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.
Results
Showing 1 to 20 of 51 for “"personalized treatment"”.
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Development and Applications of Neuromusculoskeletal Modeling Software for Personalized Treatment Design
… unemployment, health care). Therefore, improving treatment for walking impairment conditions is a high rehabilitation priority and an important public health problem. Clinicians and researchers have explored various neurorehabilitation treatments in search of effective approaches for maximizing …
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MRI-guidance during transarterial radioembolization with holmium-166 microspheres: towards a personalized treatment approach
Contains fulltext : 281495.pdf (Publisher’s version ) (Open Access)
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Personalized Treatment Response Prediction under Dynamic and Time-Varying Treatment Strategies for Sepsis Patients
… can be caused by both excessive and insufficient treatment. There have been many clinical trials done in the past to investigate the optimal regime for treating sepsis, however these studies have resulted in inconclusive results and often take a long time to conduct. Thus, personalized treatment …
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Machine Learning Methods for Personalized Treatment Response Characterization Using Clinical Care Brain MRI and Non-Imaging Data in Multiple Sclerosis
… disease. The inability to optimally personalize treatment is core. Deep learning methods serve as ideal candidates to handle person-specific disease outcomes. This thesis aimed to investigate deep learning models for predicting treatment response in RRMS individuals 2 years after starting or …
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IDENTIFYING AND EXPLOITING SYNTHETIC LETHALITY FOR CANCER THERAPEUTICS
… a promising approach for the development of personalized treatments. However, SL interactions in humans remain largely unknown and there is a need to discover more such pairs, especially those that are clinically actionable, and to develop tools that can enable us to gain deeper insights into …
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How can AI-powered business intelligence systems help veterinary practices implement personalized preventive care strategies while improving client satisfaction and revenue streams?
… predictive analytics, diagnostic support, and personalized treatment plans, its adoption in veterinary medicine is still developing—especially in smaller markets such as Iceland. By reviewing recent academic literature and conducting interviews with veterinary professionals in Iceland, this …
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Combination of CT-based Radiomics Features and Clinical Data for Predicting Tumor Genetic Profile in patients with Intrahepatic Cholangiocarcinoma
… in iCCA, with potential implications for personalized treatment strategies.
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An implantable device for localized drug delivery and sensing
… of diseases and provide a tool for developing personalized treatment programs. The polymer microchip platform has been combined with magnetic relaxation switch (MRSw) nanoparticle sensors to create an in vivo sensing device. MRSw are magnetic nanoparticles (iron oxide core, crosslinked dextran …
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Predicting Patient Outcomes in the EPOCH Clinical Trial
… can identify patient subgroups and predict treatment response for personalized medicine. First, a comprehensive data preprocessing pipeline curated a high-quality dataset of liver-region Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) scans paired with patient biomarkers. …
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Validation of the motivational inventory underlying substance use engagement (MI-USE)
… forms of substance use, which facilitates personalized treatment planning and research on polysubstance use.
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Optimizing Glucose Meter Downloads at Parkland Diabetes Clinic
… share this data with their provider to create personalized treatment plans. Currently, only about 50% of patients at this clinic bring their meter to their appointments. Thus, the provider struggles to provide personalized, effective care due to lack of blood sugar history. METHODS: This …
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A data-driven approach to evaluating the effectiveness and adverse outcomes of antidepressant exposure using longitudinal real-world EHR data
… dissertation explores the complex dynamics of treatment outcomes and body weight changes in patients undergoing antidepressant therapy, employing advanced machine learning techniques to model and predict clinically significant events. Depression remains one of the most pervasive and challenging …
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Engineering cell-based micropharmacies for in vivo protein replacement therapy
The treatment of many chronic and genetic disorders depends on the consistent delivery of therapeutic proteins to correct underlying deficiencies or modulate disease progression. However, conventional methods, such as enzyme replacement therapy (ERT) and cancer immunotherapies, often require …
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Patient-derived and xenograft-derived organoids for characterization, drugs testing and biobanking of pediatric brain tumors
… and heterogeneity of these tumors and to test personalized treatment strategies remains a clinical challenge. We are trying to answer to this medical need with Patient-Derived Organoids (PDOs) and Patient- Derived Xenograft Organoids (PDXOs) established through the direct in vitro culture of …
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Autocrine prolactin signaling in breast cancer cells leads to metabolic changes and therapeutic opportunities for anti-tumour and anti-bone metastatic treatment
… the pipeline of therapies available for the personalized treatment of breast cancer patients.
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Leveraging knowledge networks for precision medicine
… complement biological data and pave the way for personalized treatment strategies. Therefore, efficiently and effectively integrating and mining these invaluable data hold the great promising of making precision medicine a reality. However, integrating and mining these large-scale, heterogeneous, …
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Towards Fully Automated Volumetric Analysis of Lung Nodules in Computed Tomography
… their progression and informing future treatment decisions. However, calculating nodule growth in computed tomography (CT) scans remains a highly manual and time-consuming task. In this work, we develop an automated end-to-end pipeline to compute lung nodule growth using state-of-the-art …
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Statistical Learning Methods for Challenges arised from Self-Reported Data
… provide a foundation for further exploration of personalized treatment strategies and an improved understanding of chronic pain mechanisms.
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Machine Learning Methods for Decision Making Inference in Healthcare
… In Chapter 3, I will investigate two treatment-related decision-making problems using electronic healthcare records (EHRs) databases. In Chapter 3 section 1, I will introduce a unified propensity score method for causal inference analysis using EHRs. In Chapter 3 section 2, I will …
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Epigenetic and expression-based modifications of depression-relevant genes as peripheral biomarkers for treatment-resistant depression and major depressive disorder
Mechanisms contributing to treatment resistant depression (TRD) and major depressive disorder (MDD) are poorly understood. Identifying peripheral biomarkers in an easily accessible tissue, such as whole blood, will enhance the mechanistic understanding of these disorders and could potentially …
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