Likelihood of Approval and Phase Transition Success Rate Model – Mirdametinib in Letterer-Siwe Disease (Multifocal and multisystemic (disseminated) Langerhans-cell histiocytosis)
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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.


Mirdametinib in Letterer-Siwe Disease (Multifocal and multisystemic (disseminated) Langerhans-cell histiocytosis) Drug Details:
mirdametinib (PD-0325901) is under development for the treatment of neurofibromatosis type-1 (NF1)-associated plexiform neurofibromas (PNs), non-small cell lung cancer, low-grade glioma, colorectal cancer, ovarian cancer, endometrial cancer, thyroid cancer, melanoma, pancreatic cancer, Langerhans cell histiocytosis, cutaneous neurofibromas and other solid tumors. The therapeutic candidate is administered through oral route. PD0325901 is a bioavailable, synthetic organic molecule targeting mitogen-activated protein kinase (MAPK/ERK kinase or MEK) with potential antineoplastic activity. It was under development for the treatment of colon cancer, breast cancer, melanoma and non-small cell lung cancer. It is under development for the treatment of ER+ metastatic breast cancer and advanced solid tumors. It acts by targeting MEK1 or MEK2.
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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