

Atlas H&E-TME is an advanced pathology foundation model developed collaboratively by Mayo Clinic, Charité – Universitätsmedizin Berlin, and Aignostics. Designed to enhance the analysis of hematoxylin and eosin (H&E) stained histopathology images, Atlas H&E-TME leverages a vast dataset of 1.2 million whole slide images from over 490,000 cases. This extensive training enables the model to effectively capture the diverse morphological and technical variations present in pathology, thereby improving the accuracy and robustness of downstream diagnostic tasks.

Aignostics' RudolfV is an advanced foundation model specifically designed for histopathology, developed through a "pathologist-in-the-loop" approach to enhance model robustness and scalability. By integrating pathologist expertise in data curation and model training, RudolfV effectively addresses the complexities inherent in digital pathology.
Aignostics is a technology company specializing in artificial intelligence and machine learning solutions for the healthcare sector. The company focuses on enhancing diagnostic processes and improving patient outcomes by leveraging advanced data analytics and imaging technologies. Aignostics aims to empower medical professionals with tools that facilitate more accurate and efficient diagnoses, particularly in pathology and radiology. Their innovative approach combines deep learning algorithms with clinical expertise to support decision-making in medical settings.