Pathotrainer is a dedicated tool for creating virtual spaces in which digital pathology education, data collection, and testing of pathologists with or without AI support can take place.

Building, training, re-training, tuning and testing histopathologic tests, scoring systems and AI's is made easy and scalable.

It is intended for use by Pharmaceutical companies, departments of pathology, research institutes, diagnostic AI companies, universities and quality control organisations.

It is intended for use by students, researchers, scientists and teachers in (bio-)medical science, histology, cytology, histopathology.

You can use it for:

• design, development and validation of new scoring algorithms/systems, including an AI/ML algorithm
• spreading awareness of biomarker scoring algorithm via live classes and independent self-directed courses
• training and retraining a scoring algorithm/system
• tuning for an existing scoring algorithm/system (e.g. HER2 scoring system)
• ring studies and surveys

Suggested reading:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3795863/

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927897/

https://www.nature.com/articles/s41374-018-0057-0