INV-102 is under clinical development by Invirsa and currently in Phase II for Keratoconjunctivitis Sicca (Dry Eye). According to GlobalData, Phase II drugs for Keratoconjunctivitis Sicca (Dry Eye) have a 56% 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 keratoconjunctiviti and upper respiratory tract infections. It is administered as an ophthalmic solution for acute keratoconjunctivitis. The drug candidate is derived from a naturally occurring small molecule.

Invirsa overview

Invirsa developing lead compound (INV-102), augments the body’s response to DNA damage and improves cell stability against common infectious diseases, viral pneumonia and dry eye. Invirsa 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.

This content was updated on 20 May 2024

Premium Insights


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.