Adipose Tissue Derived Mesenchymal Stromal/Stem Cells is under clinical development by Cell2Cure and currently in Phase I for Diabetic Foot Ulcers. According to GlobalData, Phase I drugs for Diabetic Foot Ulcers does not have sufficient historical data to build an indication benchmark PTSR for Phase I. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the Adipose Tissue Derived Mesenchymal Stromal/Stem Cells LoA Report. Buy the report here.

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.

Adipose Tissue Derived Mesenchymal Stromal/Stem Cells overview

Cell therapy is under development for the treatment of corneal transplant, diabetic foot ulcer, dry eye disease, lung transplant rejection, Sjogren’s syndrome and Xerostomia. The therapeutic candidate comprises of adipose tissue derived mesenchymal stromal or stem cells. It is administered through subcutaneous route.

Cell2Cure overview

Cell2Cure is a biotherapeutic company developing ‘off-the-shelf’ adipose tissue derived mesenchymal stromal cell (ASC) products applied in a wide range of advanced-stage diseases with involvement of inflammation and immunological activity, blood circulatory disturbance, fibrosis and scar development. Cell2Cure is headquartered in Birkerod, Denmark.

For a complete picture of Adipose Tissue Derived Mesenchymal Stromal/Stem Cells’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 20 February 2024

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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.