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Unlocking the potential of omics with HPC and AI: Overcoming key challenges

Unlocking the potential of omics with HPC and AI: Overcoming key challenges

Pages 5 Pages

Omics fields like genomics, transcriptomics, proteomics, and metabolomics generate massive, complex datasets critical for understanding disease. HPC provides the power to process terabytes of data, while AI accelerates discoveries by predicting gene expression, protein structures, and metabolic pathways. Multiomics integration, combining diverse data layers, enables a holistic view of biology but demands robust computing and advanced analytics. Together, HPC and AI empower researchers to uncover biomarkers, personalize treatments, and advance precision medicine, driving progress in diagnosing and treating complex diseases.

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