The data revolution has transformed research and development. Machine learning (ML) has become an invaluable tool, sifting through mountains of information to unearth valuable insights. However, traditional ML can hit a wall: limited data quality and the challenge of integrating human expertise often slow progress. The key to resolving this lies in integrating domain knowledge into models with generative ability.