Anti-fibrotic agent is under clinical development by Boehringer Ingelheim International and currently in Phase I for Myocardial Fibrosis. According to GlobalData, Phase I drugs for Myocardial Fibrosis 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 Anti-fibrotic agent 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.
Anti-fibrotic agent overview
The drug candidate is under development for the treatment of cardio renal metabolic fibrosis.
Boehringer Ingelheim International overview
Boehringer Ingelheim International (Boehringer), a subsidiary of CH Boehringer Sohn AG & Co KG, is a pharmaceutical company that develops, manufactures and markets pharmaceuticals, parasiticides, vaccines and therapeutics for unmet medical needs. It offers an array of products including human diseases, animal health care products, and biopharmaceuticals. The company’s products are used for the treatment central nervous system disorders, cardiometabolic diseases, respiratory diseases, cancer, immunology, and retinal diseases, among others. It also offers animal healthcare products for swine, ruminant, poultry, horses, and pets, among others. Boehringer is headquartered in Ingelheim am Rhein,Rhineland-Palatinate, Germany.
For a complete picture of Anti-fibrotic agent’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.
