Furthermore there is much heterogeneity among the individual outcomes and only a subset of patients responds to treatment. On average only about 50% of patients respond to prescribed drugs. In addition research and development costs are soaring and there are increasing risks in getting a new compound to market. Research and development expenses increased from US $2 billion in 1980 to US $26 billion in 2000.
Pharmaceutical companies need to be able to identify which patients will respond better to treatments and by tailoring therapeutics, the right drug can be delivered to the right patient with the right dose at the right time, drastically improving individual patient outcomes. Improvements in this domain would have important implications on drug development and could provide significant benefits for patients
To achieve the above, a drug development teams must endeavor to find the most relevant factors that define the largest sub-group(s) of patients that have a clinically meaningful benefit-risk profile for any given treatment regimen. ExperiMind’s technology provides a solution to finding the best “sub-population with enhanced treatment effect”.
