Addressing Reproducibility in Pharmaceutical Research through Machine Learning
A transformative approach to solve one of the most pressing challenges in pre-clinical pharmacology.
The Challenge:
Poor Reproducibility in Pre-Clinical Studies
INDUSTRY CRISIS
Up to 70% of researchers have failed to reproduce another scientist’s experiments, costing the pharmaceutical industry billions annually
HIDDEN VARIABLES
Critical environmental factors affecting study outcomes remain unmonitored and unaccounted for in standard protocols
FINANCIAL IMPACT
Failed clinical trials due to irreproducible pre-clinical data cost pharmaceutical companies an estimated $28B per year
Our Solution:
Environmental Intelligence
We’re developing a sophisticated ML model that captures and analyzes previously overlooked study environmental variables.
For more information: info@melioriq.com