The application of artificial intelligence (AI) and machine learning (ML) in the biopharmaceutical industry has been gaining momentum, particularly in drug discovery and clinical development efforts. However, their potential to impact other aspects of drug development and manufacturing is vast, including formulation development. Traditional formulation development involves extensive and costly physical experimentation and screening, but AI/ML algorithms can identify optimal formulations with high likelihood of success, reducing time and resources needed for physical evaluation. AI/ML can also uncover new materials with attractive excipient properties and new formulation approaches not previously considered. The use of AI-based prediction tools, such as FormulationAI, can aid in formulation design, and experts believe that AI/ML can help overcome challenges in formulation development, including poor solubility and bioavailability. With the ability to predict properties such as solubility, dissolution rate, and stability, AI/ML can streamline and accelerate formulation development, ultimately improving safety, efficacy, and patient outcomes.

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