Likelihood of Approval and Phase Transition Success Rate Model – Ianalumab in Systemic Sclerosis (Scleroderma)
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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.


Ianalumab in Systemic Sclerosis (Scleroderma) Drug Details:
Ianalumab is under development for the treatment of primary Sjogren’s syndrome, systemic lupus erythematosus, diffuse cutaneous systemic sclerosis, rheumatoid arthritis, B-Cell Non-Hodgkin Lymphomas including diffuse large B-cell lymphoma, follicular lymphoma (FL), marginal zone lymphoma (MZL), mantle cell lymphoma (MCL), autoimmune hemolytic anemia, hidradenitis suppurativa, primary immune thrombocytopenia and lupus nephritis. The therapeutic candidate is administered through subcutaneous and intravenous routes. It is a fully human IgG1/k mAb with a dual mode of action targeting B-cell lysis and by targeting BAFF receptor (BAFF-R). The therapeutic candidate is based on HuCAL (human combinatorial antibody library) technology. It is a new molecular entity (NME).The drug candidate was also under development for the treatment of autoimmune hepatitis, relapsed or refractory chronic lymphocytic leukemia, chronic lymphocytic leukemia, pemphigus vulgaris, idiopathic pulmonary fibrosis and relapsing-remitting multiple sclerosis (RRMS).
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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