DA-7503 is under clinical development by Dong-A ST and currently in Phase I for Alzheimer’s Disease. According to GlobalData, Phase I drugs for Alzheimer’s Disease have a 63% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how DA-7503’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.

DA-7503 overview

DA-7503 is under development for the treatment of Alzheimer’s disease. The therapeutic candidate acts by targeting tau protein and is administered through oral route as a tablet.

Dong-A ST overview

Dong-A ST is a pharmaceutical company. It manufactures and sells ethical drugs, medical devices, and diagnostic tests in South Korea. The company offers ethical drugs including gonadopin injection, dulastin progression-free survival, mainta injection, monotaxel injection, motilitone tablet, suganon tablet, sugamet XR tablet, closerin capsule, growtropin II and leucostim. Dong-A ST also offers diagnostic solutions for identification of Malaria, dengue combo, anti-HBs, HBsAg, Hepatitis C, HIV 1/2, Syphilis and Ebola Ag diseases. The company is also deals with research to develop new drugs. Dong-A ST is headquartered in Seoul, South Korea.

For a complete picture of DA-7503’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 16 July 2024

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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.