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 6 of 6 for “"Drug Synergy"”.
-
Design and Evaluation of Network Algorithms and Deep Learning Models in Systems Biology and Biomedicine
… systematically evaluate deep learning models for drug synergy prediction, an important challenge in combination therapy design. Using the SynVerse framework, we assess 16 models across diverse feature types and deep learning based architectures and demonstrate that models often exploit …
-
Integrating natural language with molecular structure
… to many of these problems: breakthrough drugs (e.g., kinase inhibitors), materials (e.g., organic photovoltaics), and chemical processes. The extremely large search spaces in which these solutions exist make AI tools critical for finding them. Of particular note, multimodal models …
-
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 …
-
Metal complexes with biological activity
… Cisplatin is one of the most chemotherapeutic drug. In spite of its great efficacy, it shows several side effects and most patients develop a resistance to cisplatin. To overcome the cisplatin resistance, drugs are often administered in combination in order to exploit the drug synergy. After …
-
Metformin as a potential therapy for malignant astrocytoma
… Metformin is from the biguanide family of drugs and is the most common medication used in the treatment of type 2 diabetes. Clinical studies have reported that, in type 2 diabetic patients, metformin might reduce cancer incidence and severity. Currently, metformin is being assessed in …
-
Functional Drivers of Therapeutic Response in Diffuse Large B Cell Lymphoma
… Using this information, we can develop relevant drug screening tools that leverage genomic technologies to better understand therapeutic interactions with the disease and use it to predict possible therapeutic synergy. In this dissertation, I utilize this three-pronged approach to identify novel …