AD-981 is under clinical development by Apnimed and currently in Phase II for Respiratory Depression (Hypoventilation). According to GlobalData, Phase II drugs for Respiratory Depression (Hypoventilation) have a 67% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how AD-981’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.

AD-981 overview

AD-981 is under development for the treatment of obesity hypoventilation syndrome (OHS). It is administered through oral route.

Apnimed overview

Apnimed discovers and develops oral pharmacologic treatments for neurologic and other related disorders. The company is investigating its lead product candidate AD109, an atomoxetine and aroxybutynin based oral solution to treat obstructive sleep apnea (OSA) and snoring. It is also evaluating AD504, an atomoxetine and trazodone formulation targeting OSA patients with disturbed sleep. The company’s science improves respiration and oxygenation during sleep and reduces the adverse health outcomes associated with OSA by targeting the neurological control and activating the upper airway dilator muscles. Apnimed is headquartered in Cambridge, Massachusetts, the US.

For a complete picture of AD-981’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 15 September 2023

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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.