Likelihood of Approval and Phase Transition Success Rate Model – SON-1010 in Non-Small Cell Lung Cancer
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Empower your strategies with our Likelihood of Approval and Phase Transition Success Rate Model – SON-1010 in Non-Small Cell Lung Cancer report and make more profitable business decisions.
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.


SON-1010 in Non-Small Cell Lung Cancer Drug Details:
SON-1010 is under development for the treatment of mesenchymal tumor, solid tumors including non-small cell lung cancer, platinum-resistant epithelial ovarian cancer, fallopian tube cancer and peritoneal cancer, head and neck cancer, soft tissue sarcoma, melanoma and platinum-resistant ovarian cancer . The drug candidate comprises of albumin targeting single chain variable fragment (ScFv), an albumin binding domain fused to interleukin 12. The therapeutic candidate is developed based on single domain antibody fragment platform (ScFv and VhH) technology and Fully Human Albumin Binding (FHAB) technology. It acts by targeting IL12 receptor. The drug candidate is administered through subcutaneous route.The drug candidate was under for the treatment of influenza A virus, H1N1 subtype infections.
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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