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.

Pozelimab overview

Pozelimab (REGN-3918) is under development for the treatment of paroxysmal nocturnal hemoglobinuria (PNH), myasthenia gravis, CD55-deficient protein-losing enteropathy and CHAPLE disease. It is administered through intravenous and subcutaneous routes. It is an antibody to complement 5 (C5), The drug candidate is developed based on VelociSuite technology.

Regeneron Pharmaceuticals overview

Regeneron Pharmaceuticals (Regeneron) is engaged in discovering, developing, manufacturing, and marketing medicines for the treatment of serious medical conditions. Its products are focused on helping patients suffering from cancer, allergic and inflammatory diseases, eye diseases, metabolic and cardiovascular diseases, infectious diseases, neuromuscular diseases, hematologic conditions, pain, and rare diseases. It develops products using its Trap and VelociSuite technology platforms, which include VelocImmune, VelociGene, VelociMouse, VelociMab, Veloci-Bi, VelociT, and other related technologies. The company operates manufacturing facilities in Rensselaer, New York, and Limerick, Ireland. It also collaborates with strategic partners to develop, manufacture, and commercialize its products. It sells its products to specialty pharmacies and distributors. The company operates in the US, the Netherlands, Bermuda, Ireland, Spain, India, Japan, and the UK. Regeneron is headquartered in Tarrytown, New York, the US.

For a complete picture of Pozelimab’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 2 September 2023

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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.