IN-M00001 is under clinical development by HK inno.N and currently in Phase I for Reflux Esophagitis (Gastroesophageal Reflux Disease). According to GlobalData, Phase I drugs for Reflux Esophagitis (Gastroesophageal Reflux Disease) have a 78% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how IN-M00001’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.

IN-M00001 overview

IN-M00001 is under development for the treatment of gastroesophageal reflux disease. It is administered through parenteral route. It is an incrementally modified drug (IMD).

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 IN-M00001’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.