Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 151 for “"personalized medicine"”.
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SIGN HERE : informed consent in personalized medicine
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 …
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Towards Personalized Medicine Using Systems Biology And Machine Learning
<p>The rate of acquiring biological data has greatly surpassed our ability to interpret it. At the same time, we have started to understand that evolution of many diseases such as cancer, are the results of the interplay between the disease itself and the immune system of the host. It is now well …
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Personalized Medicine: Studies of Pharmacogenomics in Yeast and Cancer
… and sequencing technology enable the era of personalized medicine. With increasing availability of genomic assays, clinicians have started to utilize genetics and gene expression of patients to guide clinical care. Signatures of gene expression and genetic variation in genes have been …
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Novel Machine Learning Algorithms for Personalized Medicine and Insurance
… providing more effective, patient-centered, and personalized care. As an increasing amount of data is being collected, computational performance is improved, and new algorithms are developed, machine learning has been viewed as the key analytical tool that will advance healthcare delivery. …
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Contributions to statistical learning and its applications in personalized medicine
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 …
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Micro-nano scale diagnostics and therapeutic platforms for personalized medicine
Limited Restriction Lifted for Item 113065 on 2021-11-27T10:15:20Z.
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New algorithms in machine learning with applications in personalized medicine
… is shown in Chapter 4 by our approach to personalized diabetes management, which identifies response patterns using machine learning and individualizes treatments via optimization. These newly developed machine learning algorithms not only demonstrate improved performance in large-scale …
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Personalized medicine in rheumatoid arthritis: Pharmacogenetics of anti-TNF and beyond.
Contains fulltext : 129676.pdf (Publisher’s version ) (Open Access)
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Where Electronics meets Biotechnology: Impedance-based devices for personalized medicine applications
L'abstract è presente nell'allegato / the abstract is in the attachment
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A Microfluidic Tissue Array (µFTA) For Personalized Medicine using Tumor Biopsies
… can screen for the most effective drug(s) on a personalized basis.</p> <p>The last two decades has seen more breakthroughs towards personalized medicine, from therapy (especially immunotherapy) to establishing more realistic models <em>ex vivo </em>of the patient by generating patient-derived …
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Encoded hydrogel microparticles for high-throughput molecular diagnostics and personalized medicine
… 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 conventional microarrays and methods based on polymerase chain reaction …
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Preparing for Personalized Medicine: Improving Genetic Screening Resources for Primary Care Providers
Due to the expansion of genetics testing and the current strain on the genetics services workforce, Primary Care Providers (PCPs) will have to play a growing role in the management of of patients with genetics needs. However, PCPs do not have the knowledge or support to take on this role. This …
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Privacy and identifiability in clinical research, personalized medicine, and public health surveillance
… and hereditary data. To enable an era of personalized medicine, many research studies are attempting to correlate individual clinical outcomes with genomic data, leading to thousands of new investigations. Critical to the success of many of these studies is research participation by …
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Gene Expression–Based Algorithms For The Identification of Drug Combinations In Personalized Medicine
… apparent that effective treatment will require a personalized-medicine approach, or treating patients according to the individual molecular characteristics of their respective diseases, adding another layer of complexity to the problem. Advances in computing technology have made this a challenge …
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Personalized medicine, population genetics and privacy : an empirical study of international gene banks
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 …
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Gap Between Practices of Evidence-based Medicine and Personalized Medicine: A Barrier in Learning
Background: Evidence Based Medicine (EBM) is the use of high-quality clinical research in making decisions about the care of patients. Health professionals have used EBM to guide clinical decision-making for the last three decades. However, critics have suggested that EBM focuses on groups of …
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Co-opting disease pathology for personalized medicine; utilizing endogenous biomaterials to generate theranostic nanoparticles
Various biomolecules and cell types have been demonstrated to have the capacity to form plasmonic gold nanoparticles when chloroauric acid (HAuCl4) is introduced.We have demonstrated the capacity and utility of nanoparticles generated from endogenous biomolecules through three examples which can …
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Machine learning for problems with missing and uncertain data with applications to personalized medicine
… uncertain data with a focus on applications in personalized medicine. In the first chapter, we present a framework for classification when data is uncertain that is based upon robust optimization. We show that adding robustness in both the features and labels results in tractable optimization …
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