INV-102 is under clinical development by Invirsa and currently in Phase II for Diabetic Macular Edema. According to GlobalData, Phase II drugs for Diabetic Macular Edema have a 47% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how INV-102’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.
INV-102 overview
INV-102 is under development for the treatment of Fuchs endothelial corneal dystrophy (FECD), dry eye disease, adenovirus associated acute infectious keratoconjunctivitis, non-center involved diabetic macular edema associated with non-proliferative diabetic retinopathy. It is administered as an ophthalmic solution for acute keratoconjunctivitis. The drug candidate is derived from a naturally occurring small molecule.
The drug candidate was also under development for the treatment of viral conjunctivitis and upper respiratory tract infections.
Invirsa overview
Invirsa is developing drugs for the treatment of ocular diseases. The company is headquartered in Columbus, Ohio, the US.
For a complete picture of INV-102’s drug-specific PTSR and LoA scores, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
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.
