AI in Rare Diseases: Shortening the Path to Diagnosis Using Local Health Data Warehouses and Phenotypic Similarity.
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Description
Learn about how algorithms can enhance the diagnosis of rare diseases. By leveraging local health data warehouses and phenotypic similarity analysis, our purpose is to accelerate the diagnostic process, reducing the time and effort required for accurate symptoms' identification. Philippe Fernandes (codoc) & Kaja Zarakowska (UCB) will discuss the integration of AI algorithms with existing healthcare data infrastructure with the aim of shortening the path to diagnosis.