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 61 for “"drug combinations"”.
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Drug Combinations in Palliative Care: A Compatibility Study
End of life care often involves the use of combinations of more than one drug in a syringe for administration by a continuous subcutaneous infusion using a syringe driver or pump. This is considered to be an effective method of symptom management and can provide a good control of symptoms. The …
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Cell physiology based pharmacodynamic modeling of antimicrobial drug combinations
… to study the relationship between antibiotic drug exposure and the antibacterial effect. Since these models typically lack a representation of cellular processes and cell physiology, the mechanistic integration of drug action is not possible on the cellular level. The cellular mechanisms of …
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Rational drug combinations to selectively target 9p21-deleted bladder cancer
… tumors. Here, we performed a multi-parametric drug screening using 9p21 isogenic BLCA cells to uncover drugs with a 9p21-selective activity on cell morphology and viability. Two drugs resulted significantly more effective in cells with 9p21 loss, cytarabine and methotrexate, however with …
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Rational drug combinations design against intratumoral heterogeneity and clonal evolution
… select pre-existing resistant subclones toward drug resistance. Mathematical/computational modeling from population genetics, evolutionary dynamics, and engineering are being utilized to a greater extent in recent times to study tumor progression, intratumoral heterogeneity, drug resistance, and …
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Developing novel drug combinations for treatment of invasive fungal infections
… strategy to screen ~3400 FDA-approved drugs and clinical compounds to identify hits that can enhance/restore the antifungal activity of azoles and amphotericin B against resistant C. auris. The HIV protease inhibitors (lopinavir and ritonavir) were identified as potent enhancers to the …
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Gene Expression–Based Algorithms For The Identification of Drug Combinations In Personalized Medicine
… major problems facing cancer therapeutics are 1) drug resistance, the intrinsic or acquired ability of cancer cells to evade the effect of the therapies used to treat them; 2) heterogeneity among individual patients’ disease at the molecular level and the resulting variability in therapeutic …
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Comparative Effectiveness of Methotrexate-Based Disease-Modifying Antirheumatic Drug Combinations for Rheumatoid Arthritis
… synthetic (cs) disease-modifying antirheumatic drug (DMARD), tumor necrosis factor inhibitor (TNFi) biological (b) DMARD, non-TNFi bDMARD, or targeted synthetic (ts) DMARD for patients with rheumatoid arthritis (RA) initiating methotrexate (MTX); [2] to compare the effectiveness of MTX-based …
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An investigation of the cellular effects of novel agents and multi-drug combinations in cystic fibrosis
… to reduce overall treatment burden and assess drug combination efficacy in ETI-treated patients. Potential rationalisation of regimens should be explored through clinical trials and if successful could reduce drug burden and improve medication adherence.<br/>
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Optimization of 1st-line antituberculosis dosing regimens using a population pharmacokinetic approach: food effects, drug combinations and pharmacological effects
… pharmacokinetic approach, quantify food effects, drug combinations and pharmacological effects. The population pharmacokinetics of rifampicin, isoniazid and pyrazinamide in 76 children with tuberculosis were described using a population pharmacokinetic approach, and then Monte Carlo simulation …
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Developing methods to prioritize in vitro drug combinations against Mycobacterium tuberculosis: fusidic acid as potential combination partner with known antitubercular agents
… is exacerbated by the escalating number of multi-drug resistant cases. These factors have highlighted the urgent need for new effective therapies or different approaches to augment the efficacy of current anti-TB drugs. Synergistic drug combinations present a feasible strategy towards expanding TB …
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IDENTIFICATION OF AN EFFECTIVE RIBONUCLEOSIDE ANALOGUE AND IMMUNOMODULATORY IMIDE DRUG COMBINATION FOR MULTIPLE MYELOMA
… eventually relapse. To identify effective novel drug combinations against MM, we applied our quadratic phenotypic optimisation platform (QPOP), a phenotypic-analytical hybrid multidrug interrogation platform which harnesses small experimental drug response datasets to accurately predict the …
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Accurate estimation of drug combination synergies with uncertainty quantification
… frameworks to estimate the synergistic effect of drug combinations. However, the varying assumptions and the absence of a universal gold standard across these frameworks make it difficult to quantitatively prioritise which drug combinations from large screening experiments should advance for …
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Studies on the synergic activity of a three-drug cocktail active against cisplatin-resistant human leukemia and carcinoma cells
… at (1) extending the studies of CDDP-Cu(II)-phen combinations as such, as well as with the addition of a third drug component; (2) determining the potential degree of selectivity of the most synergic drug combinations. Methods. Most studies were focused on the most potent Cu(II)Phen compound (C0), …
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Investigating intratumoural heterogeneity and plasticity with multiplexed single-cell assays
… RNA-sequencing (scRNA-seq) of patient tumours. Drug combinations are a promising strategy to overcome treatment resistance but little is known about how CRC cells invoke cellular plasticity by shifting their cell states following treatment with KRAS inhibitors and drug combinations. To address …
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Inferring effective cancer combination therapies using network-based multi-omics data integration
… resistance to monotherapy-based interventions. Drug combination therapies hold the promise of higher efficacy by simultaneously targeting compensatory mechanisms in tumours and reducing toxicity through the use of lower drug doses. However, identifying effective combination therapies and the …
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Graph Representation Learning for Drug Discovery
Drug discovery is an expensive and labor-intensive process, typically taking an average of 10–15 years. The goal of this thesis is to substantially accelerate this process by developing machine learning (ML) algorithms for three key steps in drug discovery pipeline. First, we develop better …
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PKPD-Model Based Preclinical Characterization of the Activity of Spectinamide 1599 Against Mycobacterial Subpopulations. and the Identification of Potential Partners for Combination Therapy
… that has demonstrated excellent preclinical drug like properties such as excellent in vivo efficacy, strong efficacy against clinical MDR isolates, lack of cross resistance, long post antibiotic effect, and low toxicity potential. It also has a favorable pharmacokinetic profile and is …
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Formulation Devlopment Of Mesoporous Silica Nanoparticles As An Injectable Delivery System
… on Mesoporous Silica Nanoparticles (MSN) for drug/drug combination therapies. The objective of my dissertation was to optimize surface functionality, particle shape and methods of colloidal stabilization of mesoporous silica by PEG for delivery of drug/drug combinations. This was achieved by …
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Separability of Effects in the Analysis of Complex Observational Data
… at least one sedative, the risk without any drugs was not observable. Logistic regression was used initially, using propensity scores to address the non-ignorable treatment assignments. Propofol was found to be no more or less risky than other drugs used for the same purpose. This analysis …
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