The paper “Artificial Intelligence-Driven Pharmaceutical Industry” by Huanbutta et al. stands out for its detailed exploration of AI’s transformative power across all aspects of pharmaceutical development. As the healthcare landscape rapidly evolves, this paper offers both a snapshot of the present and a vision for the future of pharmaceuticals.
The paper offers a comprehensive overview of the new paradigms emerging in the pharmaceutical sector as a result of AI's evolution and application throughout the industry’s life cycle. It begins with a clear and concise introduction explaining what AI is, making the concept accessible to readers with varying levels of familiarity.
The subsequent sections of the paper explore several key areas of AI's impact on the pharmaceutical industry, including:
- Drug discovery: a detailed overview of how AI accelerates the identification of drug candidates, optimizing both accuracy and efficiency in early-stage research.
- Formulation development: insights into how machine learning and predictive modeling streamline the creation of drug formulations, enhancing bioavailability and stability.
- Quality control: AI-driven tools for real-time inspection and defect detection, which significantly improve the safety, efficacy, and regulatory compliance of pharmaceutical products.
- Supply chain optimization: an exploration of how AI enhances supply chain visibility, demand forecasting, and inventory management to ensure timely and efficient delivery of medications.
- Personalized medicine and drug repurposing: how AI tailors treatments to individual patient needs and accelerates the identification of new uses for existing medications.
