Paige  

New York,  NY 
United States
http://www.paige.ai
  • Booth: 816

Paige was founded in 2017 by Thomas Fuchs, Dr.Sc., David Klimstra, M.D. and colleagues from Memorial Sloan Kettering Cancer Center (MSK). The company builds computational pathology products designed so patients and their care teams can make effective, more informed treatment decisions. With this new class of AI-based technologies positioned to drive the future of diagnostics, Paige created a platform to deliver this novel technology to pathologists to transform their workflow and increase diagnostic confidence and productivity. Paige’s products deliver insights to pathologists and oncologists so they can arrive efficiently at more precise diagnoses for patients. Paige is the first company to receive FDA approval for an AI-based digital pathology product.


 Products

  • Paige Prostate
    Paige Prostate leverages powerful AI to assist pathologists in the detection of suspicious foci, grading and quantification of tissue and indication of perineural invasion (PNI) in needle core biopsy samples of the prostate....
     

  • The first AI-based pathology product to receive FDA marketing authorization and CE approval for in-vitro diagnostic (IVD) use in the detection of prostate cancer on digitized needle biopsy slides. This powerful AI assists pathologists in the detection of suspicious foci, grading and quantification of tissue, and indication of perineural invasion (PNI) in needle core biopsy samples of the prostate. Tested and validated on thousands of biopsies and slides from over 200 institutions, it works on a wide range of data and spans numerous pre-analytical variations, staining techniques, and scanning artifacts without the need for tuning or recalibration. In clinical practice, it can assist in efficiencies of reads and reduce diagnostic errors by precisely identifying cancerous regions of interest, no matter how small. Proven to improve both sensitivity and specificity, Paige Prostate can help pathologists across varying levels of specialization boost diagnostic confidence and workflow efficiencies and deliver accurate results to patients in record time.