BMS-986460 is under clinical development by Bristol-Myers Squibb and currently in Phase I for Metastatic Castration-Resistant Prostate Cancer (mCRPC). According to GlobalData, Phase I drugs for Metastatic Castration-Resistant Prostate Cancer (mCRPC) have an 88% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how BMS-986460’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. 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.
BMS-986460 overview
Bristol-Myers Squibb overview
Bristol-Myers Squibb (BMS) is a specialty biopharmaceutical company that is engaged in discovery, development, licensing and manufacturing, marketing, distribution and sale of medicines and related medical products to patients with serious diseases. Its primary focus is on cancer, cardiovascular, immunology and fibrotic therapeutic projects. The company offers its products across the world to wholesalers, retail pharmacies, medical professionals, hospitals and government entities. BMS provides its products in the US, Europe, and Japan. The company conducts research to focus on the discovery and development of novel medicines that address serious diseases in areas of significant unmet medical need. BMS is headquartered in New York City, New York, the US.
For a complete picture of BMS-986460’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.
