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1.
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The work presented in this dissertation focuses on the development of robust deep learning models to predict in-vitro cancer drug responses, with utility in precision onc [...]
2024-09-19 |
Dissertation |
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2.
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This novel computational framework for the analysis of single-cell gene expression data from human tumor samples enables the identification of molecular activity associat [...]
2024-09-18 |
Dissertation |
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3.
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The significant inter- and intra-tumor heterogeneity observed in breast cancer patients presents an ongoing challenge that impedes accurate disease characterization and c [...]
2024 |
Abstract |
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4.
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The gut microbiome is involved in promoting or inhibiting (protecting against or contributing to the development of) many diseases, such as diabetes, inflammatory bowel d [...]
2023-07-21 |
Abstract |
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5.
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Recently, longitudinal changes in human gut microbiome composition have been proposed to be more robust markers of host health than cross-sectional variation. However, it [...]
2024 |
Abstract |
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6.
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Immune checkpoint inhibitors have shown success in treating a subset of patients with certain late-stage cancers. However, these treatments fail in many other patients, d [...]
2023-08-18 |
Abstract |
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7.
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Despite their devastating impacts on millions of people, most rare and congenital disorders remain poorly understood, leaving the patients with these disorders with no FD [...]
2023-07-20 |
Abstract |
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8.
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Acute Myeloid Leukemia (AML) is an aggressive cancer with poor overall survival due to frequent relapse. FMS-like tyrosine kinase (FLT3) is the most commonly mutated gene [...]
2022 |
Abstract |
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9.
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Next generation sequencing (NGS) and single-cell sequencing technologies have enabled unparalleled resolution of the cell's molecular machinery; however, gleaning accurat [...]
2021 |
Abstract |
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10.
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A major challenge in precision oncology is accurately modeling the molecular machinery that governs cellular sensitivity or resistance to a given drug or drug combination [...]
2020 |
Abstract |
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