Likelihood of Approval and Phase Transition Success Rate Model – Pepinemab in Alzheimer’s Disease
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This report provides you with the data that allows you to track and predict the specific likelihood of approval (LOA) and phase transition success rate (PTSR) of a drug using GlobalData’s proprietary machine learning algorithms developed using over 10 years of historical data.


Pepinemab in Alzheimer’s Disease Drug Details:
Pepinemab (VX-15) is under development for the treatment of multiple sclerosis (MS), metastatic adenocarcinoma of the pancreas, pancreatic ductal adenocarcinoma, metastatic melanoma, recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC), non-small cell lung cancer, Alzheimer’s disease, osteosarcoma, squamous cell carcinoma of the head and neck, oropharyngeal cancer, oral cavity cancer, laryngeal cancer, rett syndrome, relapsed/refractory solid tumors such as metastatic colorectal, HER2-positive (HER2+) metastatic breast cancer, papillary thyroid cancer, pancreatic ductal adenocarcinoma and pediatric patients with solid tumors. It is administered intravenously. The drug candidate is a monoclonal antibody targeting semaphorin 4D (SEMA4D). The drug candidate is developed based on proprietary ActivMab technology, which involves a vaccinia virus-based vector to express antibodies in mammalian cells. It was also under development for the treatment of melanoma.It was under development for the treatment of Huntington’s disease metastatic colorectal cancer and metastatic melanoma..
Report Coverage
The data is segmented by drug name per indication and shows the current likelihood of approval for the drug compared to the indication benchmark and the industry benchmark.
The Likelihood of Approval data is updated regularly based on events that take place which impact the clinical development process and regulatory considerations. GlobalData’s proprietary machine learning models consider these events in real time, to produce quantitative changes to the LOA and PTSR along with qualitative reasoning why the likelihood of approval has changed.
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Reasons to Buy
- Precise Likelihood of Approval and Phase Transition Success Rates: Our machine learning and proprietary models provide accurate predictions, helping you gauge the potential success of a drug in the regulatory process.
- Competitive Strategy Planning: Access information on LOA and PTSR for competitors’ drugs, allowing you to plan your clinical development, commercialisation and marketing strategies
- Event-driven Updates: Track event-driven changes in LOA and PTSR benchmarked against indication LOA/PTSR. Get the latest insights to adapt your strategies promptly!
- Well-informed Investment Decisions: This data helps you navigate the dynamic landscape of drug development and regulatory considerations.
Scope
- Drug Details: Drug name, Drug type, Intervention type
- Administration Pathway
- Therapeutic Areas
- Key Manufacturers
- Drug Development Status
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