Likelihood of Approval and Phase Transition Success Rate Model – Alectinib in Central Nervous System (CNS) Tumor
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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.


Alectinib in Central Nervous System (CNS) Tumor Drug Details:
Alectinib (Alecensa / Alecensaro) is an antineoplastic agent. It is an anaplastic lymphoma kinase (ALK) inhibitor. It is formulated as hard gelatin capsules for oral route of administration. Alecensa is indicated for the treatment of patients with anaplastic lymphoma kinase (ALK)-positive, metastatic non-small cell lung cancer (NSCLC) who have progressed on or are intolerant to crizotinib and as a monotherapy for the first-line treatment of adult patients with anaplastic lymphoma kinase (ALK)-positive, advanced non-small cell lung cancer (NSCLC). Alecensa is also indicated for recurrent or refractory ALK fusion gene-positive anaplastic large-cell lymphoma.Alectinib is under development for the treatment of central nervous system (CNS) tumor, advanced or metastatic solid tumors, inflammatory myofibroblastic tumor , high-grade glioma, renal cell carcinoma, non-small cell lung cancer (NSCLC) as an adjuvant therapy and first line therapy. It is administered through oral route as a capsule.
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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