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Thèses sur le sujet « Personalized medicin »

Auteur : Grafiati
Publié le 9 mars 2023
Mis à jour le 31 juillet 2025

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1

BHARAT, ROHIT. "Targeting cancer cell metabolism: Gateway towards personalized medicine." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241161.

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Nell'ultimo decennio, uno dei messaggi chiave derivante dalle ricerche scientifiche sul cancro è la necessità di comprendere meglio il metabolismo delle cellule tumorali per lo sviluppo di una terapia personalizzata migliore e più efficace. Le cellule tumorali attuano un riarrangiamento metabolico che coinvolge diversi processi per supportare la loro natura proliferativa ed invasiva. Per meglio comprendere l’entità del cambiamento metabolico, in questo studio abbiamo utilizzato un approccio systems level impiegando la metabolomica untargeted e la flussomica mediante isotopi stabili del carbo
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Götze, Sarah, Daniella Ekström, Forssén Tore Larsson, Eric Sjöö, Frisinger Emma Svanberg, and Linnea Wikström. "Personalized Medicine." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444200.

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The aim of this project was to present several therapies and possible applications of these in the field of personalized medicine along with the production techniques and workflows surrounding them. There are two main categories; cell therapies and non-cell therapies. Cell therapies utilize the body's own T cells and immune system, and non-cell therapies are mostly based on proteins and nucleotides. All of these applications face different challenges that need to be overcome to be considered effective treatments and they all have a high production cost. The report also presents differences and
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Marín, Falco Matías. "Estudio de la heterogeneidad regulatoria en cáncer y sus implicaciones en la medicina personalizada." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/165413.

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[ES] El cáncer es la segunda causa de muerte en el mundo y se caracteriza principalmente por la proliferación descontrolada de las células que forman el tumor. Aunque el desarrollo de un tumor es posible debido a ciertos procesos comunes desencadenados por la desregulación del equilibrio existente entre los componentes moleculares de una célula y sus elementos de control, existe una gran heterogeneidad en los mecanismos a través de los cuales ocurre dicha desregulación. Gracias al desarrollo de nuevas tecnologías de secuenciación ha sido posible observar como esta heterogeneidad no solo se obs
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Frunza, Oana Magdalena. "Personalized Medicine through Automatic Extraction of Information from Medical Texts." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22724.

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The wealth of medical-related information available today gives rise to a multidimensional source of knowledge. Research discoveries published in prestigious venues, electronic-health records data, discharge summaries, clinical notes, etc., all represent important medical information that can assist in the medical decision-making process. The challenge that comes with accessing and using such vast and diverse sources of data stands in the ability to distil and extract reliable and relevant information. Computer-based tools that use natural language processing and machine learning
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Trincado, Alonso Juan Luis 1987. "Characterization of clinically relevant RNA alterations for personalized cancer medicine." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/665991.

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The following thesis tries to answer the question of wheter RNA processing alterations are informative for the clinical management of cancer patients. For this, the work is focused on solve two main issues: the development of computational tools to study RNA profiles from multiple tumors and the identification of RNA-related signatures that may be predictive of prognosis and therapy. The thesis is divided in three chapters: First, the development a new tool for fast quantification of differential splicing: SUPPA2. Second, a new methodology for elucidating the prognostic potential of alternati
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Bachur, Catherine. "Integrating social context into personalized medicine." Master's thesis, Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/549613.

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Urban Bioethics<br>M.A.<br>Personalized medicine is the idea that every patient can be treated in a unique manner, tailored specifically to his or her individual needs. Traditionally the field of personalized medicine has focused on using genetic information to determine medical treatment. However, humans are not only the sum of their genetic parts. All people exist within the context of their environment, their experiences, and their relationships. While the connection between this greater context and medical treatment may not be immediately obvious, it exists. If we are to truly tailor medic
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Papke, Todd Alan. "Personalized audio warning alerts in medicine." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/1378.

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Modern Electronic Health Record (EHR) systems are now integral to healthcare. Having evolved from hospital billing and laboratory systems in the 80's, EHR systems have grown considerably as we learn to represent more and more aspects of patient encounter, diagnosis and treatment digitally. EHR user interfaces, however, lag considerably behind their consumer-electronics counterparts in usability, most notably with respect to customizability. This limitation is especially evident in the implementation of audible alerts that are coupled to sensors or timing devices in intensive-care settings. The
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Ahmed, Abdul-Kareem H. "SIGN HERE : informed consent in personalized medicine." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/83832.

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Thesis (S.M. in Science Writing)--Massachusetts Institute of Technology, Dept. of Comparative Media Studies, 2013.<br>Vita. Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 27-30).<br>The next era of medicine will be one of personalization, scientists and physicians promise. Personalized medicine is a refined clinical approach in which clinicians will utilize your genomic information to help you prevent disease, and tailor targeted therapies for you when you fall ill. This is the future science has slowly been approaching. However, the human genome is not eno
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Ceccato, Filippo. "Personalized medical treatment for pituitary adenoma." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3421850.

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Introduction and Aim: Pituitary adenomas are common neoplasms, with a reported prevalence of about one case in 1000 subjects. Patients with pituitary adenomas show significant morbidity due to pituitary hormone hypersecretion or deficiencies, mass effects and infiltration of the surrounding tissues. Although trans-sphenoidal surgery and radiotherapy are largely used to treat patients with pituitary adenomas, the overall long-term remission rate is not complete, beside side effects of surgery or brain irradiation. Therefore, medical treatments with pituitary-directed drugs are increasingly used
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Ayati, Marzieh. "Algorithms to Integrate Omics Data for Personalized Medicine." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1527679638507616.

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Fonseca, Filipa Alexandra Ponte. "Farmacogenómica." Master's thesis, [s.n.], 2014. http://hdl.handle.net/10284/4510.

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Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Ciências Farmacêuticas<br>Diferenças inter-individuais na eficácia e toxicidade da medicação são comuns entre os pacientes. Estima-se que a genética possa explicar entre 20 a 95 por cento da variabilidade na resposta aos fármacos. Porém associados à genética, existem fatores tais como, a idade, sexo, doenças secundárias e outros fatores ambientais que afetam a absorção, distribuição, metabolização e excreção dos fármacos podendo levar, habitualmente, à oc
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Schneider, Anna-Maria. "Personalized asthma medication." Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-125892.

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The aim of my master degree project of Advanced Product Design was to develop a monitoring and medication device to empower people who are suffering from asthma. Asthma is a major non-communicable disease characterized by recurrent attacks of breathlessness and wheezing. It is not possible to cure asthma, but appropriate management can control the disease and enable people to enjoy a good quality of life. Asthma varies in severity and frequency from person to person and not every asthmatic will require the same level of treatment. Also asthma conditions can vary over time and the level of airw
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Kim, Hannah Yejin. "Personalised Medicine in the Treatment of Cancer." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/20103.

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Understanding of pharmacokinetic-pharmacodynamic relationship for a given drug, and factors determining this, is an important part of personalised medicine in terms of choosing the correct regimen and maximising the therapeutic benefit with minimal toxicity. In the field of cancer, diversity of disease characteristics, complexity of regimens, as well as limited understanding of PK-PD profiles of rapidly-progressing anticancer drugs, create challenges for clinicians and patients to achieve the optimal outcome. This thesis addresses areas of cancer treatment where there is a need for identificat
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Berglund, Nadja. "Inkjet Printing and Personalised Medicine:Possibilities and Practicalities." Thesis, Umeå universitet, Farmakologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-146874.

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Shen, Yuanyuan. "Ordinal Outcome Prediction and Treatment Selection in Personalized Medicine." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17463982.

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In personalized medicine, two important tasks are predicting disease risk and selecting appropriate treatments for individuals based on their baseline information. The dissertation focuses on providing improved risk prediction for ordinal outcome data and proposing score-based test to identify informative markers for treatment selection. In Chapter 1, we take up the first problem and propose a disease risk prediction model for ordinal outcomes. Traditional ordinal outcome models leave out intermediate models which may lead to suboptimal prediction performance; they also don't allow for non-lin
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Reggiani, Francesco. "Development and assessment of bioinformatics methods for personalized medicine." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3424693.

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The human genome is a source of information for researchers that study complex diseases with the perspective of a better understanding of the pathologies and the development of new therapeutic strategies. Starting from the beginning of the current century, a growing number of technologies devoted to DNA sequencing have emerged, generally referred to as Next Generation Sequencing (NGS) technologies. NGS gradually decreased the cost of sequencing a human genome to around US$1000, enabling the use of these technologies for clinical and research purposes, such as Genome-wide association studies (G
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Rubio, Pérez Carlota 1990. "Understanding the genomic makeup of tumors to guide personalized medicine." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/664287.

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Cancer is a disease of the genome. The study of tumor genomic alterations is used to guide several precision medicine strategies, some approved and a large number under clinical development. On the other hand, the study of tumor immunity is recently becoming the key for the success of other personalized strategies, named immunotherapies. Along this thesis I have made several contributions towards the advance of cancer precision medicine, based on the study of tumor “omics” data. First, I evinced the landscape of genomic-guided anti-cancer therapies. Second, I developed OncoPaD, a tool for the
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Valencia, Arboleda Carlos Felipe. "Contributions to statistical learning and its applications in personalized medicine." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49143.

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This dissertation, in general, is about finding stable solutions to statistical models with very large number of parameters and to analyze their asymptotic statistical properties. In particular, it is centered in the study of regularization methods based on penalized estimation. Those procedures find an estimator that is the result of an optimization problem balancing out the fitting to the data with the plausability of the estimation. The first chapter studies a smoothness regularization estimator for an infinite dimensional parameter in an exponential family model with functional predictors.
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Yung, Hoi-chu, and 翁海珠. "Rapid and direct DNA extraction from saliva for personalized medicine." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45986599.

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Zhuo, Ying Daisy. "New algorithms in machine learning with applications in personalized medicine." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119284.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 165-173).<br>Recent advances in machine learning and optimization hold much promise for influencing real-world decision making, especially in areas such as health care where abundant data are increasingly being collected. Howeve
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Deshmukh, Ameya. "MMP-Degradable Biosensors: Applications in Drug Delivery and Personalized Medicine." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1585925271421393.

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Schrenk, Sandra. "MODEL SYSTEMS OF INTESTINAL INFLAMMATION: A STEP TOWARDS PERSONALIZED MEDICINE." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3422306.

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Inflammatory bowel disease (IBD) is a lifelong chronic inflammatory condition of the gastrointestinal tract (GIT), with incidence and prevalence increasing worldwide. It is considered a complex, multifactorial disease with no cure. Even though large progress has been made in recent years, current therapies are far from satisfactory, and show extreme variability of outcomes due to patient heterogeneity. The traditional therapy consists of anti-inflammatories, corticosteroids, antibiotics, and immunomodulatory drugs. This non-specific immunosuppression guarantees disease-control in some patients
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Catley, Christina Anne. "Engaging Health Care Professionals in Personalized Medicine: A Pilot Study Comparing Two Professional Engagement Approaches." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32054.

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Given the emerging importance of personalized medicine (PM) in primary care, now should be the ideal time for engaging with health care professionals (HCPs), both physicians and nurses, about integrating PM into practice. The question then becomes: what is the most effective way to engage with HCPs about emerging technologies that are not in routine clinical use and which are unfamiliar to many? The overall aim of this pilot study was to develop and compare two professional engagement (PE) approaches for engaging with HCPs about PM to inform their development and design of a future formal eva
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Mukherjee, Payal. "Translation of 3D technologies for personalised medicine in Otology." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23399.

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Surgeons constantly need to customize or personalize solutions to suit the unique 3D (3 Dimensional) challenges each patient presents. Technologies such as 3D printing which enables delivery of customized or personalized medicine can play an important role in surgery. 3D tools have played an important role in Otology for many decades. However, despite a significant volume of literature in this area validating its benefit, 3D technologies are not part of routine clinical care. Why is this so? This PhD examines the challenges and feasibility of clinical translation of personalized medicine in
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Chapin, Stephen Clifford. "Encoded hydrogel microparticles for high-throughput molecular diagnostics and personalized medicine." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76565.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 141-161).<br>The ability to accurately detect and quantify biological molecules in complex mixtures is crucial in basic research as well as in clinical settings. Advancements in genetic analysis, molecular diagnostics, and patient-tailored medicine require robust detection technologies that can obtain high-density information from a range of physiological samples in a rapid and cost-effective manner. Compared to convent
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Grenet, Guillaume. "Challenges in personalized evidence-based medicine, applications in type 2 diabetes." Thesis, Lyon, 2019. https://n2t.net/ark:/47881/m62f7ms7.

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La médecine basée sur les preuves requiert des essais cliniques randomisés, qui permettent d'estimer un effet moyen du traitement. La personnalisation de l'estimation de l'effet du traitement nécessite l'estimation du risque spontané de la maladie (biomarqueur pronostique), la recherche de facteurs modifiant l'effet du traitement (biomarqueur théranostique). Des critères de substitution sont également proposés, dont la mesure devrait permettre d'évaluer l'effet du traitement sur l'événement clinique. La prise en charge des patients présentant un diabète de type 2 repose sur les médicaments hyp
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Petersen, Katelin E. "Physicians' Perceptions of the Elements, Barriers, and Availability of Personalized Medicine." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367942619.

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Liu, Xiaoman. "Personalised medicine and its application in patients with complex disorders." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/20488.

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Personalised medicine aims to achieve the best treatment outcome with the highest safety margin tailored for each individual patient. It is essential to develop biomarkers of disease characteristics, prognosis and response to treatment for the implementation of personalised medicine. Widely used in postmenopausal women with estrogen receptor positive breast cancer, third-generation aromatase inhibitors (AIs) have nevertheless marked interindividual variability in efficacy and safety. Personalised treatment with AIs is required to achieve the best therapeutic response with highest safety margin
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Vercellino, Giuseppe Filiberto [Verfasser]. "Personalized approach in gynecology / Giuseppe Filiberto Vercellino." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2015. http://d-nb.info/1072410710/34.

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Barradas, Bautista Didier. "Protein-protein docking for interactomic studies and its aplication to personalized medicine." Doctoral thesis, Universitat de Barcelona, 2017. http://hdl.handle.net/10803/401708.

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Proteins are the embodiment of the message encoded in the genes and they act as the building blocks and effector part of the cell. From gene regulation to cell signalling, as well as cell recognition and movement, protein-protein interactions (PPIs) drive many important cellular events by forming intricate interaction networks. The number of all non-redundant human binary interactions, forming the so-called interactome, ranges from 130,000 to 650,000 interactions as estimated by different studies. In some diseases, like cancer, these PPIs are altered by the presence of mutations in individual
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Cassa, Christopher A. "Privacy and identifiability in clinical research, personalized medicine, and public health surveillance." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45624.

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Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2008.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 191-200).<br>Electronic transmission of protected health information has become pervasive in research, clinical, and public health investigations, posing substantial risk to patient privacy. From clinical genetic screenings to publication of data in research studies, these activities have the potential to disclose identity, me
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Shibata, Saiko. "Mechanism-Based Personalized Medicine for Cystic Fibrosis by Suppressing Pseudo Exon Inclusion." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263526.

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Chaparro, Eduarda de Aguilhar Chaparro E. A. "Soro Autólogo de uso ocular Enfoque em Medicina Personalizada /." Botucatu, 2019. http://hdl.handle.net/11449/182156.

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Orientador: Elenice Deffune<br>Resumo: Introdução: A Síndrome do Olho Seco (SOS) é uma doença multifatorial das lágrimas e da superfície ocular que resulta em desconforto, distúrbios visuais e instabilidade do filme lacrimal e afeta principalmente adultos com mais de 50 anos e mulheres. É uma doença que pode ter grande impacto negativo na qualidade de vida dos pacientes. A abordagem terapêutica com soro autólogo tem sido preconizada desde 1986 com prós e contras na literatura. Esta pesquisa teve como objetivo realizar uma revisão sistemática e metanálise para analisar a efetiva contribuição do
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Sun, Hong [Verfasser], and Martin [Akademischer Betreuer] Schumacher. "Clinical trials for personalized, marker-based treatment strategies." Freiburg : Universität, 2016. http://d-nb.info/1122647131/34.

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Sathirapongsasuti, Jarupon Fah. "Post-Genomic Approaches to Personalized Medicine: Applications in Exome Sequencing, Microbiome, and COPD." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:11574.

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Since the completion of the sequencing of the human genome at the turn of the century, genomics has revolutionized the study of biology and medicine by providing high-throughput and quantitative methods for measuring molecular activities. Microarray and next generation sequencing emerged as important inflection points where the rate of data generation skyrocketed. The high dimensionality nature and the rapid growth in the volume of data precipitated a unique computational challenge in massive data analysis and interpretation. Noise and signal structure in the data varies significantly across t
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Holland, Chad D. (Chad Darrel). "Personalized medicine, population genetics and privacy : an empirical study of international gene banks." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33089.

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Thesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology; and, (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2005.<br>Includes bibliographical references.<br>The promise of personalized medicine lies in its potential to fundamentally change healthcare. In the past, pharmaceuticals were prescribed on a "one size fits all" basis-patients with certain disease phenotypes were given what were thought to be appropriate drugs. There is growing evidence however that the effectiveness of these drugs may differ by individu
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Gonzalez, Paola. "Chronic Myeloid Leukemia: from Therapy Monitoring to Personalized Medicine. Assessment of Industrial Process." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3422302.

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Introduction: Chronic myeloid leukemia (CML) is a white blood cells cancer, which is characterized by a BCR-ABL fusion gene. The disease it is caused by a reciprocal translocation between chromosome 9 and 22, t(9; 22)(q34; 11) commonly known as the Philadelphia chromosome (Ph), resulting in an abnormally BCR-ABL tyrosine kinase, which is responsible for the pathogenesis of CML. The high efficacy of the tyrosine kinase inhibitors (TKIs) in the treatment of CML has caused the need for sensitive methods to monitor the course of therapy. Quantification of BCR-ABL transcripts with qRT-PCR Real-Time
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Santiago, Jessica de. "Extracting informative spatio-temporal features from fMRI dynamics : a model-based characterization of timescales." Doctoral thesis, Universitat Pompeu Fabra, 2021. http://hdl.handle.net/10803/671346.

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In neuropsychiatry, the development of brain imaging and dedicated data analysis for personalized medicine promises to predict both the evolution of diseases and responses of treatments. The ability to estimate the time course of the disease is the first step to understand the response to potential treatments, which implies the development of methods able to capture subject-specific features in addition to the discrimination between pathological conditions. However, methods that effectively characterize the neuronal activity at the whole-brain level are still lacking, and many efforts are curr
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Alderdice, Matthew. "Personalised medicine in rectal cancer : understanding and predicting response to neoadjuvant chemoradiotherapy." Thesis, Queen's University Belfast, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.725327.

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Around 12-15% of patients with locally advanced rectal cancer (LARC) undergo a pathologically complete response (Tumour Regression Grade 4 - TRG4) to neoadjuvant chemoradiotherapy; the remainder exhibit a spectrum of tumour regression (TRG1-3). Understanding therapy-related genomic alterations may help us better predict response, progression-free and overall survival, and also identify both novel and repurposed treatment strategies based on the underlying biology of the disease. The Northern Ireland Biobank provided 48 formalin fixed paraffin embedded (FFPE) rectal cancer biopsies and matched
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Luangwitchajaroen, Yuvared. "Preparation of nanosusponanoemulsion and nanosuspomicroemulsion : novel combination formulations suitable for personalised medicine." Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/preparation-of-nanosusponanoemulsion-and-nanosuspomicroemulsion(e2a714c8-bcdf-4609-a525-c991b380c779).html.

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A wide variety of formulations have been explored in attempt to improve the apparent aqueous solubility of poorly-water soluble drugs such as oil-in-water nanoemulsions (NE), oil-in-water microemulsions (ME) and drug nanoparticles (NPs). There would be advantage gained if two poorly-water soluble drugs could be combined in a single formulation, particularly with respect to the ability to personalise a patient’s medicine. In this study therefore, two novel combination formulations, which we have termed a “nanosusponanoemulsion (NSNE)” and a “nanosuspomicroemulsion (NSME)”, consisting of either
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Leuschner, Machel. "Assessing inter-method agreement of drug-based phenotyping metrics between dried blood spot and plasma sampling." Thesis, University of Pretoria, 2019. http://hdl.handle.net/2263/73046.

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Introduction: Pharmacokinetic variability in response to pharmacotherapy contribute to adverse drug reactions, drug-drug interaction and therapeutic failure seen in clinical practice. Poor therapeutic response to medication has been attributed to inter-individual and interethnic variability in cytochrome P450 (CYP450)-dependent metabolism and altered drug absorption via expressed transport channels such as P-glycoprotein (P-gp). An individualised approach in therapeutic management would be beneficial in a South-African population considering the country’s large genetic diversity. A single time
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Zvereva, Alexandra [Verfasser], and Katia [Akademischer Betreuer] Parodi. "Advanced modeling for personalized dosimetry in nuclear medicine applications / Alexandra Zvereva ; Betreuer: Katia Parodi." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2017. http://d-nb.info/1170061192/34.

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Pawlowski, Colin. "Machine learning for problems with missing and uncertain data with applications to personalized medicine." Thesis, Massachusetts Institute of Technology, 2019.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 205-215).<br>When we try to apply statistical learning in real-world applications, we frequently encounter data which include missing and uncertain values. This thesis explores the problem of learning from missing and uncertain da
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MUSETTI, CLAUDIO. "The struggle for personalized medicine: from genes to viruses in the modern transplant era." Doctoral thesis, Università del Piemonte Orientale, 2016. http://hdl.handle.net/11579/115182.

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Cheah, Boon Chong. "Metabolomic sensing system for personalised medicine using an integrated CMOS sensor array technology." Thesis, University of Glasgow, 2017. http://theses.gla.ac.uk/8115/.

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Precision healthcare, also known as personalised medicine, is based on our understanding of the fundamental building blocks of biological systems, with the ultimate aim to clinically identify the best therapeutic strategy for each individual. Genomics and sequencing technologies have brought this to the foreground by enabling an individual’s entire genome to be mapped for less than a thousand dollar in just one day. Recently, metabolomics, the quantitative measurement of small molecules, has emerged as a field to understand an individual’s molecular profile in terms of both genetics and enviro
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FAZZARI, MARIA. "NOVEL APPROACHES OF ¿PERSONALISED MEDICINE¿ AS PROOF-OF-PRINCIPLE FOR CDKL5-RELATED PATHOLOGIES." Doctoral thesis, Università degli Studi di Milano, 2018. http://hdl.handle.net/2434/548108.

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Alterations of CDKL5 give rise to several forms of neurological disorders generally characterised by epileptic encephalopathy, severe developmental delay, hypotonia and RTT-like features. To date no cure exists and only secondary symptoms can be treated. About 15% of CDKL5 patients carry a nonsense mutation and might benefit of a readthrough strategy as “personalised” medicine approach. The read-through process occurs when a near-cognate aminoacyl-tRNA binds a premature stop codon (PTC), allowing its suppression and the subsequent protein elongation. This mispairing event can rarely occ
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Benikhlef, Sarah. "Federated learning of Bayesian networks preserving privacy for personalised medical applications." Electronic Thesis or Diss., Nantes Université, 2025. http://www.theses.fr/2025NANU4001.

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L’apprentissage fédéré permet d’entraîner des modèles d’apprentissage automatique sur plusieurs ensembles de données décentralisés sans partager les données brutes, répondant ainsi aux préoccupations critiques en matière de confidentialité dans le domaine de la santé. Les réseaux bayésiens (RB) sont des modèles probabilistes qui ont prouvé leur valeur dans la modélisation de dépendances complexes. Ils ont la particularité d’être grandement interprétables, ce qui est crucial lors du traitement de données médicales, car cela permet aux experts médicaux de comprendre facilement les modèles constr
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Matsouaka, Roland Albert. "Contributions to Imputation Methods Based on Ranks and to Treatment Selection Methods in Personalized Medicine." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10078.

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The chapters of this thesis focus two different issues that arise in clinical trials and propose novel methods to address them. The first issue arises in the analysis of data with non-ignorable missing observations. The second issue concerns the development of methods that provide physicians better tools to understand and treat diseases efficiently by using each patient's characteristics and personal biomedical profile. Inherent to most clinical trials is the issue of missing data, specially those that arise when patients drop out the study without further measurements. Proper handling of miss
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Bragazzi, Nicola Luigi [Verfasser], and Norbert [Akademischer Betreuer] Hampp. "Nanogenomics and Nanoproteomics Enabling Personalized, Predictive and Preventive Medicine / Nicola Luigi Bragazzi. Betreuer: Norbert Hampp." Marburg : Philipps-Universität Marburg, 2014. http://d-nb.info/1051935334/34.

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Santos, Tânia Margarida Oliveira. "Nanoteranóstica e Medicina Personalizada." Master's thesis, 2018. http://hdl.handle.net/10316/84627.

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Relatório de Estágio do Mestrado Integrado em Ciências Farmacêuticas apresentado à Faculdade de Farmácia<br>“Right drug, right patient, right moment, right space, and right dose” is a key concept of the current personalized medicine.Due to the limitations of the standard diagnostic and therapeutic strategies, the term “personalized medicine” has recently emerged as a promising way to optimize treatment for each patient, considering the interindividual variability in the therapeutic response to achieve maximal efficacy along with a high safety profile.Theranostics, the integration of therapeuti
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