20ND02 is under clinical development by HK inno.N and currently in Phase II for Metabolic Dysfunction-Associated Steatohepatitis (MASH). According to GlobalData, Phase II drugs for Metabolic Dysfunction-Associated Steatohepatitis (MASH) have a 25% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how 20ND02’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.
20ND02 overview
FM-101 (IN-A010) is under development for the treatment of glaucoma, and non-alcoholic steatohepatitis. It is a new chemical entity.
HK inno.N overview
HK inno.N, a subsidiary of Kolmar Korea Co Ltd, is a manufacturer of active pharmaceutical ingredients and prescription drugs. The company’s products include prescription drugs, healthcare daily products and beauty products. Prescription products include OMAP plus wonju, omaf plus one ferry, dafaen tablet. Healthcare daily products include condition stick, red ginseng jin jeong seong, refresh plain. Beauty products include scalpmed gold biome repair shampoo, scalpmed gold biome repair treatment, phyto collagen eye serum patch, among others. It markets its products under the brand names including Scalpmed and Condition. HK inno.N is headquartered in Seoul, South Korea.
For a complete picture of 20ND02’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.
