STAT’s Matthew Herper struck an industry nerve when he wrote that the drug development industry is “not prepared for the next wave of biotech innovation.”
His report ends on a somewhat dismal note: the industry is long on diagnosis (clinical development is too expensive) and short on cures.
For an industry based on science and evidence, a good way to understand a complex situation like this is to test different scenarios in a simple model. Building on prior work by others in the field, we created such a model to help inform the much-needed debate that Herper’s article kickstarted.
This article is exclusive to STAT+ subscribers
Unlock this article — plus in-depth analysis, newsletters, premium events, and networking platform access.
Already have an account? Log in
Already have an account? Log in
To submit a correction request, please visit our Contact Us page.
STAT encourages you to share your voice. We welcome your commentary, criticism, and expertise on our subscriber-only platform, STAT+ Connect