Paige, a global leader in end-to-end digital pathology solutions and clinical AI applications, announced the availability of Mindpeak's AI algorithms for IHC biomarker quantification in the Paige Platform. Mindpeak, a leader in image analysis AI software, brings state-of-the-art AI algorithms for analyzing IHC slides of lung and breast tissue into the Paige Platform. These two leading pathology AI providers have combined their technologies to help pathologists deliver faster, more accurate, and more reproducible quantitative cancer diagnoses, even in the most challenging and complex cases. "The Paige Platform is one of the most robust and easily integrated solutions available for both routine and AI-augmented digital workflows. The platform offers open compatibility with Mindpeak's image analysis algorithms and AI solutions to support a complete and optimized workflow experience for pathologists" This new integration allows a complete and seamless workflow on the Paige Platform through FullFocus, Paige's FDA-cleared whole-slide image viewer*.

There is arguably no sector more suited to the applications of AI and Machine Learning than the healthcare sector. The ability of computational tools to analyse and extract insights from vast amounts of unstructured data is a seemingly perfect fit for an industry that accrued 2,314 Exabyte's of new data in 2020 alone. From drug discovery to patient records, there are few areas in healthcare delivery that haven't been impacted by AI in some way, and pathology is no different. Although still in its infancy, AI-based computational pathology is an emerging discipline that has shown great promise in improving the accuracy of patient diagnoses and addressing some of the key issues that have plagued the field in recent years. Here we will take a look at just some of the ways AI is being leveraged support pathologists in the complex decision-making process and reduce the burden on an increasingly overstretched workforce.