Likelihood of Approval and Phase Transition Success Rate Model – MHB-036C in Non-Small Cell Lung Cancer
Powered by
Unlock hidden opportunities in the LoA industry
How likely is it that a drug will get approved? Will the drug transition to the next phase of its clinical pathway? 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.
MHB-036C in Non-Small Cell Lung Cancer Drug Details:
MHB-036C is under development for the treatment of solid tumors, non-small cell lung cancer (NSCLC), small cell lung cancer (SCLC), pancreatic cancer Ductal adenocarcinoma (PDAC), head and neck squamous cell carcinoma (HNSCC), esophageal squamous cell carcinoma (ESCC), urothelial carcinoma (UC), ovarian cancer (OC), carcinoma (BC), gastric cancer (GC), castration-resistant prostate cancer (CRPC) and sweat gland carcinoma (SGC), metastatic transitional (urothelial) tract cancer, ureter cancer, bladder cancer, urethral cancer, epithelial ovarian cancer, fallopian tube cancer, peritoneal cancer, metastatic ovarian cancer, triple-negative breast cancer, human epidermal growth factor receptor 2 negative breast cancer, human epidermal growth factor receptor 2 positive breast cancer, metastatic castration-resistant prostate cancer, endometrial cancer. It is being developed based on SuperTopoi ADC platform It is administered through intravenous route. It acts by targeting TROP-2.
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.
Quick View – LOA Data | |||||
Report Segments |
|
||||
Drug Name |
|
||||
Administration Pathway |
|
||||
Therapeutic Areas | |||||
Key Manufacturers |
|
||||
Drug Development Status |
|
Reasons to Buy
- Predict the specific likelihood of approval and phase transition success rates of a drug using a combination of machine learning and proprietary models
- Get information on LOA and PTSR for competitors’ drugs to plan your clinical development, commercialization and marketing strategies
- Track event-driven changes in LOA and PTSR benchmarked against indication LOA/PTSR
- Use PTSR and LOA information and event-driven changes for your investment decisions.
Frequently asked questions
- Drugs which have been approved in the past 10 years
- Drugs which have failed during clinical development in the past 18 years
- Drugs which are currently in development
- Phase I, Phase II, Phase III, and Pre-Registration development stage
- Drugs must meet one of the following criteria to be included in the model:
- The developer has specified the US as an intended market for approval.
- The developer has not specified any country as an intended market for approval, i.e. the “Drug Geography” is listed as “Global”
- Innovator drugs and biosimilars
- Diagnostics, Imaging Agents, Biomarkers, stents and other drug delivery devices (covered in GlobalData’s Medical Intelligence Center).
- Nutraceuticals, dietary supplements, alternative medicines, imaging agents, radio emitter, transplants, transfusions, fillers, cosmetics, probiotics, antiseptics, antacids, mobilizing agents, veterinary drugs and drugs not seeking approval.
- Generic drugs
- Innovative drugs in Preclinical or Discovery Stage.
- Pipeline drugs sponsored by a Government or Institution.
- Drugs with a specific Drug Geography not the United States.
The probability of a drug ultimately receiving market authorization
The probability of a drug’s advancement to the next stage of clinical development
GlobalData’s Drug-Specific Likelihood of Approval (LoA) calculates the Phase Transition Success Rate (PTSR) and Likelihood of Approval (LoA) customized to individual drug. The model uses a combination of Machine Learning (ML) and a GlobalData proprietary algorithm to process data points from the Drugs, Clinical Trials, Regulatory Milestones, Company, and Financial databases.
Inclusion
Data Scope:
Drug Phase Scope:
Drug Geography Scope:
Drug Type Scope:
Entity Type Scope:
Only drugs in development by companies are included in the model.
Exclusion
Get in touch to find out about multi-purchase discounts
reportstore@globaldata.com
Tel +44 20 7947 2745
Every customer’s requirement is unique. With over 220,000 construction projects tracked, we can create a tailored dataset for you based on the types of projects you are looking for. Please get in touch with your specific requirements and we can send you a quote.