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https://www.readbyqxmd.com/read/28441827/-colonization-rate-of-clostridium-difficile-in-healthy-children
#1
Y Wang, S Guo, C N Zhao, X W Xu
Objective: To learn the colonization of Clostridium difficile in local healthy children and to investigate the colonization rate and toxin types of Clostridium difficile at different ages. Method: From September 2014 to January 2015 in a case observational study, healthy children's fecal specimens from the health care department of Beijing Children's Hospital were collected. The children were divided into four groups according to age: <1 year old(n=53), 1-<3 years old(n=50), 3-<6 years old(n=50) and 6-<14 years old(n=50) respectively...
April 2, 2017: Zhonghua Er Ke za Zhi. Chinese Journal of Pediatrics
https://www.readbyqxmd.com/read/28441675/teaching-today-in-the-practice-setting-of-the-future-implementing-innovations-in-graduate-medical-education
#2
Jung G Kim, Carl G Morris, Paul Ford
PROBLEM: Implementing an innovation, such as offering new types of patient-physician encounters through the patient-centered medical home (PCMH) model while maintaining Accreditation Council for Graduate Medical Education (ACGME) accreditation standards (e.g., patient encounter minimums for trainees), is challenging. APPROACH: In 2009, the Group Health Family Medicine Residency (GHFMR) received an ACGME Program Experimentation and Innovation Project (PEIP) exception that redefined the minimum Family Medicine Resident Review Committee requirement to 1,400 face-to-face visits and 250 electronic visits (1 electronic visit defined as 3 secure message or telephone encounters)...
May 2017: Academic Medicine: Journal of the Association of American Medical Colleges
https://www.readbyqxmd.com/read/28441674/the-development-of-an-indigenous-health-curriculum-for-medical-students
#3
Melissa Lewis, Amy Prunuske
Indigenous populations experience dramatic health disparities; yet, few medical schools equip students with the skills to address these inequities. At the University of Minnesota Medical School, Duluth campus, a project to develop an Indigenous health curriculum began in September 2013. This project used collaborative and decolonizing methods to gather ideas and opinions from multiple stakeholders, including students, community members, faculty, and administration, to guide the process of adding Indigenous health content to the curriculum to prepare students to work effectively with Indigenous populations...
May 2017: Academic Medicine: Journal of the Association of American Medical Colleges
https://www.readbyqxmd.com/read/28441656/development-of-a-smartphone-app-for-visualizing-heart-sounds-and-murmurs
#4
Noritaka Mamorita, Naoya Arisaka, Risa Isonaka, Tadashi Kawakami, Akihiro Takeuchi
BACKGROUND: Auscultation is one of the basic techniques for the diagnosis of heart disease. However, the interpretation of heart sounds and murmurs is a highly subjective and difficult skill. OBJECTIVES: To assist the auscultation skill at the bedside, a handy phonocardiogram was developed using a smartphone (Samsung Galaxy J, Android OS 4.4.2) and an external microphone attached to a stethoscope. METHODS AND RESULTS: The Android app used Java classes, "AudioRecord," "AudioTrack," and "View," that recorded sounds, replayed sounds, and plotted sound waves, respectively...
April 26, 2017: Cardiology
https://www.readbyqxmd.com/read/28441481/best-practices-of-computer-aided-drug-discovery-cadd-lessons-learned-from-the-development-of-a-preclinical-candidate-for-prostate-cancer-with-a-new-mechanism-of-action
#5
Fuqiang Ban, Kush Dalal, Huifang Li, Eric LeBlanc, Paul S Rennie, Artem Cherkasov
Small-molecule drug design is a complex and iterative decision-making process relying on pre-existing knowledge and driven by experimental data. Low molecular weight chemicals represent an attractive therapeutic option as they are readily accessible to organic synthesis and can easily be characterized.1 Their potency, as well as pharmacokinetic and pharmacodynamic properties can be systematically and rationally investigated, and ultimately optimized via expert science behind medicinal chemistry and methods of computer-aided drug design (CADD)...
April 25, 2017: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/28441231/patient-specific-classification-of-icu-sedation-levels-from-heart-rate-variability
#6
Sunil B Nagaraj, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M McClain, Ednan K Bajwa, Sadeq A Quraishi, Akeju Oluwaseun, Riccardo Barbieri, Patrick L Purdon, M Brandon Westover
OBJECTIVE: To develop a personalizable algorithm to discriminate between sedation levels in ICU patients based on heart rate variability. DESIGN: Multicenter, pilot study. SETTING: Several ICUs at Massachusetts General Hospital, Boston, MA. PATIENTS: We gathered 21,912 hours of routine electrocardiogram recordings from a heterogenous group of 70 adult ICU patients. All patients included in the study were mechanically ventilated and were receiving sedatives...
April 22, 2017: Critical Care Medicine
https://www.readbyqxmd.com/read/28440999/-epistemic-injustice-during-the-medical-education-process-in-the-hospital-context
#7
Carolina Consejo-Y Chapela, Carlos Alfonso Viesca-Treviño
BACKGROUND: The educational model adopted by the Universidad Nacional Autónoma de México (UNAM) Faculty of Medicine is constructivist; it is a model based on competence development. It aims to provide learning environments that incorporate real activities (it helps the students to develop social negotiation skills, as part of their integral learning; it encourages them to take a critical and reflexive approach; and it is also a student-centered model). However, many challenges arise when this model is implemented in the context of hospital environments...
May 2017: Revista Médica del Instituto Mexicano del Seguro Social
https://www.readbyqxmd.com/read/28440912/performance-of-in-silico-tools-for-the-evaluation-of-p16ink4a-cdkn2a-variants-in-cagi
#8
Marco Carraro, Giovanni Minervini, Manuel Giollo, Yana Bromberg, Emidio Capriotti, Rita Casadio, Roland Dunbrack, Lisa Elefanti, Pietro Fariselli, Carlo Ferrari, Julian Gough, Panagiotis Katsonis, Emanuela Leonardi, Olivier Lichtarge, Chiara Menin, Pier Luigi Martelli, Abhishek Niroula, Lipika R Pal, Susanna Repo, Maria Chiara Scaini, Mauno Vihinen, Qiong Wei, Qifang Xu, Yuedong Yang, Yizhou Yin, Jan Zaucha, Huiying Zhao, Yaoqi Zhou, Steven E Brenner, John Moult, Silvio C E Tosatto
Correct phenotypic interpretation of variants of unknown significance for cancer-associated genes is a diagnostic challenge as genetic screenings gain in popularity in the next-generation sequencing era. The Critical Assessment of Genome Interpretation (CAGI) experiment aims to test and define the state of the art of genotype-phenotype interpretation. Here, we present the assessment of the CAGI p16INK4a challenge. Participants were asked to predict the effect on cellular proliferation of ten variants for the p16INK4a tumor suppressor, a cyclin-dependent kinase inhibitor encoded by the CDKN2A gene...
April 25, 2017: Human Mutation
https://www.readbyqxmd.com/read/28440892/the-effect-of-adult-early-warning-systems-education-on-nurses-knowledge-confidence-and-clinical-performance-a-systematic-review
#9
REVIEW
Mohamad M Saab, Bridie McCarthy, Tom Andrews, Eileen Savage, Frances J Drummond, Nuala Walshe, Mary Forde, Dorothy Breen, Patrick Henn, Jonathan Drennan, Josephine Hegarty
AIMS: This review aims to determine the effect of adult Early Warning Systems education on nurses' knowledge, confidence and clinical performance. BACKGROUND: Early Warning Systems support timely identification of clinical deterioration and prevention of avoidable deaths. Several educational programmes have been designed to help nurses recognise and manage deteriorating patients. Little is known as to the effectiveness of these programmes. DESIGN: SYSTEMATIC REVIEW: DATA SOURCES: Academic Search Complete, CINAHL, MEDLINE, PsycINFO, PsycARTICLES, Psychology and Behavioral Science Collection, SocINDEX and the UK & Ireland Reference Centre, EMBASE, the Turning Research Into Practice database, the Cochrane Central Register of Controlled Trials (CENTRAL) and Grey Literature sources were searched between October - November 2015...
April 25, 2017: Journal of Advanced Nursing
https://www.readbyqxmd.com/read/28440719/a-case-based-medical-curriculum-for-the-21st-century-the-use-of-innovative-approaches-in-designing-and-developing-a-case-on-mental-health
#10
Athanasios Hassoulas, Elizabeth Forty, Mathew Hoskins, James Walters, Stephen Riley
The introduction of case-based learning (CBL) by the School of Medicine at Cardiff University has encouraged innovation in medical teaching and learning. During years one and two of the modernized MBBCh program, students complete 17 cases as part of the newly developed C21 curriculum that emphasizes a patient-oriented and student-centered approach to learning. The mental health case, which is presented in year 2, incorporates a number of novel teaching resources that aim to enhance the students' learning experience and to further reinforce the patient-oriented and community-based philosophy of C21...
May 2017: Medical Teacher
https://www.readbyqxmd.com/read/28439832/computational-and-experimental-identification-of-tissue-specific-microrna-targets
#11
Raheleh Amirkhah, Hojjat Naderi Meshkin, Ali Farazmand, John E J Rasko, Ulf Schmitz
In this chapter we discuss computational methods for the prediction of microRNA (miRNA) targets. More specifically, we consider machine learning-based approaches and explain why these methods have been relatively unsuccessful in reducing the number of false positive predictions. Further we suggest approaches designed to improve their performance by considering tissue-specific target regulation. We argue that the miRNA targetome differs depending on the tissue type and introduce a novel algorithm that predicts miRNA targets specifically for colorectal cancer...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28439523/tsallis-entropy-and-sparse-reconstructive-dictionary-learning-for-exudate-detection-in-diabetic-retinopathy
#12
Vineeta Das, Niladri B Puhan
Computer-assisted automated exudate detection is crucial for large-scale screening of diabetic retinopathy (DR). The motivation of this work is robust and accurate detection of low contrast and isolated hard exudates using fundus imaging. Gabor filtering is first performed to enhance exudate visibility followed by Tsallis entropy thresholding. The obtained candidate exudate pixel map is useful for further removal of falsely detected candidates using sparse-based dictionary learning and classification. Two reconstructive dictionaries are learnt using the intensity, gradient, local energy, and transform domain features extracted from exudate and background patches of the training fundus images...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28439455/the-evolution-of-logic-circuits-for-the-purpose-of-protein-contact-map-prediction
#13
Samuel D Chapman, Christoph Adami, Claus O Wilke, Dukka B Kc
Predicting protein structure from sequence remains a major open problem in protein biochemistry. One component of predicting complete structures is the prediction of inter-residue contact patterns (contact maps). Here, we discuss protein contact map prediction by machine learning. We describe a novel method for contact map prediction that uses the evolution of logic circuits. These logic circuits operate on feature data and output whether or not two amino acids in a protein are in contact or not. We show that such a method is feasible, and in addition that evolution allows the logic circuits to be trained on the dataset in an unbiased manner so that it can be used in both contact map prediction and the selection of relevant features in a dataset...
2017: PeerJ
https://www.readbyqxmd.com/read/28439325/graph-frequency-analysis-of-brain-signals
#14
Weiyu Huang, Leah Goldsberry, Nicholas F Wymbs, Scott T Grafton, Danielle S Bassett, Alejandro Ribeiro
This paper presents methods to analyze functional brain networks and signals from graph spectral perspectives. The notion of frequency and filters traditionally defined for signals supported on regular domains such as discrete time and image grids has been recently generalized to irregular graph domains, and defines brain graph frequencies associated with different levels of spatial smoothness across the brain regions. Brain network frequency also enables the decomposition of brain signals into pieces corresponding to smooth or rapid variations...
October 2016: IEEE Journal of Selected Topics in Signal Processing
https://www.readbyqxmd.com/read/28439010/cyclops-reveals-human-transcriptional-rhythms-in-health-and-disease
#15
Ron C Anafi, Lauren J Francey, John B Hogenesch, Junhyong Kim
Circadian rhythms modulate many aspects of physiology. Knowledge of the molecular basis of these rhythms has exploded in the last 20 years. However, most of these data are from model organisms, and translation to clinical practice has been limited. Here, we present an approach to identify molecular rhythms in humans from thousands of unordered expression measurements. Our algorithm, cyclic ordering by periodic structure (CYCLOPS), uses evolutionary conservation and machine learning to identify elliptical structure in high-dimensional data...
April 24, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28438906/novel-screening-tool-for-stroke-using-artificial-neural-network
#16
Vida Abedi, Nitin Goyal, Georgios Tsivgoulis, Niyousha Hosseinichimeh, Raquel Hontecillas, Josep Bassaganya-Riera, Lucas Elijovich, Jeffrey E Metter, Anne W Alexandrov, David S Liebeskind, Andrei V Alexandrov, Ramin Zand
BACKGROUND AND PURPOSE: The timely diagnosis of stroke at the initial examination is extremely important given the disease morbidity and narrow time window for intervention. The goal of this study was to develop a supervised learning method to recognize acute cerebral ischemia (ACI) and differentiate that from stroke mimics in an emergency setting. METHODS: Consecutive patients presenting to the emergency department with stroke-like symptoms, within 4.5 hours of symptoms onset, in 2 tertiary care stroke centers were randomized for inclusion in the model...
April 24, 2017: Stroke; a Journal of Cerebral Circulation
https://www.readbyqxmd.com/read/28438725/analyzing-and-predicting-user-participations-in-online-health-communities-a-social-support-perspective
#17
Xi Wang, Kang Zhao, Nick Street
BACKGROUND: Online health communities (OHCs) have become a major source of social support for people with health problems. Members of OHCs interact online with similar peers to seek, receive, and provide different types of social support, such as informational support, emotional support, and companionship. As active participations in an OHC are beneficial to both the OHC and its users, it is important to understand factors related to users' participations and predict user churn for user retention efforts...
April 24, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28438706/towards-generalizable-entity-centric-clinical-coreference-resolution
#18
Timothy Miller, Dmitriy Dligach, Steven Bethard, Chen Lin, Guergana Savova
OBJECTIVE: This work investigates the problem of clinical coreference resolution in a model that explicitly tracks entities, and aims to measure the performance of that model in both traditional in-domain train/test splits and cross-domain experiments that measure the generalizability of learned models. METHODS: The two methods we compare are a baseline mention-pair coreference system that operates over pairs of mentions with best-first conflict resolution and a mention-synchronous system that incrementally builds coreference chains...
April 21, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28438578/global-cerebral-ischemia-in-rats-leads-to-amnesiadue-to-selective-neuronal-death-followed-by-astroglial-scar-formationin-the-ca1-layer
#19
Kevin Sadelli, Jean-Claude Stamegna, Stéphane D Girard, Nathalie Baril, Guy Escoffier, Maïna Brus, Antoine D Véron, Michel Khrestchatisky, François S Roman
Global Cerebral Ischemia (GCI) occurs following cardiac arrest or neonatal asphyxia and leads to harmful neurological consequences. In most cases, patients who survive cardiac arrest develop severe cognitive and motor impairments. This study focused on learning and memory deficits associated with brain neuroanatomical reorganization that appears after GCI. The four-vessel occlusion (4VO) model was performed to produce a transient GCI. Hippocampal lesions in ischemic rats were visualized using anatomical Magnetic Resonance Imaging (aMRI)...
April 21, 2017: Neurobiology of Learning and Memory
https://www.readbyqxmd.com/read/28438215/predicting-liver-sbrt-eligibility-and-plan-quality-for-vmat-and-4%C3%AF-plans
#20
Angelia Tran, Kaley Woods, Dan Nguyen, Victoria Y Yu, Tianye Niu, Minsong Cao, Percy Lee, Ke Sheng
BACKGROUND: It is useful to predict planned dosimetry and determine the eligibility of a liver cancer patient for SBRT treatment using knowledge based planning (KBP). We compare the predictive accuracy using the overlap volume histogram (OVH) and statistical voxel dose learning (SVDL) KBP prediction models for coplanar VMAT to non-coplanar 4π radiotherapy plans. METHODS: In this study, 21 liver SBRT cases were selected, which were initially treated using coplanar VMAT plans...
April 24, 2017: Radiation Oncology
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