Healthcare & Pharma

We build solutions to make pharmaceuticals safer and more effective through machine learning based approaches for detecting prescription fraud, personalizing healthcare provider outreach, and researching the next wave of therapeutics.

5 Ways Machine Learning is Changing Pharmaceuticals

Learn how machine learning is changing pharmaceuticals through accelerating drug discovery, enabling precision medicine, improving drug safety, and reducing costs.

Our Expertise

We bring extensive cross-industry expertise to design, build, and deploy custom machine learning solutions.

Artificial Intelligence

Optimize cross-platform campaigns by leveraging artificial intelligence to adapt and respond to providers. Determine which are your most valuable providers and how to best engage them.

Data Science & Analytics

Improve the provider experience and gain insight into your users by analyzing HCP behaviors and implementing bespoke segmentation to personalize outreach efforts and understand their stages within the lifecycle.

Machine Learning

Leverage state of the art deep learning to detect prescription fraud, personalize HCP outreach, and research the next wave of therapeutics.

“Strong Analytics helped Stash improve our marketing measurement and optimization with LifeTime Value (LTV) and Media Mix Modeling (MMM). They embedded with our team as an extension of our Data Engineering and Data Science practices and were extremely attentive, responsive, and thoughtful. In the course of just a few months, we supercharged our marketing measurement by implementing both models, and since then, we’ve substantially increased our return on ad spend.”
Tyler Pennell
SVP Growth,
“Partnering with Strong Analytics has taken ReUp further faster against our product vision than we could have anticipated. They are like rocket fuel for innovation, and our collaboration continues to deliver high-value data science initiatives thanks to their expertise and commitment to results.”
Zack Avshalomov
Head of Product, ReUp Education

Reinforcement Learning for Personalized Medication Dosing

We used Strong RL and two new simulation environments to train and validate RL approaches to dosing problems.