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Tesis sobre el tema "Disease progression modeling"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 19 de julio de 2025

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1

Huszti, Ella. "Markov modeling of disease progression and mortality." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=95060.

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Prognostic studies of progression and mortality in different diseases are essential to understand the role of particular prognostic factors and, thus, improve prognosis and ultimately help selecting appropriate interventions. Yet, such studies often face serious limitations of available data and/or of the existing statistical methods. One difficulty concerns separating the effects of putative prognostic factors on different clinical endpoints or competing events such as e.g. disease recurrence vs. recurrence-free death, or death due to disease vs. death due to other causes. This issue becom

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2

Sauty, Benoît. "Multimodal modelling of Alzheimer's Disease progression." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS348.

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La maladie d'Alzheimer (MA) est une pathologie multi-facette qui peut être surveillée grâce à une grande variété de modalités de données. Cette thèse vise à exploiter des données longitudinales multimodales, principalement des données d'imagerie et des tests cognitifs, pour fournir une description statistique de la progression de la MA et permettre une prévision individuelle de la dégradation future. Les modèles de progression à effet-mixtes de la maladie (DPMs) sont couramment utilisés pour ces tâches. Dans ce contexte, notre première contribution remet en question l'hypothèse fréquente selon

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3

McHugh, Kevin J. "Age-related macular degeneration: interventional tissue engineering and predictive modeling of disease progression." Thesis, Boston University, 2014. https://hdl.handle.net/2144/19690.

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Thesis (Ph.D.)--Boston University<br>Age-related macular degeneration (AMD) is the leading cause of irreversible blindness in people over the age of 50. As many as 50 million people are affected by AMD worldwide and prevalence is expected to continue to rise due to an aging population. There are two forms of the disease, dry (geographic atrophy) and wet (choroidal neovascularization), both of which result in retinal degeneration and central vision loss. Although anti-vascular endothelial growth factor therapies are moderately successful at treating the wet form, there are no treatments current

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4

Shelton, Morgan Griffin. "Modeling the Effects of Supercomplex Formation and Stress Response on Alzheimer’S Disease Progression." W&M ScholarWorks, 2019. https://scholarworks.wm.edu/etd/1563899025.

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Alzheimer’s disease is a specific form of dementia characterized by the aggregation of Amyloid-β plaques and tau tangles. New research has found that the formation of these aggregates occurs after dysregulation of respiratory activity and the production of radical oxygen species. Proteomic data shows that these changes are also related to unique gene expression patterns. We investigate the impact of these findings on new therapeutic options via metabolic flux analysis of sirtuin stress response pathways and respiratory supercomplex formation. Our results indicate CRISPR Cas-based gene therapy

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5

Conrado, Daniela J., Timothy Nicholas, Kuenhi Tsai, et al. "Dopamine Transporter Neuroimaging as an Enrichment Biomarker in Early Parkinson's Disease Clinical Trials: A Disease Progression Modeling Analysis." WILEY, 2018. http://hdl.handle.net/10150/626602.

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Given the recognition that disease-modifying therapies should focus on earlier Parkinson's disease stages, trial enrollment based purely on clinical criteria poses significant challenges. The goal herein was to determine the utility of dopamine transporter neuroimaging as an enrichment biomarker in early motor Parkinson's disease clinical trials. Patient-level longitudinal data of 672 subjects with early-stage Parkinson's disease in the Parkinson's Progression Markers Initiative (PPMI) observational study and the Parkinson Research Examination of CEP-1347 Trial (PRECEPT) clinical trial were ut

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6

Hubbard, Rebecca Allana. "Modeling a non-homogeneous Markov process via time transformation /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/9607.

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7

Bône, Alexandre. "Learning adapted coordinate systems for the statistical analysis of anatomical shapes. Applications to Alzheimer's disease progression modeling." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS273.

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Cette thèse construit des systèmes de coordonnées pour formes, c'est-à-dire des espaces métriques de dimension finie où les formes sont représentées par des vecteurs. Construire de tels systèmes de coordonnées permet de faciliter l'analyse statistique de collections de formes. Notre motivation finale est de prédire et de sous-typer la maladie d'Alzheimer, en se basant notamment sur des marqueurs ainsi extraits de banques d'images médicales du cerveau. Même si de telles banques sont longitudinales, la variabilité qu’elles renferment reste principalement due à la variabilité inter-individuelle i

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8

Robertson, Chadia L. "Analysis of the Role of Astrocyte Elevated Gene-1 in Normal Liver Physiology and in the Onset and Progression of Hepatocellular Carcinoma." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3573.

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First identified over a decade ago, Astrocyte Elevated Gene-1 (AEG-1) has been studied extensively due to early reports of its overexpression in various cancer cell lines. Research groups all over the globe including our own have since identified AEG-1 overexpression in cancers of diverse lineages including cancers of the liver, colon, skin, prostate, breast, lung, esophagus, neurons and neuronal glia as compared to matched normal tissue. A comprehensive and convincing body of data currently points to AEG-1 as an essential component, critical to the progression and perhaps onset of cancer. AEG

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9

dePillis-Lindheim, Lydia. "Disease Correlation Model: Application to Cataract Incidence in the Presence of Diabetes." Scholarship @ Claremont, 2013. http://scholarship.claremont.edu/scripps_theses/294.

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Diabetes is a major risk factor for the development of cataract [3,14,20,22]. In this thesis, we create a model that allows us to understand the incidence of one disease in the context of another; in particular, cataract in the presence of diabetes. The World Health Organization's Vision 2020 blindness-prevention initiative administers surgeries to remove cataracts, the leading cause of blindness worldwide [24]. One of the geographic areas most impacted by cataract-related blindness is Sub-Saharan Africa. In order to plan the number of surgeries to administer, the World Health Organization use

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10

Laranjeira, Simão. "Modelling the progression of neurodegenerative diseases." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:ebb621d0-e4e6-405e-9e54-ba385c3ebd0a.

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Neurodegenerative disease is an umbrella term for pathologies that primarily damage neurons. As their incidence increases with age it is becoming of a greater concern for the west, due to its aging population. Due to their chronic nature and the difficulty to create reliable and reproducible animal models of these diseases their pathophysiologies are still poorly understood. For all these reasons, a mathematical modelling approach is suggested. The methodology of the work here consisted of identifying the state of the art models that describe the healthy behaviour of cells (e.g. metabolism and

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11

Parpia, Tamiza. "Statistical methodology for modelling immunological progression in HIV disease." Thesis, Edinburgh Napier University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313234.

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12

Ahmed, Siraj. "Prediction of Rate of Disease Progression in Parkinson’s Disease Patients Based on RNA-Sequence Using Deep Learning." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41411.

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The advent of recent high throughput sequencing technologies resulted in an unexplored big data of genomics and transcriptomics that might help to answer various research questions in Parkinson’s disease(PD) progression. While the literature has revealed various predictive models that use longitudinal clinical data for disease progression, there is no predictive model based on RNA-Sequence data of PD patients. This study investigates how to predict the PD Progression for a patient’s next medical visit by capturing longitudinal temporal patterns in the RNA-Seq data. Data provided by Parkinson P

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13

Karlsson, Kristin E. "Benefits of Pharmacometric Model-Based Design and Analysis of Clinical Trials." Doctoral thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-133104.

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Quantitative pharmacokinetic-pharmacodynamic and disease progression models are the core of the science of pharmacometrics which has been identified as one of the strategies that can make drug development more effective. To adequately develop and utilize these models one needs to carefully consider the nature of the data, choice of appropriate estimation methods, model evaluation strategies, and, most importantly, the intended use of the model. The general aim of this thesis was to investigate how the use of pharmacometric models can improve the design and analysis of clinical trials within dr

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14

Montazeri, Ghahjavarestani Maryam [Verfasser], Andreas [Akademischer Betreuer] Schuppert, and Steffen [Akademischer Betreuer] Koschmieder. "Modelling of disease progression in myeloproliferative neoplasms / Maryam Montazeri Ghahjavarestani ; Andreas Schuppert, Steffen Koschmieder." Aachen : Universitätsbibliothek der RWTH Aachen, 2019. http://d-nb.info/1211963721/34.

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15

Baker, Elizabeth Rosemary. "Approaches to disease progression modelling for identifying predictors of future cognitive decline in dementia." Thesis, King's College London (University of London), 2018. https://kclpure.kcl.ac.uk/portal/en/theses/approaches-to-disease-progression-modelling-for-identifying-predictors-of-future-cognitive-decline-in-dementia(07cd08df-14f3-4232-9ee8-1830a1bd4ff8).html.

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Dementia progression is characterised by a lengthy pre-symptomatic phase, where pathology may be accumulating, followed by a more rapid decline evidenced by onset of clinical symptoms and eventually functional impairment. The rate of decline in symptoms from cognitive impairment to dementia greatly varies between individuals, complicating prognosis and the assessment of much needed disease-modifying drugs. As a result there is a huge demand for greater understanding of the between-subject variability in progression and a need to understand biomarkers and risk factors for predicting future cogn

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16

Ghadzi, Siti Maisharah Sheikh. "Pharmacometrics Modelling in Type 2 Diabetes Mellitus : Implications on Study Design and Diabetes Disease Progression." Doctoral thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-317040.

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Pharmacometric modelling is widely used in many aspects related to type 2 diabetes mellitus (T2DM), for instance in the anti-diabetes drug development, and in quantifying the disease progression of T2DM. The aim of this thesis were to improve the design of early phase anti-diabetes drug development studies with the focus on the power to identify mechanism of drug action (MoA), and to characterize and quantify the progression from prediabetes to overt diabetes, both the natural progression and the progression with diet and exercise interventions, using pharmacometrics modelling. The appropriate

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17

Sarini, Sarini. "Statistical methods for modelling falls and symptoms progression in patients with early stages of Parkinson's disease." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/116208/1/_Sarini_Thesis.pdf.

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This thesis was a step forward in gaining insight into falls in people with early stages of Parkinson's disease (PD), and in monitoring the disease progression based on clinical assessments. This research contributes new knowledge by providing new insights into utilizing information provided by the clinically administered instruments used routinely for the assessment of PD severity. The novel approach to modelling the progression of PD symptoms using multi-variable clinical assessment measurements for longitudinal data provides a new perspective into disease progression.

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18

Choy, Steve. "Semi-mechanistic models of glucose homeostasis and disease progression in type 2 diabetes." Doctoral thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-273709.

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Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by consistently high blood glucose, resulting from a combination of insulin resistance and reduced capacity of β-cells to secret insulin. While the exact causes of T2DM is yet unknown, obesity is known to be a major risk factor as well as co-morbidity for T2DM. As the global prevalence of obesity continues to increase, the association between obesity and T2DM warrants further study. Traditionally, mathematical models to study T2DM were mostly empirical and thus fail to capture the dynamic relationship between glucose and ins

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19

Nakajima, Taiki. "Modeling human somite development and fibrodysplasia ossificans progressiva with induced pluripotent stem cells." Kyoto University, 2019. http://hdl.handle.net/2433/242429.

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20

Huang, Huifeng. "Haemodynamics in diseased arteries : Effects on plaque and anerysm progression by advanced imaging and modelling techniques." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.532282.

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21

Fung, Chun Hai. "Mathematical modelling studies of the role of superinfection and non adherence to antiretroviral therapy on HIV disease progression and viral blips." Thesis, Imperial College London, 2009. http://hdl.handle.net/10044/1/4437.

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This thesis examines the impact of HIV superinfection (infection of HIV-positive individuals by a heterologous HIV strain after immune responses have been established against the first strain) upon HIV disease progression and viral blips, and the relationship between non-adherence to cART and the occurrence of viral blips. For these purposes, a mathematical model of HIV within-host dynamics with two strains has been developed. My results suggest: firstly, HIV superinfection in and of itself was found not leading to faster progression to AIDS; it is only superinfection with strains of a higher

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22

Ortholand, Juliette. "Joint modelling of events and repeated observations : an application to the progression of Amyotrophic Lateral Sclerosis." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS227.

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L’hétérogénéité des progressions des maladies chroniques, comme la Sclérose Latérale Amyotrophique (SLA), constitue un obstacle au développement de traitements. L'utilisation croissante de bases de données, couplée à la modélisation de ces maladies, contribue à une meilleure compréhension de ce phénomène. Cependant, les données collectées ne permettent de décrire que des trajectoires partielles qui doivent être réalignées pour reconstruire une progression complète de la maladie. Le modèle spatiotemporel est l’un des modèles développés pour traiter cette question. Son principal intérêt est sa c

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23

Sanches, Maria Clara Pires. "Language impairments in neurodegenerative diseases : function, dysfunction and modulation with transcranial stimulation." Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS669.

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Le langage est une caractéristique déterminante de l'être humain et depuis des siècles les chercheurs s'intéressent à l'organisation fonctionnelle du langage et aux substrats neuronaux sous-tendent son fonctionnement normal. Le dysfonctionnement des mécanismes permettant un bon fonctionnement langagier est présent dans différentes maladies neurodégénératives, devenues ainsi un modèle majeur pour explorer les capacités langagières. En l'absence de traitement efficace pour les troubles du langage dans différentes maladies neurodégénératives, les techniques non invasives de stimulation cérébrale

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24

Plan, Elodie L. "Pharmacometric Methods and Novel Models for Discrete Data." Doctoral thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-150929.

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Pharmacodynamic processes and disease progression are increasingly characterized with pharmacometric models. However, modelling options for discrete-type responses remain limited, although these response variables are commonly encountered clinical endpoints. Types of data defined as discrete data are generally ordinal, e.g. symptom severity, count, i.e. event frequency, and time-to-event, i.e. event occurrence. Underlying assumptions accompanying discrete data models need investigation and possibly adaptations in order to expand their use. Moreover, because these models are highly non-linear,

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25

Pérez, lanzón María. "Modeling Hormone Receptor Positive Breast Cancer in Immunocompetent Mice Blocking tumor-educated MSC paracrine activity halts osteosarcoma progression Organoids for Modeling Genetic Diseases. In: International Review of Cell and Molecular Biology A preclinical mouse model of osteosarcoma to define the extracellular vesicle-mediated communication between tumor and mesenchymal stem cells Failure of immunosurveillance accelerates aging The metabolomic signature of extreme longevity: Naked mole rats versus mice Lurbinectedin synergizes with immune checkpoint blockade to generate anticancer immunity Laminin-binding integrins are essential for the maintenance of functional mammary secretory epithelium in lactation Immunoprophylactic and immunotherapeutic control of hormone receptor-positive breast cancer." Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPASL019.

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Les progrès de la recherche sur le cancer du sein dépendent de la disponibilité d’outils appropriés, comme les lignées cellulaires qui peuvent être implantées chez des souris immunocompétentes. La souche de souris C57Bl/6 est la plus étudiée et c’est la seule pour laquelle certaines variantes génétiques sont disponibles. Étant donné qu'aucune lignée cellulaire de carcinome mammaire à récepteurs hormonaux positifs de souche C57Bl/6 n'est disponible, nous avons décidé d'établir des lignées cellulaires de ce type. Nous avons induit des cancers du sein chez des souris C57BL/6 femelles en utilisant

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26

Beleza, Mafalda Cardoso de Lemos Gomes. "Modeling Alzheimer’s Disease progression using Temporal Data." Master's thesis, 2020. http://hdl.handle.net/10451/48746.

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Tese de mestrado, Bioinformática e Biologia Computacional, Universidade de Lisboa, Faculdade de Ciências, 2021<br>Alzheimer’s Disease (AD) is a progressive brain disorder that slowly leads to memory loss, confusion, disorientation, and inability to communicate. It is very important an early detection of the disease in order to improve patients’ life quality and slow down the symptoms. Since there is still no cure available (although specific medications may attenuate the symptoms for a time), it ultimately draws from family members and society. Measuring and estimating the progression of such

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27

Thornquist, Mark Daniel. "Modeling discrete time ordinal disease progression data by proportional hazards." 1985. http://catalog.hathitrust.org/api/volumes/oclc/13353967.html.

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28

Wang, Qinxia. "Statistical Methods for Modeling Progression and Learning Mechanisms of Neuropsychiatric Disorders." Thesis, 2021. https://doi.org/10.7916/d8-cngh-ty69.

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The theme of this dissertation focuses on developing statistical models to learn progression dynamics and mechanisms of neuropsychiatric disorders using data from various domains. Due to limited knowledge about the underlying pathological processes in neurological disorders, it remains a challenge to establish reliable diagnostic criteria and predict disease prognosis in the presence of substantial phenotypic heterogeneity. As a result, current diagnosis and treatment of neurological disorders often rely on late-stage clinical symptoms, which poses barriers for developing effective interventio

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29

"Towards Robust Machine Learning Models for Data Scarcity." Doctoral diss., 2020. http://hdl.handle.net/2286/R.I.57014.

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abstract: Recently, a well-designed and well-trained neural network can yield state-of-the-art results across many domains, including data mining, computer vision, and medical image analysis. But progress has been limited for tasks where labels are difficult or impossible to obtain. This reliance on exhaustive labeling is a critical limitation in the rapid deployment of neural networks. Besides, the current research scales poorly to a large number of unseen concepts and is passively spoon-fed with data and supervision. To overcome the above data scarcity and generalization issues, in my disse

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30

Phatak, Amruta Rajendra. "Modeling cancer predisposition: Profiling Li-Fraumeni syndrome patient-derived cell lines using bioinformatics and three-dimensional culture models." 2015. http://hdl.handle.net/1805/8037.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Although rare, classification of over 200 hereditary cancer susceptibility syndromes accounting for ~5-10% of cancer incidence has enabled the discovery and understanding of cancer predisposition genes that are also frequently mutated in sporadic cancers. The need to prevent or delay invasive cancer can partly be addressed by characterization of cells derived from healthy individuals predisposed to cancer due to inherited "single-hits" in genes in order to develop patient-derived samples as preclinical models for mechanistic in vitro

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31

Bhalchandra, Noopur Anil. "Shape and progression modelimg and analysis in parkinson's disease through multi-modal data analysis." Thesis, 2018. http://localhost:8080/xmlui/handle/12345678/7698.

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