Lufepirsen is under clinical development by Amber Ophthalmics and currently in Phase II for Persistent Corneal Epithelial Defects. According to GlobalData, Phase II drugs for Persistent Corneal Epithelial Defects 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 Lufepirsen 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.
Lufepirsen overview
Lufepirsen is under development for the treatment of persistent corneal epithelial defects which are secondary to trauma and refractory to standard of care. The drug candidate is applied as an ophthalmic gel. The drug candidate binds to connexin 43. CODA-001 is a natural, unmodified antisense oligonucleotide. It was also under development for the treatment of venous leg ulcer, diabetic foot ulcers, skin wounds, and near sightedness after PRK laser eye surgery.
Amber Ophthalmics overview
Amber Ophthalmics is a clinical-stage biopharmaceutical company that focuses on innovative therapies for rare ophthalmic diseases. It lead product candidate include NEXAGON (lufepirsen ophthalmic gel) treats persistent corneal epithelial defects (PCED). The company’s drug, Nexagon inhibits hemichannel formation, arresting an exaggerated inflammatory cascade. It Restores limbal stem cell function to promote healing. Amber Ophthalmics is headquartered in San Diego, California, the US.
For a complete picture of Lufepirsen’s drug-specific PTSR and LoA scores, buy the report here.
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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.
