Готові списки джерел за темами / Heterogeneous disease

Добірка наукової літератури з теми "Heterogeneous disease"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Heterogeneous disease"

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Bhardwaj, Diwakar, and Anjani Rai. "Heterogeneous Clustering Network Chronic Kidney Disease Progression Mining (HCNCKPM)." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11-SPECIAL ISSUE (November 29, 2019): 215–22. http://dx.doi.org/10.5373/jardcs/v11sp11/20192950.

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Wojnarowska, F., J. Allen, and P. Collier. "Linear IgA Disease: A Heterogeneous Disease." Dermatology 189, no. 1 (1994): 52–56. http://dx.doi.org/10.1159/000246930.

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Kossaï, Myriam, Alexandra Leary, Jean-Yves Scoazec, and Catherine Genestie. "Ovarian Cancer: A Heterogeneous Disease." Pathobiology 85, no. 1-2 (October 12, 2017): 41–49. http://dx.doi.org/10.1159/000479006.

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Martínez-García, Miguel Angel, Casilda Olveira, Luis Máiz, Rosa M. ª. Girón, Concepción Prados, David de la Rosa, Marina Blanco, and Alvar Agustí. "Bronchiectasis: A Complex, Heterogeneous Disease." Archivos de Bronconeumología (English Edition) 55, no. 8 (August 2019): 427–33. http://dx.doi.org/10.1016/j.arbr.2019.06.004.

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Katial, Rohit K. "Severe Asthma: A Heterogeneous Disease." Immunology and Allergy Clinics of North America 36, no. 3 (August 2016): xv—xvi. http://dx.doi.org/10.1016/j.iac.2016.05.001.

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Gao, Jianliang, Ling Tian, Jianxin Wang, Yibo Chen, Bo Song, and Xiaohua Hu. "Similar Disease Prediction With Heterogeneous Disease Information Networks." IEEE Transactions on NanoBioscience 19, no. 3 (July 2020): 571–78. http://dx.doi.org/10.1109/tnb.2020.2994983.

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S. Abdul-Kareem, Abdul-ghafoor. "Isolated renal hydatid disease (heterogeneous presentations )." Annals of the College of Medicine, Mosul 34, no. 1 (June 28, 2008): 21–27. http://dx.doi.org/10.33899/mmed.2008.8944.

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Scharff, Robert L., and Amber Jessup. "Evaluating Chronic Disease for Heterogeneous Populations." Medical Care 45, no. 9 (September 2007): 860–68. http://dx.doi.org/10.1097/mlr.0b013e3180618bac.

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Neri, I., A. Virdi, R. Balestri, and A. Patrizi. "Diffuse cutaneous mastocytosis: a heterogeneous disease." Archives of Disease in Childhood 98, no. 8 (April 20, 2013): 607. http://dx.doi.org/10.1136/archdischild-2013-303839.

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Dores, Graça M., Rayna K. Matsuno, Dennis D. Weisenburger, Philip S. Rosenberg, and William F. Anderson. "Hairy cell leukaemia: a heterogeneous disease?" British Journal of Haematology 142, no. 1 (July 2008): 45–51. http://dx.doi.org/10.1111/j.1365-2141.2008.07156.x.

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Дисертації з теми "Heterogeneous disease"

1

Lamouroux, David. "Cyclic Dynamics of Spatially Heterogeneous Populations - From Biodiversity to Disease Prevalence." Doctoral thesis, Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2012. http://hdl.handle.net/11858/00-1735-0000-000D-F289-9.

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Handel, Adam E. "Functional genomics approaches to understanding heterogeneous tissues in health and disease." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:a8ceeb0d-8526-45ef-9ade-6da3b5cc5f99.

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Functional genomics approaches offer an unparalleled window into cellular biology. It is particularly challenging to apply these methods to heterogeneous tissues, in which multiple cell types or transcriptomic identities co-exist. I applied single cell and bulk functional genomics approaches in an attempt to understand aspects of the biology underlying cerebral cortex and thymic epithelial cells. These are both extremely heterogeneous tissues but the nature of the heterogeneity differs: in cortex there are a large number of different cell types, whereas in thymic epithelial cells, despite a limited number of cell types, individual cells express virtually every gene in the transcriptome. In Chapter 1, I provide a general overview of the currently available functional genomics tools and briefly review relevant aspects of cortical and thymic biology. The first three results chapters examine functional genomics approaches to cerebral cortex. Chapter 2 details the application of single cell functional genomics techniques to examine the extent to which stem cell-derived cortical neurons resemble primary human cortical neurons. In Chapter 3, I use RNA sequencing in cortical neurons derived from wild-type or PSEN1 mutant stem cells in an attempt to identify an Alzheimer's disease-relevant gene signature and to assess how much variability there is between batches of stem cell differentiation. Chapter 4 applies DNase-seq footprinting to primary brain tissue in order to understand how common variants associated with altered gene expression or susceptibility to neurological disease might exert their effects. The last two results chapters focus on thymic epithelial cells. In Chapter 5, I integrate multiple functional genomics datasets to identify a set of genes targeted by Foxn1, a criticial transcription factor in thymus development and function. Chapter 6 use single cell RNA-seq from mature medullary thymic epithelial cells to gain an insight into how promiscuous gene expression in the thymus is orchestrated at the level of individual cells. Finally, in Chapter 7, I summarise the implications of my findings for cortical and thymic biology and speculate on the potential directions that functional genomics may take in the future to better understand heterogeneous tissues.
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3

Yang, Sen. "Disease, Drug, and Target Association Predictions by Integrating Multiple Heterogeneous Sources." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1342194249.

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Brown, Grant Donald. "Application Of Heterogeneous Computing Techniques To Compartmental Spatiotemporal Epidemic Models." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1554.

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The application of spatial methods to epidemic estimation and prediction problems is a vibrant and active area of research. In many cases, however, well thought out and laboratory supported models for epidemic patterns may be easy to specify but extremely difficult to fit efficiently. While this problem exists in many scientific disciplines, epidemic modeling is particularly prone to this challenge due to the rate at which the problem scope grows as a function of the size of the spatial and temporal domains involved. An additional barrier to widespread use of spatiotemporal epidemic models is the lack of user friendly software packages capable of fitting them. In particular, compartmental epidemic models are easy to understand, but in most cases difficult to fit. This class of epidemic models describes a set of states, or compartments, which captures the disease progression in a population. This dissertation attempts to expand the problem scope to which spatio-temporal compartmental epidemic models are applicable both computationally and practically. In particular, a general family of spatially heterogeneous SEIRS models is developed alongside a software library with the dual goals of high computational performance and ease of use in fitting models in this class. We emphasize the task of model specification, and develop a framework describing the components of epidemic behavior. In addition, we establish methods to estimate and interpret reproductive numbers, which are of fundamental importance to the study of infectious disease. Finally, we demonstrate the application of these techniques both under simulation, and in the context of a diverse set of real diseases, including Ebola Virus Disease, Smallpox, Methicillin-resistant Staphylococcus aureus, and Influenza.
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Nagoski, Emily. "An agent based model of disease diffusion in the context of heterogeneous sexual motivation." [Bloomington, Ind.] : Indiana University, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3223076.

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Анотація:
Thesis (Ph.D.)--Indiana University, School of Health, Physical Education, and Recreation, 2006.
"Title from dissertation home page (viewed July 2, 2007)." Source: Dissertation Abstracts International, Volume: 67-06, Section: B, page: 3087. Advisers: David Lohrmann; Erick Janssen.
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6

Kamath, Tarun(Tarun Vinod). "Tau aggregation is heterogeneous across cases of sporadic Alzheimer's disease and is influenced by autophagy pathways in vitro." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127885.

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Анотація:
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Biological Engineering, May, 2020
Cataloged from PDF version of thesis.
Includes bibliographical references (pages. 85-97).
Tau neurofibrillary tangles or aggregates are a common neuropathological feature found in a number of neurodegenerative conditions, including Alzheimer's disease. Understanding the kinetics of this aggregate build up, how it varies across patients, and how aggregation might be influenced by intracellular pathways is critical for both a deeper knowledge of these disorders as well as identification of potential therapeutic targets. To this end, I employed an in vitro tau aggregation assay to study the kinetics of tau aggregation as it relates to aggregates in sporadic Alzheimer's disease. I found that the formation of aggregates was a logistic process, with a lag phase, an exponential rise phase, and a plateau phase. Aggregation kinetics varied significantly between different cases of sporadic Alzheimer's disease, paralleling the heterogeneity that is observed in the clinical presentation of Alzheimer's disease. Likewise, I found that inhibition of intracellular pathways of macroautophagy and endosomal microautopahgy heterogeneously increased tau aggregation and changed tau aggregation kinetics, dependent upon the case of Alzheimer's disease. These results inform that tau aggregates vary significantly not just between disorders, but even within disorders, and that protein degradation pathways uniquely process aggregates, perhaps potentiated by further molecular differences in aggregate structure or composition.
by Tarun Kamath.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Biological Engineering
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Bravo-Salgado, Angel D. "Modeling and Simulation of the Vector-Borne Dengue Disease and the Effects of Regional Variation of Temperature in the Disease Prevalence in Homogenous and Heterogeneous Human Populations." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc862802/.

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The history of mitigation programs to contain vector-borne diseases is a story of successes and failures. Due to the complex interplay among multiple factors that determine disease dynamics, the general principles for timely and specific intervention for incidence reduction or eradication of life-threatening diseases has yet to be determined. This research discusses computational methods developed to assist in the understanding of complex relationships affecting vector-borne disease dynamics. A computational framework to assist public health practitioners with exploring the dynamics of vector-borne diseases, such as malaria and dengue in homogenous and heterogeneous populations, has been conceived, designed, and implemented. The framework integrates a stochastic computational model of interactions to simulate horizontal disease transmission. The intent of the computational modeling has been the integration of stochasticity during simulation of the disease progression while reducing the number of necessary interactions to simulate a disease outbreak. While there are improvements in the computational time reducing the number of interactions needed for simulating disease dynamics, the realization of interactions can remain computationally expensive. Using multi-threading technology to improve performance upon the original computational model, multi-threading experimental results have been tested and reported. In addition, to the contact model, the modeling of biological processes specific to the corresponding pathogen-carrier vector to increase the specificity of the vector-borne disease has been integrated. Last, automation for requesting, retrieving, parsing, and storing specific weather data and geospatial information from federal agencies to study the differences between homogenous and heterogeneous populations has been implemented.
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8

Nichols, Carol Anne. "The Influence of Heterogeneous Landscapes on Banded Mongoose (Mungos mungo) Behavior in Northern Botswana: Inferences about Infectious Disease Transmission." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/95936.

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Infectious disease transmission is driven by a complex suite of drivers with behavior and landscape dynamics contributing to epidemics across host-pathogen systems. However, our understanding of the interaction between landscape, behavior, and infectious disease remains limited. In the banded mongoose (Mungos mungo), a novel tuberculosis pathogen, Mycobacterium mungi, has emerged in Northern Botswana that is transmitted through olfactory communication behaviors. Using this host-pathogen system, this thesis explores the influence of various land use areas along the human-wildlife interface on animal behavior, and ultimately, pathogen transmission potential. Using behavior data from remote sensing camera traps, a generalized linear mixed model identified vigilance behavior, land use, and their interaction as important factors in predicting olfactory behavior. Cluster and Classification and Regression Tree (CART) analysis of active den sites (n= 308, across 23 troops) identified the important characteristics of dens across land use areas. In human-modified environments, man-made den sites persisted longer than did natural dens which became unsuitable through environmental processes (e.g., collapse). We also document the occurrence of nighttime activity for this species, perceived to be strictly diurnal. These data provide information critical to the development of robust computational models and underscore the importance of both landscape and behavior in accurately predicting and managing infectious disease outbreaks.
M. S.
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Zhu, Cheng. "Efficient network based approaches for pattern recognition and knowledge discovery from large and heterogeneous datasets." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378215769.

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Lamouroux, David Verfasser], Theo [Akademischer Betreuer] [Geisel, and Reiner [Akademischer Betreuer] Kree. "Cyclic Dynamics of Spatially Heterogeneous Populations - From Biodiversity to Disease Prevalence / David Lamouroux. Gutachter: Theo Geisel ; Reiner Kree. Betreuer: Theo Geisel." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2013. http://d-nb.info/1044361166/34.

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Книги з теми "Heterogeneous disease"

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Kahán, Zsuzsanna, ed. Breast Cancer, a Heterogeneous Disease Entity. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0489-3.

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service), SpringerLink (Online, ed. Breast Cancer, a Heterogeneous Disease Entity: The Very Early Stages. Dordrecht: Springer Science+Business Media B.V., 2011.

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A, Moses Stephen, ed. AIDS in South Asia: Understanding and responding to a heterogeneous epidemic. Washington, DC: World Bank, 2006.

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N, Zsuzsanna Kah. Breast Cancer, a Heterogeneous Disease Entity. Springer, 2011.

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5

Tot, Tibor, and Zsuzsanna Kahán. Breast Cancer, a Heterogeneous Disease Entity: The Very Early Stages. Springer, 2014.

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6

Felberg, Mary A. Mitochondrial Disease and Anesthesia. Edited by Erin S. Williams, Olutoyin A. Olutoye, Catherine P. Seipel, and Titilopemi A. O. Aina. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190678333.003.0042.

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Mitochondrial disease is a genetically, biochemically, and clinically heterogeneous group of disorders that arise from defects in cellular oxidative phosphorylation, most commonly within the electron transport chain. All mitochondrial diseases involve disruption in energy production; clinical symptoms usually manifest in tissues with high energy demands although all organs may be affected. The extent of disease depends not only on the mitochondrial defect but on the numbers of dysfunctional mitochondria present in each tissue. Despite in vitro evidence that almost every anesthetic agent studied has been shown to decrease mitochondrial function, all anesthetic agents have been used safely. Discussion of the implications of mitochondrial disease for anesthetic management includes preoperative preparation, volatile and intravenous anesthetic agents, avoidance of succinylcholine, risk of malignant hyperthermia, perioperative fluids, and postoperative management.
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Yu, Shirley P., and David J. Hunter. Prospects for disease modification. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199668847.003.0035.

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The tremendous individual and societal burden underpin a strong rationale for the development of disease-modifying agents for osteoarthritis. Current approaches to managing the disease remain largely palliative and focused on alleviating symptoms, specifically pain and functional limitation. The chapter considers the multitude of tissues that potentially can be targeted in this heterogeneous disease of osteoarthritis and the agents that can modify these tissues. It first focuses on molecules targeting inflammatory pathways and then breaks that down by particular tissue targeted: specifically and in particular synovium, cartilage, and bone. There is widespread demonstration of the ability to modify osteoarthritis in preclinical models; however, this has not been translated to the human disease to the satisfaction of regulatory bodies at this point in time. There are a number of products currently in testing that demonstrate great promise although there remain considerable challenges to the demonstration of disease modification.
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Bergmann, Carsten, and Klaus Zerres. Autosomal recessive polycystic kidney disease. Edited by Neil Turner. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0313.

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Autosomal recessive polycystic kidney disease (ARPKD) is an important cause of childhood renal- and liver-related morbidity and mortality with variable disease expression. Many patients manifest peri- or neonatally with a mortality rate of 30–50%, whereas others survive to adulthood with only minor clinical features. ARPKD is typically caused by mutations in the PKHD1 gene that encodes a 4074-amino acid type 1 single-pass transmembrane protein called fibrocystin or polyductin. Fibrocystin/polyductin is among other cystoproteins expressed in primary cilia, basal bodies, and centrosomes, but its exact function has still not been fully unravelled. Mutations were found to be scattered throughout the gene with many of them being private to single families. Correlations have been drawn for the type of mutation rather than for the site of the individual mutation. Virtually all patients carrying two truncating mutations display a severe phenotype with peri- or neonatal demise while surviving patients bear at least one hypomorphic missense mutation. However, about 20–30% of all sibships exhibit major intrafamilial phenotypic variability and it becomes increasingly obvious that ARPKD is clinically and genetically much more heterogeneous and complex than previously thought.
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Price, Susan. Genetic bone and joint disease. Edited by Patrick Davey and David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0276.

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Genetic conditions affecting the skeleton and supporting structures are individually rare and heterogeneous. This chapter presents an approach to assessing patients with suspected skeletal dysplasia, osteogenesis imperfecta, Marfan syndrome, and Ehlers–Danlos syndrome. Skeletal dysplasias are caused by abnormalities of bone growth and modelling; the commonest non-lethal type is achondroplasia, with an incidence of 1/10 000 to 1/30 000. The typical presentation of osteogenesis imperfecta is with multiple fractures, sometimes prenatally. There may be associated short stature, bone deformity, dentogenesis imperfecta, blue sclera, and hearing loss. Most patients with osteogenesis imperfecta have mutations in COL1A1 or COL1A2. Marfan syndrome is a connective tissue disease with a pattern of symptoms related to the presence of fibrillin in tissues. Typically, affected individuals are of tall, thin stature, with long fingers and toes (arachnodactyly), a pectus deformity, and scoliosis. Between 66% and 91% of individuals with Marfan syndrome have a mutation in fibrillin-1 (FBN1; locus: 15q21). All forms of Ehlers–Danlos syndrome present with variable thinning and fragility of skin, leading to easy bruising and poor scar formation. There is skin and joint laxity. In severe forms, blood vessels and internal organs are affected.
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Betteridge, D. John, ed. Epidemiology of cardiovascular disease: the scale of the problem. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199543502.003.0001.

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• The epidemic of cardiovascular disease (CVD) has been and still is very dynamic and heterogeneous when comparing time trends and mortality rates in different places of the world.• Age-standardized CVD mortality rates have declined in some countries, mainly due to a better management of the essential risk factors.• Unfavourable trends in CVD incidence are found and foreseen in developing countries due to demographic and to adverse lifestyle changes.• Comprehensive CVD prevention strategies are needed to promote primary prevention and better implementation of effective preventive actions in patients with established CVD.
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Частини книг з теми "Heterogeneous disease"

1

Grafman, J. "Heterogeneous Disappearance of Knowledge in Alzheimer’s Disease." In Heterogeneity of Alzheimer’s Disease, 24–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-46776-9_4.

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Getz, Wayne, James Lloyd-Smith, Paul Cross, Shirli Bar-David, Philip Johnson, Travis Porco, and María Sánchez. "Modeling the invasion and spread of contagious diseases in heterogeneous populations." In Disease Evolution, 113–44. Providence, Rhode Island: American Mathematical Society, 2006. http://dx.doi.org/10.1090/dimacs/071/06.

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Tot, Tibor, and Zsuzsanna Kahán. "A New Approach to Early Breast Cancer." In Breast Cancer, a Heterogeneous Disease Entity, 1–22. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0489-3_1.

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Kahán, Zsuzsanna, Katalin Hideghéty, and Zoltán Varga. "The Risks of Breast Radiotherapy and How to Avoid Them." In Breast Cancer, a Heterogeneous Disease Entity, 241–68. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0489-3_10.

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Pusztai, Lajos, and Catherine M. Kelly. "Systemic Adjuvant Therapy for Stage I Breast Cancer." In Breast Cancer, a Heterogeneous Disease Entity, 269–81. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0489-3_11.

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Kahán, Zsuzsanna. "Systemic Therapy: Selection of Patients." In Breast Cancer, a Heterogeneous Disease Entity, 283–304. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0489-3_12.

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Skaane, Per. "Screening of Breast Cancer." In Breast Cancer, a Heterogeneous Disease Entity, 23–44. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0489-3_2.

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Forrai, Gábor. "Magnetic Resonance Imaging (MRI) in the Screening of High-Risk Patients and in the Detection and Diagnosis of Early Breast Cancer." In Breast Cancer, a Heterogeneous Disease Entity, 45–55. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0489-3_3.

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Tot, Tibor. "Large-Format Histology, a Prerequisite for Adequate Assessment of Early Breast Carcinomas." In Breast Cancer, a Heterogeneous Disease Entity, 57–88. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0489-3_4.

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Wilkerson, Paul M., Konstantin J. Dedes, Maria A. Lopez-Garcia, Felipe C. Geyer, and Jorge S. Reis-Filho. "The Molecular Evolution of Breast Cancer Precursors and Risk Indicators." In Breast Cancer, a Heterogeneous Disease Entity, 89–117. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0489-3_5.

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Тези доповідей конференцій з теми "Heterogeneous disease"

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Tian, Ling, Jianliang Gao, Jianxin Wang, Ying Wang, Bo Song, and Xiaohua Hu. "Measuring Disease Similarity Based on Multiple Heterogeneous Disease Information Networks." In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019. http://dx.doi.org/10.1109/bibm47256.2019.8983141.

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Ye, Jieping, Gene Alexander, Eric Reiman, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, et al. "Heterogeneous data fusion for alzheimer's disease study." In the 14th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1401890.1402012.

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Nguyen, Khang, Jerome Wei Yang Lim, Kuo Ping Lee, Terry Lin, Jing Tian, Trang T. T. Do, Matthew Chin Heng Chua, and Binh P. Nguyen. "Heart Disease Classification using Novel Heterogeneous Ensemble." In 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2021. http://dx.doi.org/10.1109/bhi50953.2021.9508516.

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4

Liu, Rongjie, Chao Huang, Tengfei Li, Liuqing Yang, and Hongtu Zhu. "Statistical disease mapping for heterogeneous neuroimaging studies." In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). IEEE, 2018. http://dx.doi.org/10.1109/isbi.2018.8363837.

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5

Xiong, Yun, Lu Ruan, Mengjie Guo, Chunlei Tang, Xiangnan Kong, Yangyong Zhu, and Wei Wang. "Predicting Disease-related Associations by Heterogeneous Network Embedding." In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2018. http://dx.doi.org/10.1109/bibm.2018.8621538.

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HUANG, GRACE T., KATHRYN I. CUNNINGHAM, PANAYIOTIS V. BENOS, and CHAKRA S. CHENNUBHOTLA. "SPECTRAL CLUSTERING STRATEGIES FOR HETEROGENEOUS DISEASE EXPRESSION DATA." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2012. http://dx.doi.org/10.1142/9789814447973_0021.

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7

Sanida, Theodora, Dimitris Tsiktsiris, Argyrios Sideris, and Minas Dasygenis. "A Heterogeneous Lightweight Network for Plant Disease Classification." In 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE, 2021. http://dx.doi.org/10.1109/mocast52088.2021.9493415.

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Zerhouni, Erwan, Bogdan Prisacari, Qing Zhong, Peter Wild, and Maria Gabrani. "Disease grading of heterogeneous tissue using convolutional autoencoder." In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). IEEE, 2017. http://dx.doi.org/10.1109/isbi.2017.7950591.

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Qu, Zhe, Lizhen Cui, and Yonghui Xu. "Disease Risk Prediction via Heterogeneous Graph Attention Networks." In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2022. http://dx.doi.org/10.1109/bibm55620.2022.9995491.

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Ding, Feng, Xiangjie Kong, Zhehuan Zhao, Feng Xia, Anfu Liu, Chenxu Bai, Bo Xu, et al. "Disease Gene Prediction Based on Heterogeneous Probabilistic Hypergraph Ranking." In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019. http://dx.doi.org/10.1109/bibm47256.2019.8982999.

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Звіти організацій з теми "Heterogeneous disease"

1

Wang, Wanqing, Fei Huang, and Chunchao Han. Efficacy of Regimens in the Treatment of Latent Autoimmune Diabetes in Adults: A Network Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2022. http://dx.doi.org/10.37766/inplasy2022.10.0072.

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Анотація:
Review question / Objective: Efficacy of Regimens in the Treatment of Latent Autoimmune Diabetes in Adults: A Network Meta-Analysis. Condition being studied: Latent autoimmune diabetes mellitus (LADA) in adults is a highly heterogeneous autoimmune disease with clinical and genetic characteristics between Type 1 Diabetes（T1DM） and Type 2 Diabetes（T2DM）, and therefore there are no uniform criteria for the selection of therapeutic agents. We conducted a web-based meta analysis to evaluate the efficacy of various therapeutic agents for LADA by comparing their effects on various indicators reflecting LADA disease.
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2

Hayakawa, Kazunobu, Hyun-Hoon Lee, and Cyn-Young Park. The Effect of COVID-19 on Foreign Direct Investment. Asian Development Bank, March 2022. http://dx.doi.org/10.22617/wps220092-2.

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This study empirically examines how the coronavirus disease (COVID-19) has impacted foreign direct investment (FDI). The authors find heterogeneous effects of COVID-19 on FDI by sector and entry mode. The severity of COVID-19 in host countries negatively affected both greenfield FDI and cross-border mergers and acquisitions in the manufacturing sector. But the situation of home countries did not seem to matter. Greenfield FDI in the service sector was affected by the situation in both host and home countries.
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3

Zhang, Cheng, and Yue Yang. Impact of adaptive design on reducing the duration of clinical trials in rare cancers: a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2022. http://dx.doi.org/10.37766/inplasy2022.2.0081.

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Review question / Objective: Whether the application of adaptive design in clinical trials of rare cancers can shorten the duration of clinical trials? Condition being studied: Currently, the development of innovative drug products (InMPs) for rare cancers faces many challenges, including the difficulty of enrolling sufficient numbers of patients from small and heterogeneous patient populations for clinical trials, and the significant risks of high financial investment, long development times and potential failure from a pharmaceutical company's perspective for rare cancer drugs due to limited knowledge of the natural history of the disease. Therefore, alternative approaches to clinical trial design are needed to conduct cost-effective, well-controlled analyses that can assess treatment effects in small, heterogeneous populations within shorter time frames. Adaptive trials, on the other hand, may be an effective solution to this problem. Adaptive clinical trials are designed to accelerate the clinical trial process by making predefined adjustments to key parameters through data accumulated at predefined time points during the trial without compromising the integrity and validity of the results.This study aims to examine the value of adaptive design in reducing the duration of clinical trials in rare cancers and encourage their wider implementation.
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4

Zhao, Fangfang, Chunli Lu, Luying Chen, Yaxin Guo, Lijie Lu, Yuerong Jiang, Jianping Liu, and Keji Chen. Red yeast rice preparations for dyslipidemia: A protocol for an overview of systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2022. http://dx.doi.org/10.37766/inplasy2022.3.0032.

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Анотація:
Review question / Objective: What is the quality of systematic reviews/meta-analysis of red yeast rice (RYR) preparations for dyslipidemia? What is the comparative benefit of red yeast rice preparations on dyslipidemia compared to other lipid-lowering drugs? Based on the current controversies in dyslipidemia guidelines and clinical practice, to explore the relative benefits of red yeast rice compared with other lipid-lowering drugs, we plan to perform an overview of existing SRs/MAs. Condition being studied: Red yeast rice (RYR) has been used as an alternative to statin therapy in treating patients with dyslipidemia, particularly in those considered to be statin intolerant due to statin-associated myalgia (SAM), and clinical studies suggest that RYR is well-tolerated, safe, and effective for cardiovascular disease (CVD) primary prevention. Several studies support the beneficial effect of RYR on blood lipid profiles. Dyslipidemia is a worldwide public health challenge because of its high prevalence, leading to significant economic and social burdens. Many systematic reviews (SRs) /meta-analysis (MAs) have been performed to prove the effects of RYR on dyslipidemia during the past several years. High-quality SRs/MAs can provide clinicians, patients, and other decision-makers with a reliable scientific basis. However, existing SRs/MAs showed varied and heterogeneous results.
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5

Shpigel, Nahum Y., Ynte Schukken, and Ilan Rosenshine. Identification of genes involved in virulence of Escherichia coli mastitis by signature tagged mutagenesis. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7699853.bard.

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Mastitis, an inflammatory response of the mammary tissue to invading pathogenic bacteria, is the largest health problem in the dairy industry and is responsible for multibillion dollar economic losses. E. coli are a leading cause of acute mastitis in dairy animals worldwide and certainly in Israel and North America. The species E. coli comprises a highly heterogeneous group of pathogens, some of which are commensal residents of the gut, infecting the mammary gland after contamination of the teat skin from the environment. As compared to other gut microflora, mammary pathogenic E. coli (MPEC) may have undergone evolutionary adaptations that improve their fitness for colonization of the unique and varied environmental niches found within the mammary gland. These niches include competing microbes already present or accompanying the new colonizer, soluble and cellular antimicrobials in milk, and the innate immune response elicited by mammary cells and recruited immune cells. However, to date, no specific virulence factors have been identified in E. coli isolates associated with mastitis. The original overall research objective of this application was to develop a genome-wide, transposon-tagged mutant collection of MPEC strain P4 and to use this technology to identify E. coli genes that are specifically involved in mammary virulence and pathogenicity. In the course of the project we decided to take an alternative genome-wide approach and to use whole genomes bioinformatics analysis. Using genome sequencing and analysis of six MPEC strains, our studies have shown that type VI secretion system (T6SS) gene clusters were present in all these strains. Furthermore, using unbiased screening of MPEC strains for reduced colonization, fitness and virulence in the murine mastitis model, we have identified in MPEC P4-NR a new pathogenicity island (PAI-1) encoding the core components of T6SS and its hallmark effectors Hcp, VgrG and Rhs. Next, we have shown that specific deletions of T6SS genes reduced colonization, fitness and virulence in lactating mouse mammary glands. Our long-term goal is to understand the molecular mechanisms of host-pathogen interactions in the mammary gland and to relate these mechanisms to disease processes and pathogenesis. We have been able to achieve our research objectives to identify E. coli genes that are specifically involved in mammary virulence and pathogenicity. The project elucidated a new basic concept in host pathogen interaction of MPEC, which for the best of our knowledge was never described or investigated before. This research will help us to shed new light on principles behind the infection strategy of MPEC. The new targets now enable prevalence and epidemiology studies of T6SS in field strains of MPEC which might unveil new geographic, management and ecological risk factors. These will contribute to development of new approaches to treat and prevent mastitis by MPEC and perhaps other mammary pathogens. The use of antibiotics in farm animals and specifically to treat mastitis is gradually precluded and thus new treatment and prevention strategies are needed. Effective mastitis vaccines are currently not available, structural components and effectors of T6SS might be new targets for the development of novel vaccines and therapeutics.
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