Lung Transplant Rejection is an indication for drug development with over 10 pipeline drugs currently active. According to GlobalData, preregistered drugs for Lung Transplant Rejection have a 100% likelihood of approval (LoA) indication benchmark. GlobalData’s report assesses how phase transition success rate (PTSR) and likelihood of approval (LoA) scores for pipeline drugs in Lung Transplant Rejection compared to historical benchmarks. Buy the report here.
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GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, company and its clinical trials play a fundamental role in drug-specific PTSR and likelihood of approval.
Lung Transplant Rejection overview
Lung transplantation is the therapy used in various lung diseases. A lung transplant replaces an injured or diseased lung with a healthy one. Risk factors associated with transplantation are bleeding, infection, clots, and cardiovascular disorders. Following a transplant, the immune system may consider the transplanted lung as foreign and may work against it. Patients may hence develop complications and eventually reject the new organ. Immunosuppressive drugs are administered simultaneously that prevent the body from either identifying or attacking the foreign organ via various immune responses, thus blocking organ rejection and facilitating a successful transplant.
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For a complete picture of PTSR and LoA scores for drugs in Lung Transplant Rejection, buy the report here.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Likelihood of Approval analytics tool dynamically assesses and predicts how likely a drug will move to the next stage in clinical development (PTSR), as well as how likely the drug will be approved (LoA). This is based on a combination of machine learning and a proprietary algorithm to process data points from various databases found on GlobalData’s Pharmaceutical Intelligence Center.
