Likelihood of Approval and Phase Transition Success Rate Model – AGENT-797 in Coronavirus Disease 2019 (COVID-19) Associated Acute Respiratory Distress Syndrome
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Empower your strategies with our Likelihood of Approval and Phase Transition Success Rate Model – AGENT-797 in Coronavirus Disease 2019 (COVID-19) Associated Acute Respiratory Distress Syndrome 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.


AGENT-797 in Coronavirus Disease 2019 (COVID-19) Associated Acute Respiratory Distress Syndrome Drug Details:
AGENT-797 is under development for the treatment of moderate to severe acute respiratory syndrome due to COVID-19 and influenza, solid tumor, gastric cancer, chronic lymphocytic leukemia, small lymphocytic lymphoma, follicular lymphoma, marginal zone lymphoma, diffuse large B-cell lymphoma, non-small cell lung cancer, cervical cancer, colorectal cancer, kidney cancer (renal cell cancer), thymoma (thymic epithelial tumor), transitional cell cancer (urothelial cell cancer), duodenal cancer, lung cancer, ocular melanoma pancreatic cancer, rectal cancer, bile duct cancer (cholangiocarcinoma), testicular cancer, prostate cancer, relapsed/refractory multiple myeloma, head and neck squamous cell carcinoma, hepatocellular cancer, esophageal cancer and adenocarcinoma of gastroesophageal junction. The drug candidate comprises of allogenic invariant natural killer T-cells (iNKT). It is administered through intravenous route. It was also under development for the treatment of metastatic melanoma, graft versus host disease (autoimmune disease).
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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