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Data Mining for Genomics Insights

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Lay summary

Bladder and ovarian cancers are among the most challenging cancers to treat, particularly in advanced stages, where survival rates are poor, and treatment options are limited. This research aims to address these challenges by leveraging genomic data to uncover new ways to diagnose and treat these diseases. Using the extensive datasets provided by Genomics England, which include both genetic and clinical information, the project will explore genetic mutations and pathways that drive cancer progression, as well as the immune system’s role in tumour development. By identifying genetic changes and immune patterns specific to bladder and ovarian cancers, researchers hope to uncover novel therapeutic targets and strategies to improve patient outcomes.

The study will focus on key goals such as discovering new genetic mutations, understanding tumour diversity, and investigating why some cancers resist treatment. Advanced tools like machine learning and bioinformatics pipelines will be used to analyse these massive datasets and reveal patterns in gene activity, immune responses, and tumour evolution. This integrated approach will also incorporate RNA and protein data to provide a comprehensive view of cancer biology. Ultimately, the research aims to advance precision medicine, tailoring treatments to the unique genetic and molecular profile of each patient, offering new hope for those affected by these difficult-to-treat cancers.

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