whom the treatment effect is significantly greater than within the rest of the population.
ExperiMind Technologies has developed a set of unique and successfully tested data mining
and machine learning algorithms that go far beyond “conventional” biostatistics to discover
hidden relationships within clinical data. This new insight means ExperiMind Technologies
can identify the ideal sub-population(s) for a novel therapy early in its development program
and thereby improve the success of clinical trials.
The Need for ExperiMind Technologies
Many clinical trials end without achieving statistical significance for the pre-defined end-points, mainly due to one or more of the following reasons:
- Sample Size too Small
- Poor Efficiacy
- Protocol Violation
- Inclusive / Exclusive Criteria