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Learn how algorithmic tools and artificial intelligence can optimize genomic data analysis to improve patient outcomes in this one-hour webinar presented by Professor Sarah Ennis from the University of Southampton. Explore the challenges of working with vast and increasingly sparse genomic data as patient sequencing expands, and discover innovative solutions to address these limitations. Examine the development and application of GenePy, an algorithmic tool designed to reduce genomic data sparsity by providing gene-level pathogenic scores for all individuals across all genes. Gain insights into methods for novel disease gene detection, genomic diagnostics, prognostics, and prediction through the lens of computational genomics. Understand how advanced data modeling techniques can enhance the clinical utility of genomic information and contribute to more effective personalized medicine approaches. Benefit from the expertise of a leading genomics researcher with extensive experience in genomic informatics and over 200 published research papers in the field.
