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https://www.readbyqxmd.com/read/29351403/project-on-the-good-physician-further-evidence-for-the-validity-of-a-moral-intuitionist-model-of-virtuous-caring
#1
G Michael Leffel, Ross A Oakes Mueller, Sandra A Ham, Kyle E Karches, Farr A Curlin, John D Yoon
THEORY: In the Project on the Good Physician, the authors propose a moral intuitionist model of virtuous caring that places the virtues of Mindfulness, Empathic Compassion, and Generosity at the heart of medical character education. HYPOTHESES: Hypothesis 1a: The virtues of Mindfulness, Empathic Compassion, and Generosity will be positively associated with one another (convergent validity). Hypothesis 1b: The virtues of Mindfulness and Empathic Compassion will explain variance in the action-related virtue of Generosity beyond that predicted by Big Five personality traits alone (discriminant validity)...
January 19, 2018: Teaching and Learning in Medicine
https://www.readbyqxmd.com/read/29351341/labeling-for-big-data-in-radiation-oncology-the-radiation-oncology-structures-ontology
#2
Jean-Emmanuel Bibault, Eric Zapletal, Bastien Rance, Philippe Giraud, Anita Burgun
PURPOSE: Leveraging Electronic Health Records (EHR) and Oncology Information Systems (OIS) has great potential to generate hypotheses for cancer treatment, since they directly provide medical data on a large scale. In order to gather a significant amount of patients with a high level of clinical details, multicenter studies are necessary. A challenge in creating high quality Big Data studies involving several treatment centers is the lack of semantic interoperability between data sources...
2018: PloS One
https://www.readbyqxmd.com/read/29351178/using-time-referenced-data-to-assess-medication-administration-performance-and-quality
#3
John M Welton, Catherine Kleiner, Carolyn Valdez, Sara Richardson, Kathy Boyle, Eric Lucas
OBJECTIVE: This study tests the feasibility of using a large (big) clinical data set to test the ability to extract time-referenced data related to medication administration to identify late doses and as-needed (PRN) administration patterns by RNs in an inpatient setting. METHODS: The study is a secondary analysis of a set of data using bar-code medication administration time stamps (n = 3043812) for 50883 patients admitted to a single, urban, 525-bed hospital in 11 inpatient units by 714 nurses between April 1, 2013, and March 31, 2015...
February 2018: Journal of Nursing Administration
https://www.readbyqxmd.com/read/29350398/use-of-computational-functional-genomics-in-drug-discovery-and-repurposing-for-analgesic-indications
#4
Jörn Lötsch, Dario Kringel
The novel research area of functional genomics investigates biochemical, cellular, or physiological properties of gene products with the goal of understanding the relationship between the genome and the phenotype. These developments have made analgesic drug research a data-rich discipline mastered only by making use of parallel developments in computer science, including the establishment of knowledge bases, mining methods for big data, machine-learning, and artificial intelligence, (Table ) which will be exemplarily introduced in the following...
January 19, 2018: Clinical Pharmacology and Therapeutics
https://www.readbyqxmd.com/read/29348444/toxicdocs-www-toxicdocs-org-from-history-buried-in-stacks-of-paper-to-open-searchable-archives-online
#5
EDITORIAL
David Rosner, Gerald Markowitz, Merlin Chowkwanyun
As a result of a legal mechanism called discovery, the authors accumulated millions of internal corporate and trade association documents related to the introduction of new products and chemicals into workplaces and commerce. What did these private entities discuss among themselves and with their experts? The plethora of documents, both a blessing and a curse, opened new sources and interesting questions about corporate and regulatory histories. But they also posed an almost insurmountable challenge to historians...
February 2018: Journal of Public Health Policy
https://www.readbyqxmd.com/read/29346749/statistical-challenges-in-big-data-human-neuroimaging
#6
Stephen M Smith, Thomas E Nichols
Smith and Nichols discuss "big data" human neuroimaging studies, with very large subject numbers and amounts of data. These studies provide great opportunities for making new discoveries about the brain but raise many new analytical challenges and interpretational risks.
January 17, 2018: Neuron
https://www.readbyqxmd.com/read/29344773/beyond-content-cultural-perspectives-on-using-the-internet-to-deliver-a-sexual-health-intervention-to-american-indian-youth
#7
Kirsten J Black, Bradley Morse, Nicole Tuitt, CeCe Big Crow, Carly Shangreau, Carol E Kaufman
American Indian and Alaska Native (AIAN) youth are characterized by high rates of pregnancy and risky sexual behavior. Reaching these youth with culturally appropriate interventions is difficult due to geographic dispersion and cultural isolation. Online interventions can provide opportunities for reaching and engaging AIAN youth. However, electronic interventions are also impersonal and this can be culturally incongruous for AIANs and other populations for whom traditional ceremonies, practices and patterns of interpersonal communication are central...
January 17, 2018: Journal of Primary Prevention
https://www.readbyqxmd.com/read/29343505/revisiting-criteria-for-plant-mirna-annotation-in-the-era-of-big-data
#8
Michael J Axtell, Blake C Meyers
No abstract text is available yet for this article.
January 17, 2018: Plant Cell
https://www.readbyqxmd.com/read/29342232/informational-and-linguistic-analysis-of-large-genomic-sequence-collections-via-efficient-hadoop-cluster-algorithms
#9
Umberto Ferraro Petrillo, Gianluca Roscigno, Giuseppe Cattaneo, Raffaele Giancarlo
Motivation: Information theoretic and compositional/linguistic analysis of genomes have a central role in bioinformatics, even more so since the associated methodologies are becoming very valuable also for epigenomic and meta-genomic studies. The kernel of those methods is based on the collection of k-mer statistics, i.e., how many times each k-mer in {A;C; G; T}k occurs in a DNA sequence. Although this problem is computationally very simple and efficiently solvable on a conventional computer, the sheer amount of data available now in applications demands to resort to parallel and distributed computing...
January 12, 2018: Bioinformatics
https://www.readbyqxmd.com/read/29341027/developing-deep-learning-applications-for-life-science-and-pharma-industry
#10
Daniel Siegismund, Vasily Tolkachev, Stephan Heyse, Beate Sick, Oliver Duerr, Stephan Steigele
Deep Learning has boosted artificial intelligence over the past 5 years and is seen now as one of the major technological innovation areas, predicted to replace lots of repetitive, but complex tasks of human labor within the next decade. It is also expected to be 'game changing' for research activities in pharma and life sciences, where large sets of similar yet complex data samples are systematically analyzed. Deep learning is currently conquering formerly expert domains especially in areas requiring perception, previously not amenable to standard machine learning...
January 16, 2018: Drug Research
https://www.readbyqxmd.com/read/29340799/fully-automated-life-support-an-implementation-and-feasibility-pilot-study-in-healthy-pigs
#11
Wilfried Klingert, Jörg Peter, Christian Thiel, Karolin Thiel, Wolfgang Rosenstiel, Kathrin Klingert, Christian Grasshoff, Alfred Königsrainer, Martin Schenk
BACKGROUND: Automated systems are available in various application areas all over the world for the purpose of reducing workload and increasing safety. However, such support systems that would aid caregivers are still lacking in the medical sector. With respect to workload and safety, especially, the intensive care unit appears to be an important and challenging application field. Whereas many closed-loop subsystems for single applications already exist, no comprehensive system covering multiple therapeutic aspects and interactions is available yet...
January 16, 2018: Intensive Care Medicine Experimental
https://www.readbyqxmd.com/read/29340744/highlight-report-big-data-in-the-3r-s-outlook-and-recommendations-a-roundtable-summary
#12
EDITORIAL
C Mahony, R Currie, G Daston, N Kleinstreuer, B van de Water
No abstract text is available yet for this article.
January 16, 2018: Archives of Toxicology
https://www.readbyqxmd.com/read/29340580/population-specific-biomarkers-of-human-aging-a-big-data-study-using-south-korean-canadian-and-eastern-european-patient-populations
#13
Polina Mamoshina, Kirill Kochetov, Evgeny Putin, Franco Cortese, Alexander Aliper, Won-Suk Lee, Sung-Min Ahn, Lee Uhn, Neil Skjodt, Olga Kovalchuk, Morten Scheibye-Knudsen, Alex Zhavoronkov
Accurate and physiologically meaningful biomarkers for human aging are key to assessing anti-aging therapies. Given ethnic differences in health, diet, lifestyle, behaviour, environmental exposures and even average rate of biological aging, it stands to reason that aging clocks trained on datasets obtained from specific ethnic populations are more likely to account for these potential confounding factors, resulting in an enhanced capacity to predict chronological age and quantify biological age. Here we present a deep learning-based hematological aging clock modeled using the large combined dataset of Canadian, South Korean and Eastern European population blood samples that show increased predictive accuracy in individual populations compared to population-specific hematologic aging clocks...
January 11, 2018: Journals of Gerontology. Series A, Biological Sciences and Medical Sciences
https://www.readbyqxmd.com/read/29340066/clinicopathological-and-prognostic-significance-of-sdc1-overexpression-in-breast-cancer
#14
Xiangrong Cui, Xuan Jing, Qin Yi, Chunlan Long, Jie Tian, Jing Zhu
Background: Breast cancer is the leading cause of cancer death among global women, and its early diagnosis and treatment are very urgent. Syndecan-1 (SDC1) is a heparin sulfate proteoglycan, which has been linked with the prognosis and treatment response in a various tumor type. To investigate whether SDC1 can serve as a prognostic indictor in breast cancer, bioinformatic analyses were performed in the present study. Methods: SDC1 expression was assessed using Oncomine analysis...
December 19, 2017: Oncotarget
https://www.readbyqxmd.com/read/29337872/mutation-analysis-in-cultured-cells-of-transgenic-rodents
#15
REVIEW
Ahmad Besaratinia, Albert Zheng, Steven E Bates, Stella Tommasi
To comply with guiding principles for the ethical use of animals for experimental research, the field of mutation research has witnessed a shift of interest from large-scale in vivo animal experiments to small-sized in vitro studies. Mutation assays in cultured cells of transgenic rodents constitute, in many ways, viable alternatives to in vivo mutagenicity experiments in the corresponding animals. A variety of transgenic rodent cell culture models and mutation detection systems have been developed for mutagenicity testing of carcinogens...
January 16, 2018: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/29337803/from-big-data-to-artificial-intelligence-harnessing-data-routinely-collected-in-the-process-of-care
#16
Barret Rush, David J Stone, Leo Anthony Celi
No abstract text is available yet for this article.
February 2018: Critical Care Medicine
https://www.readbyqxmd.com/read/29335863/integrative-medicine-on-optimizing-clopidogrel-and-aspirin-therapy
#17
REVIEW
Hui Chen
This article reviews the available published data on optimizing clopidogrel and aspirin therapy using translational and integrative medicine. Translational and evidence-based medical studies show that the CYP2C19 gene mutation (CYP2C19*2 and CYP2C19*3) could affect > 50% of the Chinese population, and that this mutation is closely associated with clopidogrel resistance and an increased risk of major adverse cardiovascular events, particularly stent thrombosis in patients following percutaneous coronary intervention (PCI)...
January 15, 2018: Chinese Journal of Integrative Medicine
https://www.readbyqxmd.com/read/29335851/the-relation-between-personality-informal-caregiving-life-satisfaction-and-health-related-quality-of-life-evidence-of-a-longitudinal-study
#18
André Hajek, Hans-Helmut König
PURPOSE: Personality characteristics of the caregiver might play a role in the relation between informal caregiving and health-related quality of life as well as life satisfaction. However, a limited body of research has examined this relation. This study aimed to examine the role personality characteristics of the caregiver might play in the relation between informal caregiving and well-being outcomes using a longitudinal approach. METHODS: Data were derived from the large Panel 'Labour Market and Social Security...
January 15, 2018: Quality of Life Research
https://www.readbyqxmd.com/read/29335670/big-data-and-neuroimaging
#19
Yenny Webb-Vargas, Shaojie Chen, Aaron Fisher, Amanda Mejia, Yuting Xu, Ciprian Crainiceanu, Brian Caffo, Martin A Lindquist
Big Data are of increasing importance in a variety of areas, especially in the biosciences. There is an emerging critical need for Big Data tools and methods, because of the potential impact of advancements in these areas. Importantly, statisticians and statistical thinking have a major role to play in creating meaningful progress in this arena. We would like to emphasize this point in this special issue, as it highlights both the dramatic need for statistical input for Big Data analysis and for a greater number of statisticians working on Big Data problems...
December 2017: Statistics in Biosciences
https://www.readbyqxmd.com/read/29335255/neighbourhood-looking-glass-360%C3%A2%C2%BA-automated-characterisation-of-the-built-environment-for-neighbourhood-effects-research
#20
Quynh C Nguyen, Mehdi Sajjadi, Matt McCullough, Minh Pham, Thu T Nguyen, Weijun Yu, Hsien-Wen Meng, Ming Wen, Feifei Li, Ken R Smith, Kim Brunisholz, Tolga Tasdizen
BACKGROUND: Neighbourhood quality has been connected with an array of health issues, but neighbourhood research has been limited by the lack of methods to characterise large geographical areas. This study uses innovative computer vision methods and a new big data source of street view images to automatically characterise neighbourhood built environments. METHODS: A total of 430 000 images were obtained using Google's Street View Image API for Salt Lake City, Chicago and Charleston...
January 15, 2018: Journal of Epidemiology and Community Health
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