Relevant bibliographies by topics / Joint disease models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Joint disease models'

Author: Grafiati
Published: 11 December 2022
Last updated: 31 July 2025

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Journal articles on the topic "Joint disease models"

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Chaudhary, Archana, and Pandit Vinay. "Rheumatoid Arthritis: Etiology, Treatment and Animal Models." Journal of Drug Delivery and Therapeutics 10, no. 5-s (2020): 290–98. http://dx.doi.org/10.22270/jddt.v10i5-s.4357.

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Rheumatoid arthritis is an autoimmune disease that can cause joint pain and damage throughout your body. About 75% of Rheumatoid arthritis patients are women. In fact, 1 – 3% of women may get rheumatoid arthritis in their lifetime. The disease most often begins between the ages of 30 and 50. Rheumatoid arthritis occurs when your immune system attacks the synovium, the lining of the membranes that surround your joints. The resulting inflammation thickens the synovium, which can eventually destroy the cartilage and bone within the joint. The tendons and ligaments that hold the joint together wea
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Huang, Jie, Lingqiang Zhang, Aiping Lu, and Chao Liang. "Organoids as Innovative Models for Bone and Joint Diseases." Cells 12, no. 12 (2023): 1590. http://dx.doi.org/10.3390/cells12121590.

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Bone is one of the key components of the musculoskeletal system. Bone and joint disease are the fourth most widespread disease, in addition to cardiovascular disease, cancer, and diabetes, which seriously affect people’s quality of life. Bone organoids seem to be a great model by which to promote the research method, which further could improve the treatment of bone and joint disease in the future. Here, we introduce the various bone and joint diseases and their biology, and the conditions of organoid culture, comparing the in vitro models among 2D, 3D, and organoids. We summarize the differin
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Goess, Christian, Richard McCarthy, Lian Rundell, et al. "Kinetics of knee synovial lavage inflammation in rodent models of collagen induced arthritis. (171.15)." Journal of Immunology 188, no. 1_Supplement (2012): 171.15. http://dx.doi.org/10.4049/jimmunol.188.supp.171.15.

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Abstract Rheumatoid arthritis (RA) is an autoimmune disease characterized by inflammation, swelling, and destruction of joints. In this study we used intra-articular lavage of the knee joint to easily and rapidly assess the kinetics of cellular infiltration and cytokine production within the local joint synovial environment during disease in rodent models of arthritis. In collagen induced arthritis in rats, knees of arthritic animals had increased cellularity composed of neutrophils, monocytes and T cells as well as marked increases in pro-inflammatory cytokines and chemokines including IL-1b,
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Brandt, Kenneth D. "Animal models of osteoarthritis." Biorheology: The Official Journal of the International Society of Biorheology 39, no. 1-2 (2002): 221–35. http://dx.doi.org/10.1177/0006355x2002039001002024.

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Animal models have proved to be of considerable importance in elucidating mechanisms underlying joint damage in osteoarthritis (OA) and providing proof of concept in the development of pharmacologic and biologic agents that may modify structural damage in the OA joint. The utility of animal models in predicting the response to an intervention with a drug or biologic agent in humans, however, can be established only after evidence is obtained of a positive effect of the agent in humans. To date, no agent has been shown unequivocally to have such an effect, although diacerhein and glucosamine ha
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Li, Dan, Samuel Iddi, Wesley K. Thompson, and Michael C. Donohue. "Bayesian latent time joint mixed effect models for multicohort longitudinal data." Statistical Methods in Medical Research 28, no. 3 (2017): 835–45. http://dx.doi.org/10.1177/0962280217737566.

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Characterization of long-term disease dynamics, from disease-free to end-stage, is integral to understanding the course of neurodegenerative diseases such as Parkinson’s and Alzheimer’s, and ultimately, how best to intervene. Natural history studies typically recruit multiple cohorts at different stages of disease and follow them longitudinally for a relatively short period of time. We propose a latent time joint mixed effects model to characterize long-term disease dynamics using this short-term data. Markov chain Monte Carlo methods are proposed for estimation, model selection, and inference
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Herzog, W., A. Clark, and J. Wu. "Resultant and local loading in models of joint disease." Arthritis & Rheumatism 49, no. 2 (2003): 239–47. http://dx.doi.org/10.1002/art.11004.

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Dong, Jianghu (James), Jiguo Cao, Jagbir Gill, Clifford Miles, and Troy Plumb. "Functional joint models for chronic kidney disease in kidney transplant recipients." Statistical Methods in Medical Research 30, no. 8 (2021): 1932–43. http://dx.doi.org/10.1177/09622802211009265.

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This functional joint model paper is motivated by a chronic kidney disease study post kidney transplantation. The available kidney organ is a scarce resource because millions of end-stage renal patients are on the waiting list for kidney transplantation. The life of the transplanted kidney can be extended if the progression of the chronic kidney disease stage can be slowed, and so a major research question is how to extend the transplanted kidney life to maximize the usage of the scarce organ resource. The glomerular filtration rate is the best test to monitor the progression of the kidney fun
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Dvorak, N. "TOWARDS FUNCTIONAL PATIENT-DERIVED ORGANOIDS AS MODELS FOR SOFT-TISSUE JOINT DISEASE." Orthopaedic Proceedings 106-B, SUPP_2 (2024): 130. http://dx.doi.org/10.1302/1358-992x.2024.2.130.

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In-vitro models of disease are valuable tools for studying disease and analysing response to therapeutics. Recently, advances in patient-derived organoid (PDO) models have been shown to faithfully recapitulate structure, function, and therapeutic response for a wide range of tissues. Frozen shoulder is a rare example of a chronic inflammatory fibrotic disease which is self-limiting, unlike many other soft tissue fibrotic disorders. As no in-vitro 3D models or in-vivo animal models exist for frozen shoulder, establishing an organoid model which recapitulates core diseases features may give insi
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Baer, Daniel R., Andrew B. Lawson, and Jane E. Joseph. "Joint space–time Bayesian disease mapping via quantification of disease risk association." Statistical Methods in Medical Research 30, no. 1 (2021): 35–61. http://dx.doi.org/10.1177/0962280220938975.

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Alzheimer’s disease is an increasingly prevalent neurological disorder with no effective therapies. Thus, there is a need to characterize the progression of Alzheimer’s disease risk in order to preclude its inception in patients. Characterizing Alzheimer’s disease risk can be accomplished at the population-level by the space–time modeling of Alzheimer’s disease incidence data. In this paper, we develop flexible Bayesian hierarchical models which can borrow risk information from conditions antecedent to Alzheimer’s disease, such as mild cognitive impairment, in an effort to better characterize
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Filer, Andrew, Paola de Pablo, Gina Allen, et al. "Utility of ultrasound joint counts in the prediction of rheumatoid arthritis in patients with very early synovitis." Annals of the Rheumatic Diseases 70, no. 3 (2010): 500–507. http://dx.doi.org/10.1136/ard.2010.131573.

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ObjectivesEarly therapy improves outcomes in rheumatoid arthritis (RA). It is therefore important to improve predictive algorithms for RA in early disease. This study evaluated musculoskeletal ultrasound, a sensitive tool for the detection of synovitis and erosions, as a predictor of outcome in very early synovitis.Methods58 patients with clinically apparent synovitis of at least one joint and symptom duration of ≤3 months underwent clinical, laboratory, radiographic and 38 joint ultrasound assessments and were followed prospectively for 18 months, determining outcome by 1987 American College
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Dissertations / Theses on the topic "Joint disease models"

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Takafuji, Vivian Ann. "Recombinant Equine Interleukin-1 Induced Models of Equine Joint Disease." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/29713.

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Osteoarthritis (OA) is a debilitating disease of joints that afflicts horses of all ages and breeds and can result in lameness, suboptimal performance, and decreased quality of life. The pro-inflammatory cytokine interleukin-1 (IL-1) has been associated with the initiation and pathogenesis of joint disease. In part, this occurs by induction of proteases and oxidative pathways that contribute to the degradation of structural components of the articular cartilage extracellular matrix. Elucidating the complex macromolecular and molecular effects of IL-1 on articular tissues may further our und
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Baker, Jannah F. "Bayesian spatiotemporal modelling of chronic disease outcomes." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/104455/1/Jannah_Baker_Thesis.pdf.

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This thesis contributes to Bayesian spatial and spatiotemporal methodology by investigating techniques for spatial imputation and joint disease modelling, and identifies high-risk individual profiles and geographic areas for type II diabetes mellitus (DMII) outcomes. DMII and related chronic conditions including hypertension, coronary arterial disease, congestive heart failure and chronic obstructive pulmonary disease are examples of ambulatory care sensitive conditions for which hospitalisation for complications is potentially avoidable with quality primary care. Bayesian spatial and spatiote
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Poulet, Blandine. "Characterising a model for non-invasive loading of the murine joint : initial studies into the interplay between mechanical and genetic factors in osteoarthritis." Thesis, Royal Veterinary College (University of London), 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558982.

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Waters, Nicole Poythress. "Development of post-traumatic osteoarthritis models to evaluate effects of impact injury on joint health for clinical disease treatment and prevention." Thesis, University of Missouri - Columbia, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10180779.

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<p>Osteoarthritis is one of the most common, debilitating, musculoskeletal diseases in the world. Currently, there is no cure. It is well-known that a traumatic, joint injury increases the risk of developing post-traumatic osteoarthritis (PTOA). Therefore, in order to improve clinical treatment and prevention strategies for post-traumatic osteoarthritis (PTOA), a series of translational studies were conducted to develop research models to evaluate the effects of impact injury. </p><p> The first section of this dissertation (Ch. 1&ndash;2) provides a comprehensive introduction and literature
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Diallo, Alhassane. "Recherche de sous-groupes évolutifs et leur impact sur la survie : application à des patients atteints d'ataxie spinocérébelleuse (SCA) Body Mass Index Decline Is Related to Spinocerebellar Ataxia Disease Progression Survival in patients with spinocerebellar ataxia types 1, 2, 3, and 6 (EUROSCA): a longitudinal cohort study." Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUS447.

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Dans les études de cohorte, le plus souvent les modèles utilisés supposent que la population d’étude suit un profil moyen d’évolution. Cependant dans de nombreux cas, comme pour les ataxies spinocérébelleuses (SCA), il n’est pas rare qu’une hétérogénéité soit suspectée. Cette hétérogénéité pourrait aussi être influencée par d’autres évènements intercurrents : évolution conjointe d’un second phénotype ou survenue d’un évènement tel la sortie d’étude ou le décès. Dans la première partie de cette thèse, nous avons analysé l’évolution de l’IMC des patients SCA et identifié des profils d’évolution
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Dias, Cecilia Maria. "The role of homocytotropic antibodies in a model of inflammatory joint disease /." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61799.

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Bakharevski, Olga 1968. "Mechanisms of joint injury in an animal model of collagen-induced arthritis." Monash University, Dept. of Medicine, 2000. http://arrow.monash.edu.au/hdl/1959.1/9188.

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Earnest, Arul. "Addressing issues in sparseness, ecological bias and formulation of the adjacency matrix in Bayesian spatio-temporal analysis of disease counts." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/31842/1/Arul_Earnest_Thesis.pdf.

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The main objective of this PhD was to further develop Bayesian spatio-temporal models (specifically the Conditional Autoregressive (CAR) class of models), for the analysis of sparse disease outcomes such as birth defects. The motivation for the thesis arose from problems encountered when analyzing a large birth defect registry in New South Wales. The specific components and related research objectives of the thesis were developed from gaps in the literature on current formulations of the CAR model, and health service planning requirements. Data from a large probabilistically-linked database fr
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Li, Shuxian. "Modélisation spatio-temporelle pour l'esca de la vigne à l'échelle de la parcelle." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0313/document.

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L'esca de la vigne fait partie des maladies de dépérissement incurables dont l'étiologie n'est pas complément élucidée. Elle représente un des problèmes majeurs en viticulture. L'objectif général de cette thèse est d'améliorer la compréhension des processus épidémiques et des facteurs de risque. Pour ce faire, nous avons mené une étude quantitative du développement spatio-temporel de l'esca à l'échelle de la parcelle. Dans un premier temps, pour détecter d'éventuelles corrélations spatiales entre les cas de maladie, des tests statistiques non paramétriques sont appliqués aux données spatio-tem
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Mbouzao, Boniface. "Quantitative Assessment of Human Motion Capabilities with Passive Vision Monitoring." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24295.

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Rheumatoid Arthritis (RA) is a disease in which the body has "turned on itself", with its immune system attacking mobility. In RA, an immune mechanism attacks and destroys the joints and limits mobility, in some circumstances to the point of needing replacement of joints. The aim of this research is the development of a less costly, widely accessible, passive sensing technology that provides a quantitative assessment of RA and that monitors the therapeutic effectiveness on joint-debilitating diseases. The proposed solution relies on a quantitative evaluation of human gestures. Such a quanti
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Books on the topic "Joint disease models"

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DeRousseau, C. Jean. Osteoarthritis in rhesus monkeys and gibbons: A locomotor model of joint degeneration. Karger, 1988.

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Zika Virus Disease. Exon Publications, 2024. http://dx.doi.org/10.36255/zika-virus-disease.

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Zika Virus Disease is a mosquito-borne illness that can cause mild symptoms such as fever, rash, and joint pain but is particularly concerning for its potential to cause severe birth defects and neurological complications. This article provides a detailed understanding of Zika Virus Disease, serving as a valuable resource for the public. The article begins with an introduction to the virus, explaining its origins and primary modes of transmission. It covers the causes of infection, including how the virus is transmitted by mosquitoes and other methods. The article discusses the different strai
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Aspden, Richard, and Jenny Gregory. Morphology. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199668847.003.0011.

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The study of joint morphology can help us to understand the risk factors for osteoarthritis (OA), how it progresses, and aids in developing imaging biomarkers for study of the disease. OA results in gross structural changes in affected joints. Growth of osteophytes, deformation of joint components, and loss of joint space where cartilage has broken down are all characteristics of the disorder. Certain bone shapes as well as malalignment predispose people to future OA, or may be a marker for early OA. Geometrical measures, such as the alpha angle or Wiberg’s CE angle, used to be the primary too
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Eder, Lihi. The clinical course and outcome of psoriatic arthritis. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198737582.003.0021.

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In contrast to early reports, it is now appreciated that psoriatic arthritis (PsA) can present as a destructive, progressive, and disabling arthritis with consequences as severe as those of rheumatoid arthritis. Longitudinal cohort studies of PsA patients contributed important knowledge about long-term outcomes, such as development of structural joint damage, remission achievement, and physical function. These studies identified predictors for improved outcomes including male gender and lower burden of inflammation at presentation while delayed diagnosis, disability, and joint damage are assoc
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Long, William J., and Giles R. Scuderi. Total knee replacement. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199550647.003.008006.

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de Vlam, Kurt. Overview of psoriatic arthritis pathogenesis. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198737582.003.0004.

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Psoriatic arthritis (PsA) is a chronic inflammatory arthritis occurring in patients with psoriasis. Some consider it as part of the heterogeneous group of diseases unified in the concept of spondyloarthritis (SpA). At least some subtypes, such as the oligoarticular and axial subtypes, can be classified as SpA. The aetiology and pathogenesis are poorly understood. An enthesitis-based model was proposed to unify skin and joint manifestation and to differentiate PsA from other rheumatic diseases such as rheumatoid arthritis and osteoarthritis. The development of PsA results from the interplay of
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Computational Biomechanics Of The Wrist Joint. Springer, 2012.

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Breban, Maxime, and Hill Gaston. Immune mechanisms: adaptive immunity. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198734444.003.0008.

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The role of adaptive immunity (i.e. the involvement of B and T lymphocytes) in the pathogenesis of axial spondyloarthritis has been investigated in both human disease and relevant animal models. Studies of B cell responses have not generally implicated an autoantibody in the disease, but there are abnormalities of antibody responses, particularly increased titres of antibodies to various gut bacteria. T cells are critical to the disease in animal models other than those where overexpression of a cytokine is engineered, suggesting that they are the drivers of the inflammatory response. There is
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Tillett, William, and Neil McHugh. Plain radiography. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198737582.003.0016.

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Psoriatic arthritis is a destructive inflammatory arthritis that can affect the peripheral and axial skeleton of patients with psoriasis. Plain radiography has formed an important part in defining psoriatic arthritis as a distinct clinical entity, from early work reporting on distinguishing features to more recent inclusion of osteoproliferation in the CASPAR classification criteria. Plain radiography is accessible, inexpensive and remains the standard measure of assessing damage in inflammatory arthritis. Originally considered a benign disease psoriatic arthritis is now recognised to be destr
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Zachar, Peter, and Robert F. Krueger. Personality Disorder and Validity. Edited by K. W. M. Fulford, Martin Davies, Richard G. T. Gipps, et al. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199579563.013.0052.

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This chapter describes the introduction of the concept of personality in the late nineteenth and early twentieth century as a secularization and medicalization of the notion of character. This secularization served as the key prelude to the initiation of the scientific study of personality traits. It also examines the origins of the concept of personality disorder in psychiatry's rejection of the disease-based concept of the degenerate, morbid personality. After setting the historical stage, the chapter explores three validity-related issues. The first is a question about what role values shou
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Book chapters on the topic "Joint disease models"

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Patel, Preethi, and Christopher M. Whinney. "Comanagement Models for the Patient with Joint Disease." In Perioperative Management of Patients with Rheumatic Disease. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2203-7_40.

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Dreassi, Emanuela. "Shared Components Models in Joint Disease Mapping: A Comparison." In Classification and Data Mining. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28894-4_25.

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Zhang, Qingzhao, Hao Chai, Weijuan Liang, and Shuangge Ma. "Robust Identification of Gene-Environment Interactions Under High-Dimensional Accelerated Failure Time Models." In Financial Mathematics and Fintech. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2366-3_3.

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AbstractFor complex diseases, beyond the main effects of genetic (G) and environmental (E) factors, gene-environment (G-E) interactions also play an important role. Many of the existing G-E interaction methods conduct marginal analysis, which may not appropriately describe disease biology. Joint analysis methods have been developed, with most of the existing loss functions constructed based on likelihood. In practice, data contamination is not uncommon. Development of robust methods for interaction analysis that can accommodate data contamination is very limited. In this study, we consider cen
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Di Maso, Matteo, Monica Ferraroni, Pasquale Ferrante, Serena Delbue, and Federico Ambrogi. "Longitudinal profile of a set of biomarkers in predicting Covid-19 mortality using joint models." In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.36.

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In survival analysis, time-varying covariates are endogenous when their measurements are directly related to the event status and incomplete information occur at random points during the follow-up. Consequently, the time-dependent Cox model leads to biased estimates. Joint models (JM) allow to correctly estimate these associations combining a survival and longitudinal sub-models by means of a shared parameter (i.e., random effects of the longitudinal sub-model are inserted in the survival one). This study aims at showing the use of JM to evaluate the association between a set of inflammatory b
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Catry, Thibault, Cécile Vignolles, Serge Olivier Kotchi, et al. "Mosquito-borne diseases." In Earth observation, public health and one health: activities, challenges and opportunities. CABI, 2022. http://dx.doi.org/10.1079/9781800621183.0002.

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Abstract The World Health Organization (WHO) has highlighted identification and monitoring of vector populations as an important component of global vector-borne disease surveillance efforts. EO and RVF map data could play a crucial role in identifying risk locations for mosquito-borne diseases globally on the basis of habitat and climate variables. EO and RVF map data are also useful for measuring or mapping a range of environmental parameters that help determine mosquito vector occurrence and abundance and the rate of development of mosquito-borne parasites and pathogens in mosquito vectors.
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Pavani, Jessica, and Paula Moraga. "A Bayesian Joint Spatio-temporal Model for Multiple Mosquito-Borne Diseases." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16427-9_7.

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Wang, Jiarong. "Cassava Disease Recognition and Model Analysis Based on Joint ResNeXt and EfficientNet." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3210-4_35.

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Sandor, Katalin, Kutty Selva Nandakumar, Rikard Holmdahl, and Camilla I. Svensson. "Collagen Antibody-Induced Arthritis: A Disease-Relevant Model for Studies of Persistent Joint Pain." In Methods in Pharmacology and Toxicology. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-095-3_27.

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Duan, Wenhong, Jiaquan Yuan, Li Xiong, et al. "Research on Axial Tensile Mechanical Properties of Early-Strength High Ductility Cementitious Composites." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4090-1_35.

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AbstractCement concrete is widely used in pavement, bridge decks and expansion joint anchorage zones. It is prone to cracking, potholes, spalling and other diseases during use. Cement-based repair materials generally have problems such as a long curing period, low bonding strength with existing concrete, and insufficient mechanical properties. Given this, this paper proposes an early-strength high-ductility cement composite material with the goal of short curing age, excellent tensile mechanical properties and relatively low price. The tensile mechanical properties of the composite material at
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Ngo, Khoa, Nathaniel T. Herrera, Milda Folkmanaite, Kei Yamamoto, and Mary M. Maleckar. "In silico Investigation of Sex-Specific Osteoarthritis in Human Articular Chondrocytes." In Computational Physiology. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25374-4_3.

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AbstractOsteoarthritis (OA), a progressive degenerative disease of cartilage in joints, is the most common cause of chronic disability in older adults. While OA is mostly considered an age-related pathology, women have a 1.5-fold higher risk of developing OA relative to men and experience more severe symptoms. Yet, they remain underrepresented in musculoskeletal research and clinical trials. Responsible for cartilage formation, articular chondrocytes experience physiological changes in OA, but the functional implications of such alterations remain largely unexplored due to difficulties in acqu
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Conference papers on the topic "Joint disease models"

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Paklao, Thummarat, Apichat Suratanee, and Kitiporn Plaimas. "Integrative Analysis of Gene Co-Expression Networks Combined with Flux Balance Analysis of Metabolic Models for Insights into Chronic Obstructive Pulmonary Disease." In 2025 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON). IEEE, 2025. https://doi.org/10.1109/ectidamtncon64748.2025.10962056.

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Hua, Ting, Chandan K. Reddy, Lei Zhang, et al. "Social Media based Simulation Models for Understanding Disease Dynamics." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/528.

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In this modern era, infectious diseases, such as H1N1, SARS, and Ebola, are spreading much faster than any time in history. Efficient approaches are therefore desired to monitor and track the diffusion of these deadly epidemics. Traditional computational epidemiology models are able to capture the disease spreading trends through contact network, however, one unable to provide timely updates via real-world data. In contrast, techniques focusing on emerging social media platforms can collect and monitor real-time disease data, but do not provide an understanding of the underlying dynamics of ai
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Thongsakul, Peeranat, and May Phu Paing. "Comparison of Deep Learning-based Models for Oral Disease Detection." In 2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE). IEEE, 2024. http://dx.doi.org/10.1109/jcsse61278.2024.10613739.

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Lu, Chang, Chandan K. Reddy, Prithwish Chakraborty, Samantha Kleinberg, and Yue Ning. "Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/486.

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Accurate and explainable health event predictions are becoming crucial for healthcare providers to develop care plans for patients. The availability of electronic health records (EHR) has enabled machine learning advances in providing these predictions. However, many deep-learning-based methods are not satisfactory in solving several key challenges: 1) effectively utilizing disease domain knowledge; 2) collaboratively learning representations of patients and diseases; and 3) incorporating unstructured features. To address these issues, we propose a collaborative graph learning model to explore
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Fayssal, Iyad, and Fadl Moukalled. "A Numerical Analysis of the Hemodynamic Functionality of Human Coronary Stenosis Under Different Physiologic Conditions and Boundary Condition Formulations." In ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/ajkfluids2019-4820.

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Abstract Coronary artery disease (CAD) is among the foremost causes for human death worldwide. This study aims at investigating the performance of different boundary condition model types to characterize CAD functional significance. In addition, alternate models to estimate FFR using any different combination of boundary conditions at inlet and outlet were analyzed. In the first type of boundary condition, an outflow resistance model is used combined with a fixed pressure at inlet. In the second model of boundary conditions, constant pressure values are imposed at the domain inlet and outlet/s
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Ono, Kensuke, Ken Yamamoto, Takahiro Tsukahara, et al. "Flow Measurement in Stented Left Coronary Artery Models." In ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/ajkfluids2019-5154.

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Abstract Ischemic heart disease, a generic term for angina pectoris and myocardial infarction, is caused by blood flow failure due to a lesion generated in the coronary artery of the heart. Because the ischemic heart disease causes fatal problems, a stent placement technique called the percutaneous coronary intervention (PCI) is frequently performed to expand coarctated arteries to recover the function. However, although the PCI technique is a less-invasive technique, there is a risk of complications such as stent thrombosis and restenosis due to the placed stent. In order to understand the ca
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Chen, Huiyuan, and Jing Li. "Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/477.

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Precise medicine recommendations provide more effective treatments and cause fewer drug side effects. A key step is to understand the mechanistic relationships among drugs, targets, and diseases. Tensor-based models have the ability to explore relationships of drug-target-disease based on large amount of labeled data. However, existing tensor models fail to capture complex nonlinear dependencies among tensor data. In addition, rich medical knowledge are far less studied, which may lead to unsatisfied results. Here we propose a Neural Tensor Network (NeurTN) to assist personalized medicine trea
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Apiromrakl, Wasawat, Chanavee Toh, Pornpen Sangthawan, and Thammasin Ingviya. "Prediction Chronic Kidney Disease Progression in Diabetic Patients Using Machine Learning Models." In 2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE). IEEE, 2024. http://dx.doi.org/10.1109/jcsse61278.2024.10613676.

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Zhu, Ruiliang, Xiangshuai Song, Hao Zhang, and Xuli Cai. "Joint Extraction of Entity Relationships in Walnut Disease and Pest Based on Chinese NLP Models." In 2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA). IEEE, 2024. http://dx.doi.org/10.1109/eebda60612.2024.10485759.

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Xu, Jie, Cheng Deng, Xinbo Gao, Dinggang Shen, and Heng Huang. "Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/542.

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Alzheimer's disease (AD) is a neurodegenerative disorder with slow onset, which could result in the deterioration of the duration of persistent neurological dysfunction. How to identify the informative longitudinal phenotypic neuroimaging markers and predict cognitive measures are crucial to recognize AD at early stage. Many existing models related imaging measures to cognitive status using regression models, but they did not take full consideration of the interaction between cognitive scores. In this paper, we propose a robust low-rank structured sparse regression method (RLSR) to address thi
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Reports on the topic "Joint disease models"

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Giuffrida, Antonio, Roberto F. Iunes, and William D. Savedoff. Economic and Health Effects of Occupational Hazards in Latin America and the Caribbean. Inter-American Development Bank, 2001. http://dx.doi.org/10.18235/0008920.

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This study describes the health dimension and some economic aspects of occupational safety in Latin America and the Caribbean. The study is the result of a joint effort by the IDB's Region 3 and Sustainable Development Departments which was undertaken to identify the major trends and issues related to improving occupational safety in Latin America and the Caribbean. It shows that the region has a very high disease burden in this area, and that economic patterns of employment and public regulatory responses make these health problems more acute than in Europe or North America. The paper was dis
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Microbiology in the 21st Century: Where Are We and Where Are We Going? American Society for Microbiology, 2004. http://dx.doi.org/10.1128/aamcol.5sept.2003.

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The American Academy of Microbiology convened a colloquium September 5–7, 2003, in Charleston, South Carolina to discuss the central importance of microbes to life on earth, directions microbiology research will take in the 21st century, and ways to foster public literacy in this important field. Discussions centered on: the impact of microbes on the health of the planet and its inhabitants; the fundamental significance of microbiology to the study of all life forms; research challenges faced by microbiologists and the barriers to meeting those challenges; the need to integrate microbiology in
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