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The overlapping burden of the three leading causes of disability and death in sub-Saharan African children

Nature Communications 2022年第1期13卷 1-14页

作者： Reiner, Robert C. Welgan, Catherine A. Troeger, Christopher E. Baumann, Mathew M. Weiss, Daniel J. Deshpande, Aniruddha Blacker, Brigette F. Miller-Petrie, Molly K. Earl, Lucas Bhatt, Samir Abolhassani, Hassan Abosetugn, Akine Eshete Abu-Gharbieh, Eman Adekanmbi, Victor Adetokunboh, Olatunji O. Aghaali, Mohammad Aji, Budi Alahdab, Fares Al-Aly, Ziyad Alhassan, Robert Kaba Ali, Saqib Alizade, Hesam Aljunid, Syed Mohamed Almasi-Hashiani, Amir Al-Mekhlafi, Hesham M. Altirkawi, Khalid A. Alvis-Guzman, Nelson Amare, Azmeraw T. Amini, Saeed Amugsi, Dickson A. Ancuceanu, Robert Andrei, Catalina Liliana Ansari, Fereshteh Anvari, Davood Appiah, Seth Christopher Yaw Arabloo, Jalal Aremu, Olatunde Atout, Maha Moh’d Wahbi Ausloos, Marcel Ausloos, Floriane Ayanore, Martin Amogre Aynalem, Yared Asmare Azene, Zelalem Nigussie Badawi, Alaa Baig, Atif Amin Banach, Maciej Bedi, Neeraj Bhagavathula, Akshaya Srikanth Bhandari, Dinesh Bhardwaj, Nikha Bhardwaj, Pankaj Bhattacharyya, Krittika Bhutta, Zulfiqar A. Bijani, Ali Birhanu, Tesega Tesega Mengistu Bitew, Zebenay Workneh Boloor, Archith Brady, Oliver J. Butt, Zahid A. Car, Josip Carvalho, Felix Casey, Daniel C. Chattu, Vijay Kumar Chowdhury, Mohiuddin Ahsanul Kabir Chu, Dinh-Toi Coelho, Camila H. Cook, Aubrey J. Damiani, Giovanni Daoud, Farah Gela, Jiregna Darega Darwish, Amira Hamed Daryani, Ahmad Das, Jai K. Davis Weaver, Nicole Deribe, Kebede Desalew, Assefa Dharmaratne, Samath Dhamminda Dianatinasab, Mostafa Diaz, Daniel Djalalinia, Shirin Dorostkar, Fariba Dubljanin, Eleonora Duko, Bereket Dwyer-Lindgren, Laura Effiong, Andem El Sayed Zaki, Maysaa El Tantawi, Maha Enany, Shymaa Fattahi, Nazir Feigin, Valery L. Fernandes, Eduarda Ferrara, Pietro Fischer, Florian Foigt, Nataliya A. Folayan, Morenike Oluwatoyin Foroutan, Masoud Frostad, Joseph Jon Fukumoto, Takeshi Gaidhane, Abhay Motiramji Gebrekrstos, Hailemikael Gebrekidan G. K. Gebremeskel, Leake Gebreslassie, Assefa Ayalew Gething, Peter W. Gezae, Kebede Embaye Ghadiri, Keyghobad Ghashghaee, Ahmad Golechha, Mahaveer Gubar Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Malaria Atlas Project University of Oxford Oxford United Kingdom Imperial College London London United Kingdom Department of Laboratory Medicine Karolinska University Hospital Huddinge Sweden Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Department of Public Health Debre Berhan University Debre Berhan Ethiopia Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Population Health Sciences King’s College London London United Kingdom Centre of Excellence for Epidemiological Modelling and Analysis Stellenbosch University Stellenbosch South Africa Department of Global Health Stellenbosch University Cape Town South Africa Department of Epidemiology and Biostatistics Qom University of Medical Sciences Qom Iran Faculty of Medicine and Public Health Jenderal Soedirman University Purwokerto Indonesia Mayo Evidence-based Practice Center Mayo Clinic Foundation for Medical Education and Research Rochester MN United States John T. Milliken Department of Internal Medicine Washington University in St. Louis St. Louis MO United States Clinical Epidemiology Center Department of Veterans Affairs St Louis MO United States Institute of Health Research University of Health and Allied Sciences Ho Ghana Department of Information Systems College of Economics and Political Science Sultan Qaboos University Muscat Oman Infectious and Tropical Disease Research Center Hormozgan University of Medical Sciences Bandar Abbas Iran Department of Health Policy and Management Kuwait University Safat Kuwait International Centre for Casemix and Clinical Coding National University of Malaysia Bandar Tun Razak Malaysia Department of Epidemiology Arak University of Medical Sciences Arak Iran Medical Research Center

Despite substantial declines since 2000, lower respiratory infections (LRIs), diarrhoeal diseases, and malaria remain among the leading causes of nonfatal and fatal disease burden for children under 5 years of age (under 5), primarily in sub-Saharan Africa (SSA). The spatial burden of each of these diseases has been estimated subnationally across SSA, yet no prior analyses have examined the pattern of their combined burden. Here we synthesise subnational estimates of the burden of LRIs, diarrhoea, and malaria in children under-5 from 2000 to 2017 for 43 sub-Saharan countries. Some units faced a relatively equal burden from each of the three diseases, while others had one or two dominant sources of unit-level burden, with no consistent pattern geographically across the entire subcontinent. Using a subnational counterfactual analysis, we show that nearly 300 million DALYs could have been averted since 2000 by raising all units to their national average. Our findings are directly relevant for decision-makers in determining which and targeting where the most appropriate interventions are for increasing child survival. © 2022, The Author(s).

关键词： Biogeography Epidemiology Infectious diseases Malaria

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Realistic modeling of optogenetic neuronal excitation in light-scattering brain tissue

Realistic modeling of optogenetic neuronal excitation in lig...

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Cancer Imaging and Therapy, CANCER 2016

作者： Yona, Guy Weissler, Yonatan Meitav, Nizan Guzi, Eliran Rifold, Dalia Kahn, Itamar Shoham, Shy Autonomous System Program Technion - Israel Institute of Technology Haifa32000 Israel Faculty of Biomedical Engineering Technion - Israel Institute of Technology Haifa32000 Israel Rappaport Faculty of Medicine and Institute Technion - Israel Institute of Technology Haifa32000 Israel

We introduce a realistic simulation of optogentic modulation, which includes an analytical model for the light distribution in brain tissue and a neuronal biophysical model, highlighting the importance of indirect exc... 详细信息

ISBN: (纸本)9781943580101

关键词： Light scattering

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Automated Detection of Plasmodium Falciparum from Giemsa-Stained Thin Blood Films

Automated Detection of Plasmodium Falciparum from Giemsa-Sta...

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International Conference on Knowledge and Smart Technology

作者： Wongsakorn Preedanan Montri Phothisonothai Wongwit Senavongse Suchada Tantisatirapong Biomedical Engineering Program Faculty of Engineering Srinakharinwirot University International College King Mongkut's Institute of Technology Ladkrabang

ISBN: (纸本)9781467381406

This paper investigates automated detection of malaria parasites in images of Giemsa-stained thin blood films. We aim to determine parasitemia based on automatic segmentation, feature extraction and classification methods. Segmentation relies on adaptive thresholding and watershed methods. Statistical features are then computed for each cell and classified using SVM binary classifier. Accuracy of classification is validated based on the leave-one-out cross-validation technique. This processing pipeline is applied on total 15 images of Giemsa-stained thin blood films and yields 92.71% sensitivity, 97.35% specificity and 97.17% accuracy.

关键词： Plasmodium falciparum Giemsa-stained thin blood film Segmentation Statistical features SVM

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Automated Segmentation of Erythrocytes from Giemsa-Stained Thin Blood Films

Automated Segmentation of Erythrocytes from Giemsa-Stained T...

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International Conference on Knowledge and Smart Technology

作者： Pargorn Puttapirat Montri Phothisonothai Suchada Tantisatirapong Biomedical Engineering Program Faculty of Engineering Srinakharinwirot University International College King Mongkut's Institute of Technology Ladkrabang

ISBN: (纸本)9781467381406

This paper investigates automated segmentation of malaria parasites in images of Giemsa-stained thin blood film specimens. The Giemsa staining exhibits not only on the malaria parasites, but also platelets and artifacts. We aim to extract erythrocytes both normal and infected cells from other particles and separate overlapping cells. Our approach is compared with manual cell counting and existing program named CELLCOUNTER. Our processing framework provides 97% accuracy, which yields predominant detection more accurate than the CELLCOUNTER. The results also indicate high correlation between our proposed method and the manual cell counting.

关键词： Erythrocytes segmentation Giemsa stained thin blood film Malaria parasites Decorrelation Multichannel Image Enhancement

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Simulation to assess user needs for the development of a bedside robot

Simulation to assess user needs for the development of a bed...

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International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Hyeongsuk Lee Jeongeun Kim Sukwha Kim Jisan Lee Ahjung Byun Hyeongju Ryu Hyoun-Joong Kong Seoul Women's College of Nursing Seoul Korea Interdisciplinary Program of Medical Informatics Seoul National University Seoul Korea Department of Reconstructive Plastic Surgery Seoul National University College of Medicine Seoul Korea College of Nursing Seoul National University Seoul Korea Department of Biomedical Engineering Chungnam National University College of Medicine Daejeon Korea

The purpose of the simulation performed in this study was to assess the requirements for a point-of-care (POC) bedside robot for patient education and emotional care; the simulation also facilitates defining the essential elements and functions of a robot before robot system development. The major functionalities evaluated in the simulation were: 1) bidirectional video system; 2) support system of doctor counseling; 3) voice recognition, and 4) ability to recognize non-verbal expressions. The evaluators reported the high feasibility and satisfactory performance of the POC bedside robot. While there are challenges, incorporating this technology into healthcare services will enhance the quality of inpatient hospital experiences and help healthcare providers in supporting patients.

关键词： Robots Speech recognition Hospitals Electronic mail Employee welfare Schedules

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Tumor Targeting: A Highly Efficient Tumor‐Targeting Nanoprobe with a Novel Cell Membrane Permeability Mechanism (Adv. Mater. 12/2019)

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Advanced Materials 2019年第12期31卷

作者： Zhendong Lei Lin Ding Chenjie Yao Fengfeng Mo Chenchen Li Yanan Huang Xuelian Yin Min Li Jinliang Liu Yong Zhang Changquan Ling Yanli Wang Institute of Nanochemistry and Nanobiology Shanghai University Shanghai 200444 P. R. China Department of Biomedical Engineering National University of Singapore Singapore 119077 Singapore Program in Molecular and Integrative Physiological Sciences Harvard T.H. Chan School of Public Health Harvard University Boston MA 02115 USA Ship Hygiene Department Faculty of Naval Medicine Second Military Medical University Shanghai 200433 P. R. China Department of Traditional Chinese Medicine Changhai Hospital The Second Military Medical University Shanghai 200433 P. R. China

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NextGen advises "Trying to Manage"

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Science (New York, N.Y.) 2019年第6461期366卷 28-30页

作者： Douglas Steinhauff Joel Henrique Ellwanger Monika Lewinska Edmond Sanganyado Yongsheng Ji Buddini Iroshika Karawdeniya Naike Bochatay Eric Britt Moore Aminata Coulibaly Shaima Ibrahim Déna Skye Jansen Joshua I James David M Cole Anna Lipkin Beth McKinnon Adamowicz Carl M Cohen Shervin Fatehi Maria Helena Holmstrom Rosa Li Department of Biomedical Engineering University of Utah Salt Lake City UT 84112 USA. dbsteinh@***. Department of Genetics Universidade Federal do Rio Grande do Sul Porto Alegre Rio Grande do Sul 91501-970 Brazil. joel.ellwanger@***. Biotech Research and Innovation Centre Faculty of Medicine University of Copenhagen Copenhagen 2200 Denmark. monika.lewinska@bric.ku.dk. Marine Biology Institute Shantou University Shantou Guangdong 515063 China. Department of Human Parasitology Anhui Medical University Hefei Anhui 230032 China. jiyongshengkey@***. Department of Mechanical Engineering Southern Methodist University Dallas TX 75206 USA. bkarawdeniya@smu.edu. Department of Pediatrics Division of Pediatric Critical Care University of California San Francisco San Francisco CA 94143 USA. Department of Agronomy Iowa State University Ames IA 50011 USA. ebm256@iastate.edu. Departments of Neurology and Neuroscience University of Virginia Charlottesville VA 22908 USA. Department of Chemistry The American University in Cairo Cairo 11321 Egypt. Rxshaima@***. Department of Environmental & Geographical Science University of Cape Town Cape Town Western Cape 7700 South Africa. djvirgo17@***. Legal Informatics and Forensic Science Institute Hallym University Chuncheon Gangwon 24252 South Korea. joshua.i.james@hallym.ac.kr. Interdisciplinary Program in Neuroscience Utah State University Logan UT 84322-7000 USA. dcole@***. Department of Neuroscience University of California San Francisco San Francisco CA 94158 USA. Department of Genetics Cell Biology and Development University of Minnesota Minneapolis MN 55455 USA. Science Management Associates Newton MA 02458 USA. Department of Chemistry The University of Texas Rio Grande Valley Edinburg TX 78539-2909 USA. shervin.fatehi@utrgv.edu. Department of Neuroscience Gothenburg University KlinKem Sahlgrenska Akademin GU Gothenburg 40530 Sweden. maria.holmstrom@gu.se. Duke Institute for Brain Sciences Duke Univ

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Publisher Correction: Human single chain-transbodies that bound to domain-I of non-structural protein 5A (NS5A) of hepatitis C virus

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Scientific reports 2018年第1期8卷 6787页

作者： Kittirat Glab-Ampai Monrat Chulanetra Aijaz Ahmad Malik Thanate Juntadech Jeeraphong Thanongsaksrikul Potjanee Srimanote Kanyarat Thueng-In Nitat Sookrung Pongsri Tongtawe Wanpen Chaicumpa Graduate Program in Immunology Department of Immunology Faculty of Medicine Siriraj Hospital Mahidol University Bangkok Thailand. Center of Research Excellence on Therapeutic Proteins and Antibody Engineering Department of Parasitology Faculty of Medicine Siriraj Hospital Mahidol University Bangkok Thailand. Graduate Program in Biomedical Science Faculty of Allied Health Sciences Thammasat University Rangsit Campus Pathum-thani province 12120 Thailand. School of Pathology Institute of Medicine Suranaree University of Technology Nakhon-ratchaseema province Thailand. Center of Research Excellence on Therapeutic Proteins and Antibody Engineering Department of Parasitology Faculty of Medicine Siriraj Hospital Mahidol University Bangkok Thailand. wanpen.cha@mahidol.ac.th. Graduate Program in Biomedical Science Faculty of Allied Health Sciences Thammasat University Rangsit Campus Pathum-thani province 12120 Thailand. wanpen.cha@mahidol.ac.th.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

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The Effects of Chemical Fixation on the Cellular Nanostructure: A Correlative Study of Back-Scattered Interference Spectrometry Microscopy and TEM

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Microscopy and Microanalysis 2016年第S3期22卷 234-235页

作者： Yue Li Luay Almassalha John Chandler Yolanda Cyrus Reiner Bleher Hariharan Subramanian Igal Szleifer Vadim Backman Vinayak Dravid Applied Physics Program Northwestern University Interdisciplinary Biological Sciences Graduate Program Northwestern University Biomedical Engineering Department Northwestern University Materials Sciences and Engineering Department Northwestern University Chemistry of Life Processes Institute Northwestern University

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Digital disease detection: Application of machine learning in community health informatics

Digital disease detection: Application of machine learning i...

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International Joint Conference on Computer Science and Software engineering (JCSSE)

作者： Ekkarat Boonchieng Khanita Duangchaemkarn Faculty of Science Chiang Mai University Center of Excellence in Community Health Informatics Thailand Faculty of Engineering Chiang Mai University Biomedical Engineering Program Thailand

ISBN: (纸本)9781509020348

Health informatics is a new research area which is interdisciplinary amongst information science, computer science and healthcare. The concept of health informatics is to develop a new way to manipulate healthcare data from various resources and devices by optimizing the method of data acquisition, data storage, data processing, and data visualization. Community health informatics can be described as the systematic application of information and computer science to obtain valuable data for solving health problems and providing it to health policy makers. The challenge of community health informatics is to maximize the efficiency and efficacy of big data analysis. This discussion paper aims to present the various applications of machine learning and software engineering approaches that implemented in digital disease detection.

关键词： Predictive models Forecasting Surveillance Informatics Support vector machines

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