BreastIHC as the leading Diagnosis-Software is a plug-and-play solution that enables pathology laboratories to instantaneously detect, classify and quantify breast cancer cells immunohistochemically stained against biomarkers Ki-67, ER and PR. BreastIHC automates the quantification of positively and negatively stained tumor cells in order to provide the clinical score. A great advantage is its ability to differentiate between tumorous and non-tumorous structures, improving the scoring in the tumor microenvironment. "Extensive validation of our algorithm has shown its reliability under a wide range of laboratory conditions and customers confirm a significant increase in reporting speed and throughput“, says Faber. The fourth algorithm for breast tissue, HER2, is already available and will very soon be CE-marked as well.
Crosscope’s team will ensure seamless availability of Mindpeak’s AI tools with an integrated approach towards delivering support and training to the healthcare providers in the regions. "Pathology is on the cusp of digital transformation and Crosscope is very much dedicated to offer end-to-end digital pathology solutions to bridge gaps and usher in a new phase of personalized diagnostics. Crosscope is excited to team up with Mindpeak to provide their AI tools alongside our cutting-edge AI-software and collaboration platform to enable Oncopathology automation for our customers. Digitization of pathology is a key area for the use of AI-based diagnostic algorithms to speed up and improve the diagnosis making an impact in reducing India's cancer burden”, says Jayendra Shinde, CEO of Crosscope.
About Crosscope
Crosscope; abbreviated from "Computational Microscope" is a medical AI software company on a mission to radically transform patient care by unlocking the power of AI. The company's Crosscope Dx software is a digital pathology platform to facilitate deploying scalable Artificial Intelligence and Computational Pathology tools to empower pathology laboratories with precision diagnostics. Crosscope's team of engineers, data scientists, and pathologists are developing a unique platform and AI approach to deliver efficient pathology workflows for increased diagnostic accuracy and productivity.