Tevogen.AI (TVGN), in collaboration with Microsoft (MSFT) and Databricks, has built the alpha version of its foundational PredicTcell model. PredicTcell is powered by a robust and scalable data engineering pipeline. Utilizing machine learning and transformer architectures trained on a terabyte-scale dataset encompassing nearly a billion genetic and proteomic elements, the model enhances target discovery. Through parallel processing and distributed computing, Tevogen.AI dramatically reduces protein sequence analysis and peptide identification from months to hours.
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