New skin tissue analysis tools aim to address diagnostic challenges in one of pathology’s most diverse specialties.
Proscia will integrate AI biomarker detection for skin tissue into its Concentriq software platform through a partnership with Primaa, adding dermatopathology capabilities to its existing AI portfolio.
The new Cleo Skin application automatically identifies potential mitotic objects, mitotic hotspots, and perineural invasion—key indicators used in diagnosing various skin diseases. The tool also provides lesion classification for melanoma, basal cell carcinoma, and squamous cell carcinoma, while measuring tumor margins and lesion dimensions.
Dermatopathology presents unique diagnostic challenges, with more than 500 distinct classifications and varying levels of inter-observer agreement among pathologists. While overall concordance rates reach 90% to 95%, certain distinctions—such as differentiating malignant melanoma from benign melanocytic nevi—can prove difficult for pathologists.
“This addition underscores our commitment to making AI practical where it can have the greatest impact,” says David West, Proscia’s CEO, in a release. “By expanding our AI offerings in skin, we will enable pathologists to deliver faster, more consistent results in one of the most challenging areas of pathology, all within the workflows they trust.”
The application is not intended for diagnostic use with Concentriq, according to the company.
Partnership Expands AI Access
As part of the collaboration, Primaa will join Proscia’s Ready partner alliance, which connects solution providers working to accelerate digital pathology adoption in life sciences organizations and diagnostic laboratories.
“We are proud to bring the capabilities of Cleo Skin to Concentriq,” says Fanny Sockeel, Primaa’s CEO, in a release. “We are not only offering dermatopathologists the chance to deliver fast and confident results but also giving laboratories even more reason to advance their AI journey on Proscia’s platform.”
Photo caption: Primma skin pathology
Photo provided: Primma/Proscia
