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-6561 overview
NN-6561 is under development for the treatment of metabolic dysfunction-associated steatohepatitis (MASH). It is administered through oral route in the form of capsule. It acts by targeting vascular adhesion protein 1 (VAP-1).
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-6561’s drug-specific PTSR and LoA scores, buy the report here.
From 
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
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.