FB-102 is under clinical development by Forte Biosciences and currently in Phase I for Vitiligo. According to GlobalData, Phase I drugs for Vitiligo does not have sufficient historical data to build an indication benchmark PTSR for Phase I. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the FB-102 LoA Report. 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.

FB-102 overview

FB-102 is under development for the treatment of alopecia areata, graft versus host disease (GVHD), vitiligo. It acts by targeting CD122. It is administered through intravenous and subcutaneous route.
It was under development for the treatment of celiac disease.

Forte Biosciences overview

Forte Biosciences is a biopharmaceutical company that develops and commercializes product candidates for the treatment of skin. The company offers lead product candidate such as FB-102. FB-102 is used for the for the treatment of autoimmune diseases such as Vitiligo and Alopecia Areata (AA). Alopecia Areata nonscarring hair loss generally on the scalp but can also other areas of the body. Vitiligo is an autoimmune disease in which the immune system attack melanocytes?. Its services include clinical trials. The company has operations across the US. Forte Biosciences is headquartered in Torrance, California, the US.

For a complete picture of FB-102’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 20 May 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.