NN-9931 is under clinical development by Novo Nordisk and currently in Phase III for Metabolic Dysfunction-Associated Steatohepatitis (MASH). According to GlobalData, Phase III drugs for Metabolic Dysfunction-Associated Steatohepatitis (MASH) does not have sufficient historical data to build an indication benchmark PTSR for Phase III. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the NN-9931 LoA Report. 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.
NN-9931 overview
Semaglutide (NN-9931) is under development for the treatment of metabolic dysfunction-associated steatohepatitis (MASH). It is administered through subcutaneously. The drug candidate is a GLP-1 analogue which acts by targeting glucagon-like peptide 1 receptor (GLP1R).
It was also under development for liver cirrhosis.
Novo Nordisk overview
Novo Nordisk, a subsidiary of Novo Holdings AS, is a healthcare company focused on discovering, developing, and manufacturing biological medicines. It focuses on advancing drugs for the treatment of diabetes and other serious 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-9931’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.
