What can a picture tell us? When it comes to clinical trials for wound care and skin condition research projects, quite a bit. With clear high-resolution images, providers can tell if a wound is healing by how much, if a patient is following protocols, if they need to come in to the trial site for an in-person visit and much more.
Beyond that, images help to. . .
- Engage providers and participants
- Visually demonstrate promising new therapies
- Support and enhance data and metrics
- Build the story of a therapy’s efficacy for FDA and payers – the ultimate aim of all clinical trials
Our latest Infographic, Let a Picture Tell Your Clinical Trial Story highlights how machine learning imaging is transforming wound and skin condition clinical trials. It walks through how the process works, how images can help provide the evidence the FDA and payers need to green light a new therapy, and other benefits important to any researcher, CRO or other entity conducting a skin or wound care clinical trial.
ML imaging models improve data quality to better support clinical trials
For example, accurately capturing a wound’s progression can prove or disprove the entire hypothesis of a trial. Trial sponsors need to accomplish a number of objectives, including:
- Spotlight data that actually represents the wound healing rate. (Note, measuring by length and width using a ruler often doesn’t accurately tell the story of wound healing.)
- Provide objective evidence for healing.
Tissue Analytics for Clinical Research is a cloud-based, e-clinical platform that uses artificial intelligence to improve the efficiency and data accuracy of clinical trials involving wounds, skin lesions, and visual skin conditions.
We are today’s alternative to replace an array of expensive, specialized image capture devices; inaccurate, manual measuring tools, including rulers; and hospital-focused image capture solutions that do not align with the rigorous data review process of a research setting.
Want to find out more? Get more information today.