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Tevogen Bio partnered with Microsoft and Databricks to accelerate drug discovery using AI and large-scale data engineering.
•Drug development traditionally costs over $3 billion and takes 10-12 years; Tevogen's ExacTcell platform targets viral, oncological, and neurological diseases for a single HLA restriction
•A multi-terabyte protein sequence dataset was built using Databricks Medallion Architecture (bronze/silver/gold layers) with Unity Catalog for governance
•Distributed computing reduced processing time from 50 days to 24 hours, producing 16 billion datapoints and ~700 million unique peptides from 24 million proteins
•The alpha PredicTcell model was trained using XGBoost and ESM methods, achieving 93-97% recall and 38-43% accuracy
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RAG integration via Agent Bricks and an MLOps framework enable continuous model training, inference, and monitoring
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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