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Serge Merzliakov
Icahn School of Medicine at Mount Sinai
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Publicly indexed outputs suggest that Serge Merzliakov focuses on the intersection of bioinformatics and genomic networks, particularly within the context of oncology. His research investigates the complex interactions between genetic alterations, as evidenced by his work on epistasis between cancer driver mutations and allele-specific copy number variations. This study, which explores how different types of genomic variations influence one another, highlights a specific interest in the chromosomal abnormalities that drive tumor progression. His contributions in this area aim to refine the understanding of how individual genetic contexts shape the functional impact of known cancer drivers. Beyond genomic modeling, Merzliakov’s work extends into the development of computational frameworks for therapeutic discovery. He is a contributor to the design of a unified agent-enabled platform for drug repurposing that spans molecular, phenotypic, and clinical scales. This research suggests a focus on integrating multi-scale data to identify new uses for existing treatments through advanced computational methods. Collectively, his recent outputs reflect a research arc dedicated to leveraging large-scale genomic data and automated platforms to better understand disease mechanisms and accelerate the identification of effective lung cancer treatments and other clinical interventions.
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