprotein-cholesterol-and-mortality-lessons-for-future-investigations
#18
EDITORIAL
Ziyad Al-Aly
No abstract text is available yet for this article.
December 2017: Journal of Thoracic Disease
https://www.readbyqxmd.com/read/29310484/pathology-proteomics-and-the-pathway-to-personalised-medicine
#19
Ping Jin, Jiang Lan, Kui Wang, Mark S Baker, Canhua Huang, Edouard C Nice
As we move from a discovery to a translational phase in proteomics, with a focus on developing validated clinical assays to assist personalized medicine, there is a growing need for strong bidirectional interactions with the clinical pathology community. Thus, while on one hand the proteomics community will provide candidate biomarkers to assist in diagnosis, prognosis, surveillance, identification of individualized patient medication and development and validation of new assays for diagnostic use, on the other the pathology community will assist with specific tissue identification and selection (e...
January 8, 2018: Expert Review of Proteomics
https://www.readbyqxmd.com/read/29308604/towards-precision-medicine-from-quantitative-imaging-to-radiomics
#20
U Rajendra Acharya, Yuki Hagiwara, Vidya K Sudarshan, Wai Yee Chan, Kwan Hoong Ng
Radiology (imaging) and imaging-guided interventions, which provide multi-parametric morphologic and functional information, are playing an increasingly significant role in precision medicine. Radiologists are trained to understand the imaging phenotypes, transcribe those observations (phenotypes) to correlate with underlying diseases and to characterize the images. However, in order to understand and characterize the molecular phenotype (to obtain genomic information) of solid heterogeneous tumours, the advanced sequencing of those tissues using biopsy is required...
2018: Journal of Zhejiang University. Science. B
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