Our digital pathology platforms leverage the power of digital imaging, artificial intelligence (AI), and cloud computing to transform traditional pathology workflows into more efficient, accurate, and collaborative processes. By integrating with various proprietary systems, we connect people with the data they need and enable organizations to store, manage, analyze and share digital slides. Our pathology image management systems, vendor neutral archives, educational products, viewing software and related tools lead the industry with secure, compliant and scalable features.
Our sales and support teams are committed to providing seamless customer experience and high customer satisfaction. You can count on us to promptly address incidents and support requests, and to be hands-on with difficult issues like data migrations, live troubleshooting, installation assistance, and much more. Our customer-centric approach along with our comprehensive processes for mitigating cybersecurity threats and risks, makes Pathcore a dependable partner for large and small organizations. We are ISO/IEC 27001:2013 certified for having an information security management system (ISMS) that is focused on providing secure products and services for customers, partners and employees.
As Pathcore’s CEO, Dan is leading the company with a vision to connect the digital pathology ecosystem. Dan’s career has focused on developing and commercializing digital pathology software products. He led development of the Sedeen Viewer two decades ago, a research tool which is still widely used around the globe today, and has been a principal investigator for several Canadian and American pathology research programs. Previously, Dan was Co-Chair of DICOM’s pathology working (WG-26), where he contributed to WSI standardization efforts and a series of interoperability connectathons.
Dr. Martel is the co-founder and CSO of Pathcore, and currently holds positions as a Professor in Medical Biophysics at the University of Toronto, and a Senior Scientist at Sunnybrook Research Institute. Her pioneering work in Medical Image Analysis, particularly using machine learning for MRI and digital pathology, has significantly advanced medical imaging. A prominent figure in the medical image analysis community, Dr. Martel is a fellow of the MICCAI Society, has served on its board, and contributes as a senior editorial board member for the journal Medical Image Analysis. Explore her work on her Google Scholar profile.
