NN-9650 is under clinical development by Novo Nordisk and currently in Phase I for Diabetes. According to GlobalData, Phase I drugs for Diabetes have a 68% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how NN-9650’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. 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.

NN-9650 overview

NN-9650 is under development for the treatment of diabetes. It is administrated subcutaneously It is a once monthly formulation which acts by targeting both GLP-1 and GIP receptors.

Novo Nordisk overview

Novo Nordisk, a subsidiary of Novo Holdings AS, is a healthcare company with focus on discovering, developing, and manufacturing biological medicines. It focuses on advancing drugs for the treatment of diabetes and other serious and chronic conditions including haemophilia, human growth hormone (HGH) disorders, rare blood and rare endocrine diseases and obesity. The company’s portfolio includes pre-filled delivery systems for insulin; glucagon hypokit; cartridge; needles; vials; insulin; estradiol for hormone replacement; recombinant drugs for haemophilia; glucagon; and oral antidiabetic agents. The company markets its products through subsidiaries in North America, Europe, Asia, Latin America, Africa, the Middle East and Australia. Novo Nordisk is headquartered in Bagsvaerd, Denmark.

For a complete picture of NN-9650’s drug-specific PTSR and LoA scores, buy the report here.

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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.