Epeleuton is under clinical development by Afimmune Biopharma and currently in Phase II for Sickle Cell Disease. According to GlobalData, Phase II drugs for Sickle Cell Disease have a 59% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Epeleuton’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.

Epeleuton overview

Epeleuton (AF-102) is under development for the treatment of rare blood disorders and sickle cell disease. It is a bioactive lipid administered orally as a capsule.

It was under development for idiopathic pulmonary fibrosis, type-2 diabetes, hypertriglyceridemia, non alcoholic fatty liver disease (NAFLD), idiopathic pulmonary fibrosis, alcoholic hepatitis, non-alcoholic steatohepatitis (NASH), cardiovascular risk reduction, chronic obstructive pulmonary disease (COPD), Coronavirus disease 2019 (COVID-19) and atherosclerosis.

Afimmune Biopharma overview

AFIMMUNE Biopharma is a developer of drugs designed to work on inflammatory conditions of the primary organs including the heart and the liver. The company is headquartered in Dublin City, Dublin, Ireland.

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

This content was updated on 16 July 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.