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The Medical Intelligence and Patient Insights (MIPI) Team collaborates with Research and Development colleagues to provide a deep understanding of the exam-room dynamic, replicating what is happening between a healthcare provider and patient. This context allows us to uncover unmet patient needs and directly weave the patient perspective into drug development for specific disease areas.
MIPI partners with Astellas colleagues working in molecule discovery through to early development to analyze potential opportunities in their targeted disease areas, placing particular emphasis on the patient and healthcare provider perspective. The team strives to strike a balance between “can we” build an asset, based on the science and developability, and “should we”, based on the potential unmet need and medical value opportunity within the indication. Our structured approach gives Astellas researchers a better understanding of the real-world potential of their projects and enables them to incorporate the patient voice into drug development from the very start.
Each MIPI analysis is built using a consistent methodology that comprises:
The MIPI team’s recommendations on how to make the project a success can be used to:
The challenge: Data on mitochondrial encephalopathy, lactic acidosis, and stroke-like episodes (MELAS), a relatively new health condition that can place significant burden on patients, is scarce.
The project: The MIPI team conducted wide-ranging analyses, including reviews of the clinical trial landscape and regulatory pathways, epidemiology data, and current standard of care, as well as interviews with people living with MELAS and the physicians treating them. They found tremendous unmet medical need among both the acute and chronic care segments of the patient population, and that MELAS prevalence was twice as high as previously reported.
The outcome: The MIPI research identified new approaches for further development of an investigational compound for potential treatment of MELAS. It also revealed potential pathways to optimize discovery and development, including recommendations for targeted clinical trial endpoints and symptom measurement to track patients’ progression.