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 23 for “"precision oncology"”.
-
Harnessing Cancer Omics to Inform Precision Oncology
… high-throughput technologies greatly facilities precision oncology in the era of big data. With the growing size of pan-cancer genomic, transcriptomic and proteomic profiling data, there is imperative need for integrative analysis of molecular and clinical information in an efficient way. Here, …
-
Towards Precision Oncology: A Predictive and Causal Lens
Precision oncology promises personalized care for each patient based on a holistic view of their data. However, several methodological and translational advances are required for successful implementation of this vision in the clinic. These include building temporal models to predict a patient’s …
-
Application of foundation models for molecular representation in cancer drug discovery and precision oncology
… We utilize the large-scale drug repurposing and oncology datasets from the PRISM project at the Broad Institute, which provide a wealth of drug repurposing and oncology data, enabling robust training of ML models. We show that these vector embeddings are superior to existing methods, as they …
-
Communicating Cancer: From Concepts to Care
… in contemporary cancer medicine centred around precision oncology, an approach which seeks to individualise cancer treatment using genomic biomarkers. Chapter 1 introduces precision oncology, proposing a definition that captures its novel and distinctive features, and explores its broader …
-
Investigating G-protein coupled receptors as novel biomarkers for diagnosis, prognosis, and targeted therapy in ovarian cancer
… contribute to the rapidly expanding field of precision oncology and may improve patient outcomes.
-
Pan-Cancer Analysis of Non-Coding Driver Mutations
… drivers. As drivers have broad applications in precision oncology, their discovery has become one of the central motivations for cancer genomics. At present, the majority of drivers have been found in the ~2% protein-coding regions. Despite an intensive search for non-coding cancer drivers, …
-
Knowledge-Informed Weakly-Supervised Deep Learning Models for Cancer Applications
… substantial improvements in generalizability and precision, showing strong potential to support personalized diagnosis, prognosis, treatment planning, and monitoring in precision oncology.
-
DEEP LEARNING ALGORITHM FOR MOLECULAR CLASSIFICATION OF ENDOMETRIAL CANCER FROM WHOLE SLIDE HISTOPATHOLOGY IMAGES
… 74%; F1 0.70). Overall, it achieved an average precision of 76% and recall of 88%. These results demonstrate the feasibility of DL-based prediction of EC molecular subtypes from routine histology, offering a scalable approach to support diagnostic workflows and expand access to precision …
-
Pan-Cancer Analysis of RNA Dysregulation, Somatic Mutations, and Matrix Stiffness using Bioinformatics Approaches
… to unravel cancer’s complexity and advance precision oncology.
-
Detection and monitoring of treatment resistance in metastatic cancer through non-invasive DNA methylation-based biomarkers
… (ctDNA) analysis, as a non-invasive approach for precision oncology, with applications ranging from early detection and minimal residual disease (MRD) assessment to dynamic monitoring of treatment response and molecular profiling in advanced disease. Low ctDNA plasma concentrations, relevant to …
-
Quantitative analyses to study tumor clones dynamics and tumor heterogeneity
… The work I present is relevant to the context of precision oncology that exploits detailed patient-specific molecular information to diagnose and follow cancer progression with the ultimate goal of promptly guiding treatment decisions to improve clinical outcome with transdisciplinary strategies. …
-
Unleashing the potential of liquid biopsy: allele-informed evaluation of plasma samples for cancer patients management
… Overall, this work is relevant to the context of precision oncology. It provides an innovative platform for the management of cancer patients, delivering detailed patient-specific molecular information which could be applied to guide treatment and improve clinical outcomes.
-
Novel multi-parametric, multi-modality imaging for the assessment of tumour biology in renal cell carcinoma
… of size-based criteria in targeted and immuno-oncology treatment is well-documented. Three clinical trials investigated morphological and physiological 1H-MRI to detect early response and predict outcome. Multiparametric MRI demonstrated physiological changes after 12 days of anti-vascular …
-
Engineering Lipid Nanoparticles for sIRNA Delivery to Silence Identified Targest in Cancer Cells
… emphasizing the potential for RNAi to transform precision oncology.</p>
-
Determining therapeutically actionable genetic interactions in human cancer at scale using multiplexed CRISPR screening
… is a compelling yet underutilised strategy in precision oncology, enabling the selective targeting of gene loss in cancer. This study employed a high-throughput multiplexed combinatorial CRISPR/Cas9 pooled screening approach to systematically identify SL interactions. A novel tRNA-based dual …
-
Exploring topological data analysis in gene expression data topology-driven biomarker discovery and clinical outcome prediction in oncology
… reliability and potential clinical utility in precision oncology.
-
DEVELOPMENT OF A NANOPARTICLE-BASED PLATFORM FOR THE DELIVERY OF THERANOSTIC AGENTS TO TUMOR TISSUE: TOWARD CLINICAL TRANSLATION
… to tumor tissue remains a major challenge in oncology, as many clinically effective drugs are limited by poor tumor specificity and dose-limiting systemic toxicity. Previous studies from the laboratory have explored the use of tumor-derived and patient-derived EVs as efficient, natural, and …
-
Defining Determinants of Primary Drug Resistance in Precision Cancer Therapies
… have been developed. However, in modern precision oncology and therapeutics, cancer drug resistance, both primary and secondary, has greatly limited the potential of targeted therapies to improve patients’ lives. Here, we systematically define combination treatment strategies by using …
-
Advancing Technologies for Precision Medicine: From Liquid Biopsy to Single-Molecule DNA Sequencing
Precision oncology depends on technologies capable of identifying tumor-associated mutations and monitoring how they evolve during therapy using minimally invasive samples. This dissertation integrates blood-based liquid biopsy assays with an emerging single-molecule nanopore sequencing platform to …
-
OPTIMIZED APPROACHES FOR LIQUID BIOPSY IN GLIOBLASTOMA PATIENTS
… and biology, thereby laying the groundwork for precision monitoring and therapy. Methods We enrolled 66 GBM patients, 83 healthy controls and 50 patients with other CNS lesions for the EV arm; 20 tumour patients and 4 healthy volunteers for the 5-ALA arm; and 4 GBM patients across two FUS …
Page 1 of 2