The application of digital pathology in our practice will transform both the economics and profits of our practice and most importantly improve patient outcomes.
Baltimore, Maryland (PRWEB)
September 28, 2017
Proscia Inc., a data solutions provider for digital pathology, announced today the launch of a new product optimized for digital clinical workflows in anatomic pathology labs. Built from its award-winning software platform, Proscia’s new offering leverages machine learning and artificial intelligence (AI) techniques, leading the move towards precision medicine and computational pathology. Proscia now provides hospital, academic, and commercial labs a digital platform for generating additional revenue and improving workflow efficiency, while driving accuracy and increased confidence in results that benefits both pathologists and patients.
“Proscia’s new clinical solutions are exciting, as they give us the flexibility to adopt digital pathology in phases and set us on a course to incorporate Proscia’s AI-based computational pathology applications,” said Dr. Nicolas Cacciabeve, Managing Director of Advanced Pathology Associates, a 15-pathologist independent practice providing service to seven hospitals and an anatomic pathology reference laboratory in the Rockville, Maryland area. “The application of digital pathology in our practice will transform both the economics and profits of our practice and most importantly improve patient outcomes.”
Proscia’s newly released clinical offering is the next major step in the company’s evolution, focusing on improving clinical workflow and providing pathologists with powerful software and applications for a wide range of non-primary diagnostic clinical uses in a case-centric workflow.*
Commercial and medical facility users of Proscia’s new clinical offering gain access to a broad range of capabilities within a single, unified, platform, including:
- Modular adoption of digital pathology, for those clients who choose to incrementally adopt digital pathology
- An online, role-based consultation portal
- Automated quantitative immunohistochemistry (IHC)
- Image analysis