RG-6341 is under clinical development by F. Hoffmann-La Roche and currently in Phase II for Chronic Cough. According to GlobalData, Phase II drugs for Chronic Cough does not have sufficient historical data to build an indication benchmark PTSR for Phase II. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the RG-6341 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.
RG-6341 overview
RG-6341 is under development for the treatment of asthma and chronic cough. The drug candidate is a new molecular entity (NME). It is administered through oral route in the form of tablet.
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F. Hoffmann-La Roche overview
F. Hoffmann-La Roche (Roche) is a biotechnology company that develops drugs and diagnostics to treat major diseases. It provides medicines for the treatment of cancer, other auto-immune diseases, central nervous system disorders, ophthalmological disorders, infectious diseases, and respiratory diseases. The company also offers in vitro diagnostics, tissue-based cancer diagnostics, and diabetes management solutions. Roche conducts research to identify novel methods to prevent, diagnose, and treat diseases. The company offers its products and services to hospitals, healthcare professionals, commercial laboratories, researchers, and pharmacists. Together with its subsidiaries and partners, the company has operations in various countries. Roche is headquartered in Basel, Switzerland.
For a complete picture of RG-6341’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.
