Group IIb is under clinical development by Hamlet Pharma and currently in Phase I for Inflammation. According to GlobalData, Phase I drugs for Inflammation have a 44% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how Group IIb’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.

Group IIb overview

The drug candidate is under development for the treatment of inflammation. It acts by targeting RNA polymerase II (RNA Pol II).

Hamlet Pharma overview

Hamlet Pharma is a pharmaceutical company developing drugs for the treatment of cancer and infections. The company develops Human Alpha-lactalbumin Made Lethal to Tumour cells, a tumoricidal protein-lipid complex, formed using two generally regarded as safe molecules present in human milk. Its therapeutic agent kills various cancer cells without harming the healthy tissues and can be used for the treatment of dermatological conditions and various types of cancer such as bladder, colon cancer, and brain tumor, among others. The company works in partnership with various pharmaceutical companies to develop drugs for the treatment of cancer. Hamlet Pharma is headquartered in Lund, Sweden.

For a complete picture of Group IIb’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.