AI applications in the pharma

Some ideas for AI in the pharma space:

Drug Discovery:

Modern computing can crunch through vast amounts of data. Using GAN’s or VAE’s, AI can produce new molecular structures with specific characteristics. This can help narrow down where to focus R&D efforts.

In particular for pharma sales and marketing:

Sales Optimization:

Customer Segmentation — data can be fed into deep learning models to cluster in segments

Sales Territory Mapping — once segments and targets have have been defined, AI algorithms can also cluster targets geographically into sales territories

Predicative Analytics — the simple model is to use AI to predict sales trends based on past behavior. The limitation with this approach is that models replicate past behavior and cannot predict based on unmodeled events such as new approvals or black swan events like COVID.