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      Proscia

      Proscia to Broaden Pathology AI Capabilities with Biomarker Detection for Skin Tissue

      Expanding the industryโ€™s most comprehensive portfolio of AI applications

      PHILADELPHIA and PARIS, Oct. 15, 2025 (GLOBE NEWSWIRE) -- Prosciaยฎ, a pathology AI company, will add AI biomarker detection for skin tissue to its Concentriqยฎ software platform, empowering pathologists to drive efficiency and precision. Powered by Primaa, Cleo Skin* will strengthen Concentriq's lead in offering the industryโ€™s broadest portfolio of AI solutions on a single platform.

      Dermatopathology is among the most diverse areas of pathology, with more than 500 distinct classifications.1ย This variation is compounded by relatively high pathologist disagreement in some instances. While overall inter-observer concordance is estimated at 90โ€“95%, certain distinctions, such as differentiating malignant melanoma from benign melanocytic nevi, can prove challenging.2

      โ€œThis addition underscores our commitment to making AI practical where it can have the greatest impact,โ€ said David West, Prosciaโ€™s CEO. โ€œBy 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.โ€

      The AI biomarker detection application automatically identifies all potential mitotic objects and mitotic hotspots, as well as perineural invasion, which are key indicators of various skin diseases. In combination with lesion classification, including melanoma, basal cell carcinoma, and squamous cell carcinoma, these capabilities can help drive efficiency. The application also measures tumor margins and lesion dimensions, further driving precise and comprehensive evaluation.

      โ€œWe are proud to bring the capabilities of Cleo Skin to Concentriq,โ€ said Fanny Sockeel, Primaaโ€™s CEO. โ€œWe 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 Prosciaโ€™s platform.โ€

      Along with todayโ€™s announcement, Primaa will join theย Proscia Readyย partner alliance. Proscia Ready is made up of solution providers helping life sciences organizations and diagnostic laboratories accelerate the scaled adoption of digital pathology with confidence through a comprehensive approach.

      To learn more, join Proscia's Access25 virtual event on October 28th at 11:30AM.

      *This application is not intended for diagnostic use with Concentriq. Contact the original manufacturer for details about indications for use in your region.

      About Proscia
      Proscia is rewiring pathology for precision medicine to improve patient outcomes. Its software, AI, and real-world data fuel the development and use of novel therapies and diagnostics, driving the fight against humanityโ€™s most challenging diseases, like cancer. 16 of the top 20 pharmaceutical companies and a global laboratory network on track to deliver more than 8 million diagnoses annually rely on Prosciaโ€™s solutions each day. For more information, visitย proscia.comย and follow Proscia onย LinkedInย andย X.

      About Primaa
      Primaa develops artificial intelligence software capable of detecting various cancer biomarkers. The Cleo Breast (for breast) and Cleo Skin (for skin) tools support physicians in making their diagnoses, providing greater reliability and optimizing the time required for examination analysis. Co-founded in 2018 by Marie Sockeel, pathologist, together with Fanny Sockeel and Stรฉphane Sockeel, the company counts 25 employees. To learn more, visit primaalab.com.

      Contact:
      Leah Horvat
      Marketing Coordinator, Proscia
      leah.horvat@proscia.com
      856.625.6144

      _______

      1 Feramisco, J. D., Sadreyev, R. I., Murray, M. L., Grishin, N. V. & Tsao, H. Phenotypic and genotypic analyses of genetic skin disease through the online mendelian inheritance in man (omim) database.ย J. Investig. Dermatol.ย 129, 2628โ€“2636 (2009).
      2 Ianni, J.D., Soans, R.E., Sankarapandian, S.ย et al.ย Tailored for Real-World: A Whole Slide Image Classification System Validated on Uncurated Multi-Site Data Emulating the Prospective Pathology Workload.ย Sci Repย 10, 3217 (2020). https://doi.org/10.1038/s41598-020-59985-2

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