5 Key Takeaways

• 1

  AI is reshaping pharmaceutical development by improving efficiency in manufacturing and drug candidate design.

• 2

  Generative AI can make mistakes and cannot replace essential scientific expertise and clinical judgment.

• 3

  AI tools have been used to create digital twins that accelerate the drying of active pharmaceutical ingredients.

• 4

  Machine learning helped Pfizer analyze antibody viscosity, speeding up design and avoiding lengthy testing cycles.

• 5

  Pharmaceutical companies will likely use a mix of in-house and external AI tools, requiring internal expertise for evaluation.