keyword
MENU ▼
Read by QxMD icon Read
search

State of the art

keyword
https://www.readbyqxmd.com/read/28329307/eacvi-appropriateness-criteria-for-the-use-of-transthoracic-echocardiography-in-adults-a-report-of-literature-and-current-practice-review
#1
Richard P Steeds, Madalina Garbi, Nuno Cardim, Jaroslaw D Kasprzak, Elif Sade, Petros Nihoyannopoulos, Bogdan Alexandru Popescu, Alexandros Stefanidis, Bernard Cosyns, Mark Monaghan, Svend Aakhus, Thor Edvardsen, Frank Flachskampf, Leonarda Galiuto, George Athanassopoulos, Patrizio Lancellotti
The European Association for Cardiovascular Imaging (EACVI) has outlined the rationale for setting appropriate use criteria (AUC) in cardiovascular (CV) imaging. Transthoracic echocardiography (TTE) is the most common imaging modality in CV disease and is a central tool in diagnosis, follow-up, management planning and intervention. The purpose of AUC is to inform referrers, both to avoid under-use, which may result in incomplete or incorrect diagnosis and treatment, and also over-use, which may delay correct diagnosis, lead to 'treatment cascade', and wastes resources...
February 25, 2017: European Heart Journal Cardiovascular Imaging
https://www.readbyqxmd.com/read/28328519/a-framework-for-mixed-type-multi-outcome-prediction-with-applications-in-healthcare
#2
Budhaditya Saha, Sunil Gupta, Dinh Phung, Svetha Venkatesh
Health analysis often involves prediction of multiple outcomes of mixed-type. Existing work is restrictive to either a limited number or specific outcome types. We propose a framework for mixed-type multi-outcome prediction. Our proposed framework proposes a cumulative loss function composed of a specific loss function for each outcome type - as an example, least square (continuous outcome), hinge (binary outcome), poisson (count outcome) and exponential (non-negative outcome). To model these outcomes jointly, we impose a commonality across the prediction parameters through a common matrix-Normal prior...
March 16, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28328512/multitarget-sparse-latent-regression
#3
Xiantong Zhen, Mengyang Yu, Feng Zheng, Ilanit Ben Nachum, Mousumi Bhaduri, David Laidley, Shuo Li
Multitarget regression has recently generated intensive popularity due to its ability to simultaneously solve multiple regression tasks with improved performance, while great challenges stem from jointly exploring inter-target correlations and input-output relationships. In this paper, we propose multitarget sparse latent regression (MSLR) to simultaneously model intrinsic intertarget correlations and complex nonlinear input-output relationships in one single framework. By deploying a structure matrix, the MSLR accomplishes a latent variable model which is able to explicitly encode intertarget correlations via ℓ2,1-norm-based sparse learning; the MSLR naturally admits a representer theorem for kernel extension, which enables it to flexibly handle highly complex nonlinear input-output relationships; the MSLR can be solved efficiently by an alternating optimization algorithm with guaranteed convergence, which ensures efficient multitarget regression...
March 16, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28328502/spatial-statistics-for-segmenting-histological-structures-in-h-e-stained-tissue-images
#4
Luong Nguyen, A Burak Tosun, Jeffrey Fine, Adrian Lee, D Lansing Taylor, Chakra Chennubhotla
Segmenting a broad class of histological structures in transmitted light and/or fluorescence-based images is a prerequisite for determining the pathological basis of cancer, elucidating spatial interactions between histological structures in tumor microenvironments (e.g. tumor infiltrating lymphocytes), facilitating precision medicine studies with deep molecular profiling, and providing an exploratory tool for pathologists. Our paper focuses on segmenting histological structures in hematoxylin and eosin (H&E) stained images of breast tissues, e...
March 16, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28328498/a-framework-for-patient-state-tracking-by-classifying-multiscalar-physiologic-waveform-features
#5
Benjamin Vandendriessche, Mustafa Abas, Thomas Dick, Kenneth Loparo, Frank Jacono
OBJECTIVE: State-of-the-art algorithms that quantify nonlinear dynamics in physiologic waveforms are underutilized clinically due to their esoteric nature. We present a generalizable framework for classifying multiscalar waveform features, designed for patient-state tracking directly at the bedside. METHODS: An artificial neural network classifier was designed to evaluate multiscale waveform features against a fingerprint database of multifractal synthetic time series...
March 17, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28328293/history-of-knowledge-and-evolution-of-occupational-health-and-regulatory-aspects-of-asbestos-exposure-science-1900-1975
#6
Christy A Barlow, Jennifer Sahmel, Dennis J Paustenbach, John L Henshaw
The understanding by industrial hygienists of the hazards of asbestos and appropriate ways to characterize and control exposure has evolved over the years. Here, a detailed analysis of the evolution of industrial hygiene practices regarding asbestos and its health risks, from the early 1900s until the advent of the national occupational health and safety regulatory structure currently in place in the US (early-to-mid 1970s) is presented. While industrial hygienists recognized in the early 1900s that chronic and high-level exposures to airborne concentrations of asbestos could pose a serious health hazard, it was not until the mid-1950s that the carcinogenic nature of asbestos began to be characterized and widespread concern followed...
March 22, 2017: Critical Reviews in Toxicology
https://www.readbyqxmd.com/read/28328291/evaluation-of-multi-parameter-test-statistics-for-multiple-imputation
#7
Yu Liu, Craig K Enders
In Ordinary Least Square regression, researchers often are interested in knowing whether a set of parameters is different from zero. With complete data, this could be achieved using the gain in prediction test, hierarchical multiple regression, or an omnibus F test. However, in substantive research scenarios, missing data often exist. In the context of multiple imputation, one of the current state-of-art missing data strategies, there are several different analogous multi-parameter tests of the joint significance of a set of parameters, and these multi-parameter test statistics can be referenced to various distributions to make statistical inferences...
March 22, 2017: Multivariate Behavioral Research
https://www.readbyqxmd.com/read/28328252/liberal-entity-extraction-rapid-construction-of-fine-grained-entity-typing-systems
#8
Lifu Huang, Jonathan May, Xiaoman Pan, Heng Ji, Xiang Ren, Jiawei Han, Lin Zhao, James A Hendler
The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge in processing such data. Most existing entity typing systems are limited to certain domains, genres, and languages. In this article, we propose a novel unsupervised entity-typing framework by combining symbolic and distributional semantics. We start from learning three types of representations for each entity mention: general semantic representation, specific context representation, and knowledge representation based on knowledge bases...
March 2017: Big Data
https://www.readbyqxmd.com/read/28327500/a-review-of-sustainability-enhancements-in-the-beef-value-chain-state-of-the-art-and-recommendations-for-future-improvements
#9
Danielle Maia de Souza, Ruaraidh Petre, Fawn Jackson, Monica Hadarits, Sarah Pogue, Cameron N Carlyle, Edward Bork, Tim McAllister
The beef sector is working towards continually improving its sustainability in order to achieve environmentally, socially and economically desirable outcomes, all of which are of increasing concern to consumers. In this context, the Global Roundtable for Sustainable Beef (GRSB) provides guidance to advance the sustainability of the beef industry, through increased stakeholder engagement and the formation of national roundtables. Recently, the 2nd Global Conference on Sustainable Beef took place in Banff, Alberta, Canada, hosted by the GRSB and the Canadian Roundtable for Sustainable Beef...
March 22, 2017: Animals: An Open Access Journal From MDPI
https://www.readbyqxmd.com/read/28327478/effectiveness-of-symptom-screening-and-incidence-of-tuberculosis-among-adults-and-children-living-with-hiv-infection-in-india
#10
C Padmapriyadarsini, P K Bhavani, L Sekar, M Selvaraj, N Poornagangadevi, S N Mothi, K Nandagopal, S Vennila, G K Priyadarshini, Mahesh Manisha, G Sanjeeva, Upasna Agarwal, E Suresh, B B Rewari, Soumya Swaminathan
BACKGROUND: WHO recommends the use of a simplified symptom-based algorithm for screening for tuberculosis (TB) among people living with HIV (PLHIV). We assessed the feasibility and effectiveness of this algorithm and determined the prevalence and incidence of TB among PLHIV attending antiretroviral treatment (ART) centres in India. METHODS: We did a prospective multicentric implementation research study in four states of India. To rule out TB, we administered the WHO symptom-screen algorithm to all PLHIV every month for 6 months...
November 2016: National Medical Journal of India
https://www.readbyqxmd.com/read/28327210/new-atom-probe-tomography-reconstruction-algorithm-for-multilayered-samples-beyond-the-hemispherical-constraint
#11
Nicolas Rolland, François Vurpillot, Sébastien Duguay, Baishakhi Mazumder, James S Speck, Didier Blavette
Accuracy of atom probe tomography measurements is strongly degraded by the presence of phases that have different evaporation fields. In particular, when there are perpendicular interfaces to the tip axis in the specimen, layers thicknesses are systematically biased and the resolution is degraded near the interfaces. Based on an analytical model of field evaporated emitter end-form, a new algorithm dedicated to the 3D reconstruction of multilayered samples was developed. Simulations of field evaporation of bilayer were performed to evaluate the effectiveness of the new algorithm...
March 22, 2017: Microscopy and Microanalysis
https://www.readbyqxmd.com/read/28327144/computational-medical-imaging-and-hemodynamics-framework-for-functional-analysis-and-assessment-of-cardiovascular-structures
#12
REVIEW
Kelvin K L Wong, Defeng Wang, Jacky K L Ko, Jagannath Mazumdar, Thu-Thao Le, Dhanjoo Ghista
Cardiac dysfunction constitutes common cardiovascular health issues in the society, and has been an investigation topic of strong focus by researchers in the medical imaging community. Diagnostic modalities based on echocardiography, magnetic resonance imaging, chest radiography and computed tomography are common techniques that provide cardiovascular structural information to diagnose heart defects. However, functional information of cardiovascular flow, which can in fact be used to support the diagnosis of many cardiovascular diseases with a myriad of hemodynamics performance indicators, remains unexplored to its full potential...
March 21, 2017: Biomedical Engineering Online
https://www.readbyqxmd.com/read/28326952/latin-american-guidelines-for-cancer-pain-management
#13
Argelia Lara-Solares, Marisol Ahumada Olea, Amparito de Los Ángeles Basantes Pinos, Sara Bistre Cohén, Patricia Bonilla Sierra, Eva Rossina Duarte Juárez, Omar A Símon Escudero, Juan Guillermo Santacruz Escudero, José Alberto Flores Cantisani
Cancer is a major public health issue. Poor pain management has devastating consequences that seriously affect quality of life, diminish functionality and place a huge emotional burden on patients and their relatives. A group of Latin American opinion leaders were invited to participate in a meeting to discuss areas associated with cancer pain. The expert panel reviewed the latest literature to draft region-specific guidelines for effective pain management. The guidelines make recommendations on tailoring treatment to the specific type of pain and provide local physicians with the state-of-the art findings in the field...
March 13, 2017: Pain Management
https://www.readbyqxmd.com/read/28326100/immunohistochemical-markers-as-predictors-of-histopathologic-response-and-prognosis-in-rectal-cancer-treated-with-preoperative-adjuvant-therapy-state-of-the-art
#14
REVIEW
Alessandro Del Gobbo, Stefano Ferrero
We explain the state of the art of the immunohistochemical markers of response in rectal cancers treated with neoadjuvant medical therapies and its implication with prognosis. Neoadjuvant chemoradiotherapy is widely used to improve the outcome of patients with locally advanced rectal cancer, and the evaluation of the effects of medical therapy is to date based on histomorphological examination by applying four grading systems of response to therapy (tumor regression grade (TRG)). The need to identify immunohistochemical markers that could ensure a better assessment of response and possibly provide additional prognostic information has emerged...
2017: Gastroenterology Research and Practice
https://www.readbyqxmd.com/read/28326082/neonatal-group-b-streptococcal-disease-in-otherwise-healthy-infants-failure-of-specific-neonatal-immune-responses
#15
Alessandro Borghesi, Mauro Stronati, Jacques Fellay
Only a small proportion of newborn infants exposed to a pathogenic microorganism develop overt infection. Susceptibility to infection in preterm infants and infants with known comorbidities has a likely multifactorial origin and can be often attributed to the concurrence of iatrogenic factors, environmental determinants, underlying pathogenic processes, and probably genetic predisposition. Conversely, infection occurring in otherwise healthy full-term newborn infants is unexplained in most cases. Microbial virulence factors and the unique characteristics of the neonatal immune system only partially account for the interindividual variability in the neonatal immune responses to pathogens...
2017: Frontiers in Immunology
https://www.readbyqxmd.com/read/28325879/experimental-comparison-of-two-quantum-computing-architectures
#16
Norbert M Linke, Dmitri Maslov, Martin Roetteler, Shantanu Debnath, Caroline Figgatt, Kevin A Landsman, Kenneth Wright, Christopher Monroe
We run a selection of algorithms on two state-of-the-art 5-qubit quantum computers that are based on different technology platforms. One is a publicly accessible superconducting transmon device (www. RESEARCH: ibm.com/ibm-q) with limited connectivity, and the other is a fully connected trapped-ion system. Even though the two systems have different native quantum interactions, both can be programed in a way that is blind to the underlying hardware, thus allowing a comparison of identical quantum algorithms between different physical systems...
March 21, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28325620/hpv-16-variants-impact-on-uterine-cervical-cancer-response-to-radiotherapy-a-descriptive-pilot-study
#17
P Moreno-Acosta, A Vallard, M Molano, A Huertas, Ó Gamboa, M Cotes, A Romero-Rojas, C Rancoule, N Magné
PURPOSE: Although the large impact of Human papilloma virus (HPV) in cervical cancer is established, its place as a therapeutic target is new and according to the growing literature, could be promising. In the present study, radiosensitivity's difference based on HPV-16 variants is assessed. PATIENTS AND METHODS: Variants of Human papilloma virus were identified before the exclusive radiotherapy in patients with cervical cancer. Data were prospectively collected...
March 18, 2017: Cancer Radiothérapie: Journal de la Société Française de Radiothérapie Oncologique
https://www.readbyqxmd.com/read/28325242/radiation-oncology-in-india-challenges-and-opportunities
#18
REVIEW
Surbhi Grover, Shivakumar Gudi, Ajeet Kumar Gandhi, Priya M Puri, Adam C Olson, Danielle Rodin, Onyi Balogun, Preet K Dhillon, Daya Nand Sharma, Goura Kishor Rath, Shyam Kishore Shrivastava, Akila N Viswanathan, Umesh Mahantshetty
Rising cancer incidence and mortality in India emphasize the need to address the increasing burden of this disease and the stark inequities in access to radiotherapy and other essential medical treatments. State-of-the-art technology is available within the private sector and a few hospitals in the public sector, but 75% of patients in the public sector in India do not have access to timely radiotherapy. This inequity in access to radiotherapy in the public sector is amplified in rural areas, where most of India׳s population lives...
April 2017: Seminars in Radiation Oncology
https://www.readbyqxmd.com/read/28325018/imquant-an-image-based-fluorescence-reader-for-quantitative-lateral-flow-immunoassays
#19
Kaushik Basak Chowdhury, Jayaraj Joseph, Jayaraman Kiruthi Vasan, Mohanasankar Sivaprakasam
Fluorescence immunoassays (FIA) have strong potential in enabling rapid quantitative immunological testing at point of care. Existing state of the art instruments employ laser scanning of FIA test kits, which require the use of electromechanical systems, making the instrument bulky, heavy and less reliable in the long term. There is a growing need for an extremely compact and reliable, motion-free, automated reader for accurate quantification of immunoassays. Here, we present ImQuant, an image based FIA reader with integrated monochromatic excitation source, optical filtering and real time image capture, assisted with an intuitive graphical user interface...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324611/automated-analysis-of-intracellular-dynamic-processes
#20
Yao Yao, Ihor Smal, Ilya Grigoriev, Maud Martin, Anna Akhmanova, Erik Meijering
The study of intracellular dynamic processes is of fundamental importance for understanding a wide variety of diseases and developing effective drugs and therapies. Advanced fluorescence microscopy imaging systems nowadays allow the recording of virtually any type of process in space and time with super-resolved detail and with high sensitivity and specificity. The large volume and high information content of the resulting image data, and the desire to obtain objective, quantitative descriptions and biophysical models of the processes of interest, require a high level of automation in data analysis...
2017: Methods in Molecular Biology
keyword
keyword
59900
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"