E-2025 is under clinical development by Eisai and currently in Phase I for Alzheimer’s Disease. According to GlobalData, Phase I drugs for Alzheimer’s Disease have a 63% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how E-2025’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.

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GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, company and its clinical trials play a fundamental role in drug-specific PTSR and likelihood of approval.

E-2025 overview

Biologic is under development for the treatment of Alzheimer's disease. The therapeutic candidate acts by targeting EphA4. It is administered by intravenous route.

Eisai overview

Eisai is a pharmaceutical company that discovers, develops, manufactures and markets pharmaceuticals, including prescription medicines, OTC drugs and generics. The company’s franchise areas in research include neurology and oncology. Eisai’s major products include Pariet/AcipHex, a proton pump inhibitor; Aricept, an anti-Alzheimer agent; perampanel, Halaven, an anti-cancer agent; Fycompa tablets for the treatment of epilepsy and peripheral neuropathy. Eisai has production plants in Japan, the UK, China and India and laboratories in Japan, the US and the UK; operations in the Americas, Asia and Latin America, EMEA and Oceania with overseas sales offices in the US, Germany, France, China and South Korea. Eisai is headquartered in Tokyo, Japan.

For a complete picture of E-2025’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 20 February 2024

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData’s Likelihood of Approval analytics tool dynamically assesses and predicts how likely a drug will move to the next stage in clinical development (PTSR), as well as how likely the drug will be approved (LoA). This is based on a combination of machine learning and a proprietary algorithm to process data points from various databases found on GlobalData’s Pharmaceutical Intelligence Center.