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https://www.readbyqxmd.com/read/28916782/predicting-clinical-outcomes-from-large-scale-cancer-genomic-profiles-with-deep-survival-models
#1
Safoora Yousefi, Fatemeh Amrollahi, Mohamed Amgad, Chengliang Dong, Joshua E Lewis, Congzheng Song, David A Gutman, Sameer H Halani, Jose Enrique Velazquez Vega, Daniel J Brat, Lee A D Cooper
Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fundamental challenge in genomic medicine. Many prediction methods face limitations in learning from the high-dimensional profiles generated by these platforms, and rely on experts to hand-select a small number of features for training prediction models. In this paper, we demonstrate how deep learning and Bayesian optimization methods that have been remarkably successful in general high-dimensional prediction tasks can be adapted to the problem of predicting cancer outcomes...
September 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28891436/radio-localization-of-non-palpable-breast-lesions-under-ultrasonographic-guidance-current-status-and-future-perspectives
#2
Giulia Anna Follacchio, Francesco Monteleone, Maria Letizia Meggiorini, Maria Paola Nusiner, Carlo De Felice, Giuseppe De Vincentis, Mauro Liberatore
BACKGROUND: Due to the spread of mammographic screening programs, a constant increase of clinically-occult breast cancer diagnosis has been registered. A correct approach to non-palpable breast lesions requires an accurate intra-operative localization in order to achieve a complete surgical resection. Aim of this paper is to describe the state of the art of the US-guided procedures such as Radio-guided Occult Lesion Localization (ROLL) and Radio-guided Seed Localization (RSL) in comparison to the most widely adopted Wire-Guided Localization (WGL)...
September 8, 2017: Current Radiopharmaceuticals
https://www.readbyqxmd.com/read/28887829/using-public-data-for-comparative-proteome-analysis-in-precision-medicine-programs
#3
Christopher S Hughes, Gregg B Morin
Maximizing the clinical utility of information obtained in longitudinal precision medicine programs would benefit from robust comparative analyses to known information to assess biological features of patient material, in the hopes of identifying the underlying features that drive their disease phenotype. In this study we investigate the potential for utilizing publically deposited mass spectrometry-based proteomics data to perform inter-study comparisons of cell line or tumour tissue materials. Using in-depth quantitative proteomics data acquired from analysis of ovarian cancer cell lines, we demonstrate the robust recapitulation of observable gene expression dynamics between individual studies carried out using significantly different methodologies...
September 9, 2017: Proteomics. Clinical Applications
https://www.readbyqxmd.com/read/28867989/exhaled-breath-analysis-a-review-of-breath-taking-methods-for-off-line-analysis
#4
REVIEW
Oluwasola Lawal, Waqar M Ahmed, Tamara M E Nijsen, Royston Goodacre, Stephen J Fowler
BACKGROUND: The potential of exhaled breath sampling and analysis has long attracted interest in the areas of medical diagnosis and disease monitoring. This interest is attributed to its non-invasive nature, access to an unlimited sample supply (i.e., breath), and the potential to facilitate a rapid at patient diagnosis. However, progress from laboratory setting to routine clinical practice has been slow. Different methodologies of breath sampling, and the consequent difficulty in comparing and combining data, are considered to be a major contributor to this...
2017: Metabolomics: Official Journal of the Metabolomic Society
https://www.readbyqxmd.com/read/28862431/the-medicinal-chemistry-of-natural-and-semisynthetic-compounds-against-parkinson-s-and-huntington-s-diseases
#5
Enrico Zanforlin, Giuseppe Zagotto, Giovanni Ribaudo
Among the diseases affecting the central nervous system (CNS), neurodegenerations attract the interest of both the clinician and the medicinal chemist. The increasing average age of population, the growing number of patients, and the lack of long-term effective remedies push ahead the quest for novel tools against this class of pathologies. We present a review on the state of the art of the molecules (or combination of molecules) of natural origin that are currently under study against two well-defined pathologies: Parkinson's disease (PD) and Huntington's disease (HD)...
September 15, 2017: ACS Chemical Neuroscience
https://www.readbyqxmd.com/read/28844032/state-of-the-art-coronary-artery-stents-past-present-and-future
#6
Giulio G Stefanini, Robert A Byrne, Stephan Windecker, Adnan Kastrati
The first percutaneous coronary intervention (PCI) was performed in September 1977 by Andreas Grüntzig using a rudimentary balloon angioplasty catheter mounted on a fixed wire. PCI was immediately recognised as a potential breakthrough in cardiovascular medicine, but uptake in clinical practice was limited by unpredictable acute outcomes and a need for surgical standby. The introduction of bare metal stents (BMS) in the 1980s improved procedure reproducibility and clinical outcomes through a permanent scaffolding of the coronary vessel, preventing abrupt occlusion and acute recoil...
August 25, 2017: EuroIntervention
https://www.readbyqxmd.com/read/28835943/dna-tetrahedron-nanostructures-for-biological-applications-biosensors-and-drug-delivery
#7
REVIEW
Nuli Xie, Shiyuan Liu, Xiaohai Yang, Xiaoxiao He, Jin Huang, Kemin Wang
With the rapid development of DNA nanotechnology, various DNA nanostructures with different shapes and sizes have been self-assembled using "bottom-up" fabrication strategies and applied to a wide range of fields such as biosensors, drug delivery and tools for molecular biology. As a classical and simple polyhedron, DNA tetrahedron can be easily synthesised by a one-step assembly. Due to the excellent biocompatibility and cellular permeability, it provides a universal and promising platform to construct a series of biosensors and drug delivery systems for living cells studies...
August 24, 2017: Analyst
https://www.readbyqxmd.com/read/28830483/results-of-a-pilot-study-in-the-u-s-and-vietnam-to-assess-the-utility-and-acceptability-of-a-multi-level-pregnancy-test-mlpt-for-home-monitoring-of-hcg-trends-after-assisted-reproduction
#8
Tara Shochet, Ioanna A Comstock, Nguyen Thi Nhu Ngoc, Lynn M Westphal, Wendy R Sheldon, Ly Thai Loc, Jennifer Blum, Beverly Winikoff, Paul D Blumenthal
BACKGROUND: To evaluate the utility and acceptability of using multi-level pregnancy tests (MLPTs) at home to monitor hCG trends following assisted reproductive technology (ART). METHODS: One hundred and four women presenting for ART at either Stanford Medicine Fertility and Reproductive Health Clinic (Stanford, CA) or Hung Vuong Hospital (Ho Chi Minh City, Vietnam) participated in this pilot study. Women were asked to perform the MLPT at home, primarily on days when they were also scheduled to receive standard clinic-based serum hCG testing...
August 22, 2017: BMC Women's Health
https://www.readbyqxmd.com/read/28827381/promotion-of-healthy-weight-control-practices-in-young-athletes
#9
Rebecca L Carl, Miriam D Johnson, Thomas J Martin
Children and adolescents may participate in sports that favor a particular body type. Some sports, such as gymnastics, dance, and distance running, emphasize a slim or lean physique for aesthetic or performance reasons. Participants in weight-class sports, such as wrestling and martial arts, may attempt weight loss so they can compete at a lower weight class. Other sports, such as football and bodybuilding, highlight a muscular physique; young athletes engaged in these sports may desire to gain weight and muscle mass...
August 21, 2017: Pediatrics
https://www.readbyqxmd.com/read/28768489/improved-anticancer-drug-response-prediction-in-cell-lines-using-matrix-factorization-with-similarity-regularization
#10
Lin Wang, Xiaozhong Li, Louxin Zhang, Qiang Gao
BACKGROUND: Human cancer cell lines are used in research to study the biology of cancer and to test cancer treatments. Recently there are already some large panels of several hundred human cancer cell lines which are characterized with genomic and pharmacological data. The ability to predict drug responses using these pharmacogenomics data can facilitate the development of precision cancer medicines. Although several methods have been developed to address the drug response prediction, there are many challenges in obtaining accurate prediction...
August 2, 2017: BMC Cancer
https://www.readbyqxmd.com/read/28756159/automatic-identification-of-high-impact-articles-in-pubmed-to-support-clinical-decision-making
#11
Jiantao Bian, Mohammad Amin Morid, Siddhartha Jonnalagadda, Gang Luo, Guilherme Del Fiol
OBJECTIVES: The practice of evidence-based medicine involves integrating the latest best available evidence into patient care decisions. Yet, critical barriers exist for clinicians' retrieval of evidence that is relevant for a particular patient from primary sources such as randomized controlled trials and meta-analyses. To help address those barriers, we investigated machine learning algorithms that find clinical studies with high clinical impact from PubMed®. METHODS: Our machine learning algorithms use a variety of features including bibliometric features (e...
September 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28733975/deep-convolutional-neural-network-and-3d-deformable-approach-for-tissue-segmentation-in-musculoskeletal-magnetic-resonance-imaging
#12
Fang Liu, Zhaoye Zhou, Hyungseok Jang, Alexey Samsonov, Gengyan Zhao, Richard Kijowski
PURPOSE: To describe and evaluate a new fully automated musculoskeletal tissue segmentation method using deep convolutional neural network (CNN) and three-dimensional (3D) simplex deformable modeling to improve the accuracy and efficiency of cartilage and bone segmentation within the knee joint. METHODS: A fully automated segmentation pipeline was built by combining a semantic segmentation CNN and 3D simplex deformable modeling. A CNN technique called SegNet was applied as the core of the segmentation method to perform high resolution pixel-wise multi-class tissue classification...
July 21, 2017: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/28722180/a-generic-tg-186-shielded-applicator-for-commissioning-model-based-dose-calculation-algorithms-for-high-dose-rate-192-ir-brachytherapy
#13
Yunzhi Ma, Javier Vijande, Facundo Ballester, Åsa Carlsson Tedgren, Domingo Granero, Annette Haworth, Firas Mourtada, Gabriel Paiva Fonseca, Kyveli Zourari, Panagiotis Papagiannis, Mark J Rivard, Frank André Siebert, Ron S Sloboda, Ryan Smith, Marc J P Chamberland, Rowan M Thomson, Frank Verhaegen, Luc Beaulieu
PURPOSE: A joint working group was created by the American Association of Physicists in Medicine (AAPM), the European Society for Radiotherapy and Oncology (ESTRO), and the Australasian Brachytherapy Group (ABG) with the charge, among others, to develop a set of well-defined test case plans and perform model-based dose calculation algorithms (MBDCA) dose calculations and comparisons. Its main goal is to facilitate a smooth transition from the AAPM Task Group No. 43 (TG-43) dose calculation formalism, widely being used in clinical practice for brachytherapy, to the one proposed by Task Group No...
July 19, 2017: Medical Physics
https://www.readbyqxmd.com/read/28715343/deep-belief-networks-for-electroencephalography-a-review-of-recent-contributions-and-future-outlooks
#14
Faezeh Movahedi, James L Coyle, Ervin Sejdic
Deep learning, a relatively new branch of machine learning, has been investigated for use in a variety of biomedical applications. Deep learning algorithms have been used to analyze different physiological signals and gain a better understanding of human physiology for automated diagnosis of abnormal conditions. In this manuscript, we provide an overview of deep learning approaches with a focus on deep belief networks in electroencephalography applications. We investigate the state of- the-art algorithms for deep belief networks and then cover the application of these algorithms and their performances in electroencephalographic applications...
July 14, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28692606/occupational-health-and-the-performing-arts-an-introduction
#15
David Hinkamp, Jennie Morton, Donna H Krasnow, Mary Virginia Wilmerding, William J Dawson, Michael G Stewart, Herbert Steven Sims, Jan Potter Reed, Katherine Duvall, Michael McCann
OBJECTIVE: Workplace hazards in the performing arts cause injuries, disabilities, and deaths every year. Occupational health professionals are familiar with most of these hazards and are particularly qualified to contribute to efforts to reduce them. This article reviews current health issues in the performing arts and highlights opportunities for occupational health contributions. METHODS: Recognized experts in performing arts medicine were consulted and articles illustrating performing arts health issues were reviewed...
July 7, 2017: Journal of Occupational and Environmental Medicine
https://www.readbyqxmd.com/read/28691437/hiv-misdiagnosis-in-sub-saharan-africa-performance-of-diagnostic-algorithms-at-six-testing-sites
#16
REVIEW
Cara S Kosack, Leslie Shanks, Greet Beelaert, Tumwesigye Benson, Aboubacar Savane, Anne Ng'ang'a, Bita Andre, Jean-Paul Bn Zahinda, Katrien Fransen, Anne-Laure Page
INTRODUCTION: We evaluated the diagnostic accuracy of HIV testing algorithms at six programmes in five sub-Saharan African countries. METHODS: In this prospective multisite diagnostic evaluation study (Conakry, Guinea; Kitgum, Uganda; Arua, Uganda; Homa Bay, Kenya; Doula, Cameroun and Baraka, Democratic Republic of Congo), samples from clients (greater than equal to five years of age) testing for HIV were collected and compared to a state-of-the-art algorithm from the AIDS reference laboratory at the Institute of Tropical Medicine, Belgium...
July 3, 2017: Journal of the International AIDS Society
https://www.readbyqxmd.com/read/28679938/managing-information-more-effectively-in-health-informatics-applications
#17
Rodolfo A Fiorini
Conceptual clarity and predicative/impredicative competence are the fundamental components for managing information more effectively in Health Informatics, Healthcare and Medicine applications, while promoting innovation and creativity. Medicine was always the art and science of healing. The science became more and more a mechanistic technology in Healthcare; the art was dropped altogether. But uncertainty-as-problem in the past is slowly morphing into the evolutive concept of uncertainty-as-resource. The key change performance factor is education, distinguishing building on sand from building on rock for Health Informatics! Conceptual clarity, more than instrumental obsession (so typical of this particular time) is necessary...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28679933/health-informatics-and-wellbeing-by-enhanced-knowledge-formalisation
#18
Rodolfo A Fiorini
Only once we agree upon our understanding of what words really mean can we debate whether a concept, represented by those words, is or not well represented significantly in specific application. In a previous paper we presented an innovative point of view on deeper wellbeing understanding towards its increased, effective Health Informatics and clinical usage and applications. Medicine was always the art and science of healing. The science became more and more a mechanistic technology; the art was dropped altogether...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28678064/who-makes-it-to-the-end-a-novel-predictive-model-for-identifying-surgical-residents-at-risk-for-attrition
#19
Heather L Yeo, Jonathan S Abelson, Jialin Mao, Frank Lewis, Fabrizio Michelassi, Richard Bell, Art Sedrakyan, Julie A Sosa
OBJECTIVE: We present 8-year follow-up data from the intern class of 2007 to 2008 using a novel, nonparametric predictive model to identify those residents who are at greatest risk of not completing their training. BACKGROUND: Nearly 1 in every 4 categorical general surgery residents does not complete training. There has been no study at a national level to identify individual resident and programmatic factors that can be used to accurately anticipate which residents are most at risk of attrition out...
September 2017: Annals of Surgery
https://www.readbyqxmd.com/read/28666440/do-medical-students-and-young-physicians-assess-reliably-their-self-efficacy-regarding-communication-skills-a-prospective-study-from-end-of-medical-school-until-end-of-internship
#20
Tore Gude, Arnstein Finset, Tor Anvik, Anders Bærheim, Ole Bernt Fasmer, Hilde Grimstad, Per Vaglum
BACKGROUND: This prospective study from end of medical school through internship investigates the course and possible change of self- reported self-efficacy in communication skills compared with observers' ratings of such skills in consultations with simulated patients. METHODS: Sixty-two medical students (43 females) from four Norwegian universities performed a videotaped consultation with a simulated patient immediately before medical school graduation (T1) and after internship (internal medicine, surgery and family medicine, half a year each - T2)...
June 30, 2017: BMC Medical Education
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