Swift Medical, a company that specializes in the development of digital wound care solutions, has introduced Swift Scientific, a new digital imaging platform intended to support clinical research outfits conducting decentralized clinical trials. The release marks the company’s first offering for the clinical trial market.
Swift Medical’s first introduced product is Swift Skin and Wound, which reportedly gives researchers and patients a way to readily capture high-precision images of skin or wound conditions via any smartphone camera. The technology is designed to autonomously determine clinical characteristics, track disease progression, facilitate remote communication, and share patient data securely and in real time.
Carlo Perez, CEO and co-founder of Swift Medical, said skin and wound trials, like most studies conducted for other conditions, are facing new and unique obstacles, thanks to COVID-19.
“Organizations conducting and managing clinical trials are facing unprecedented challenges caused by the pandemic, yet their research is needed now more than ever,” Perez said. “We’ve already proven that the Swift Medical platform can be a trusted solution for producing clinical-quality images, but now we see an opportunity to help researchers develop life-saving treatments in a faster, more efficient manner.”
“Even after the pandemic, decentralized clinical trials represent the future for medical research, giving applications like Swift Scientific unlimited potential to power the next generation of data collection and analysis,” Perez added.
The pandemic has added new wrinkles to trial participant recruitment, while also making it more challenging than ever for patients to participate in trials; these added complexities have led to longer, more costly studies overall. With analysis of skin conditions necessary to many trials, according to Swift Medical, there existed a need for technology that enables easy-to-use, effective capture and analysis of skin and wound conditions.
According to the company, Swift Scientific enables large-scale image collection and management across any decentralized setting, including participant’s homes or onsite trials. It reportedly produces 3D-generated models, enables automated region-of-interest detection, and calculates precise, clinically validated measurements that eliminate data variability.
Additionally, Swift Scientific reports, study coordinators can continuously monitor the effects of new medications or interventions on participants from anywhere. Investigators also can use real-time reports and analytics, to identify and analyze trends for each subject and study.