INB-100 by IN8bio for Acute Lymphocytic Leukemia (ALL, Acute Lymphoblastic Leukemia): Likelihood of Approval

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INB-100 is under clinical development by IN8bio and currently in Phase I for Acute Lymphocytic Leukemia (ALL, Acute Lymphoblastic Leukemia). According to GlobalData, Phase I drugs for Acute Lymphocytic Leukemia (ALL, Acute Lymphoblastic Leukemia) have a 70% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how INB-100’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.

INB-100 overview

INB-100 is under development for the treatment of leukemia like acute and chronic myelocytic leukemia, acute lymphocytic leukemia, myelodysplastic syndrome and lymphoma. The therapeutic candidate is administered through parenteral route. The therapeutic candidate is developed based on drug resistant immunotherapy (DRI) platform technology and consists of genetically modified gamma delta T cells administered along with chemotherapy.

IN8bio overview

IN8bio. is a clinical-stage biopharmaceutical firm focused on the development, marketing, and discovery of gamma-delta T cell therapeutics for cancer therapy. The company is headquartered in United States.

For a complete picture of INB-100’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 15 September 2023

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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.

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