Datasheet | February 22, 2021

Increase The Probability Of Regulatory And Technical Success

Source: Medidata AI

Today’s clinical trials are becoming increasingly complex — with rising costs, a faster evolving treatment landscape and a growing risk of trial failure. To mitigate this uncertain landscape and make better data-driven decisions, clinical development groups have turned towards real world data (RWD) to augment and inform their understanding of the disease and treatment landscape.

The clinical development process for medical therapies has multiple aims, including

  • To produce the strongest possible scientific case for the efficacy & safety of the new treatment relative to a placebo or the standard-of-care to support approval by regulatory agencies
  • To make the strongest case to physicians, patients and payors for the value of the new treatment relative to the current standard of care

However, the challenge of finding and matching the right data to a development program means many decisions must be made without the strong supporting evidence that a clinical developer would desire.

Integrated Evidence from Acorn AI provides access to a one of a kind cross-sponsor, regulatory grade, patient-level clinical trial dataset with pre-integrated real world assets to help clinical developers make critical data-driven decisions throughout the product development lifecycle and increase their probability of success.


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