EBBH-2024 is under clinical development by Essen Biotech and currently in Phase II for Refractory Chronic Lymphocytic Leukemia (CLL). According to GlobalData, Phase II drugs for Refractory Chronic Lymphocytic Leukemia (CLL) have a 27% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how EBBH-2024’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.

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.

EBBH-2024 overview

EBBH-2024 is under development for the treatment of central nervous system lymphoma, B cell lymphoma (BCL), B-acute lymphocytic leukemia (B-ALL), refractory non-Hodgkin lymphoma, refractory chronic lymphocytic leukemia (CLL), refractory B acute lymphoblastic leukemia (B-ALL), diffuse large B cell lymphoma, lymphoid leukemia, and Philadelphia chromosome positive acute lymphoblastic leukemia (Ph positive ALL). The therapeutic candidate comprises of T-cells genetically engineered to express chimeric antigen receptor targeting CD19 and CD22. It is administered through intravenous route.

Essen Biotech overview

Essen Biotech is a research center that offers natural killer cell immuno, MSC stem, bone marrow transplant, proton therapy and CAR-T cell therapy services for the treatment of Alzheimer’s disease, bone tissue injuries and other diseases. The company is headquartered in Gillette, Wyoming, the US.

For a complete picture of EBBH-2024’s drug-specific PTSR and LoA scores, buy the report here.

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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.