I am utilizing Charles River Laboratories’ pathology expertise and slides and incorporating Aiforia’s platform to build two deep-learning artificial intelligence (AI) models for CRL.
Dr. Dan Rudmann from CRL is guiding and instructing me in pathology to successfully develop these models. I have also been employing support from Aiforia in advancing the models through sharing of extensive knowledge of the program.
The second study is looking at delayed-type hypersensitivity in skin. The objective of this study is to design and train a CNN to recognize characteristics of delayed-type hypersensitivity (DTH) lesions and then score the lesion severity in monkey skin. This model is crucial to impartially classify delayed-type hypersensitivity reactions in the skin.
The knowledge base and quick start guide were also extremely helpful in utilizing and understanding all the advantages and advanced settings of the platform.
I was expecting to need to learn about computer programming in order to use the AI-based software but was pleasantly surprised when I learned the opposite. With basic pathology training, I was able to develop and finalize two AI models. The Aiforia software is easy to use!
These two projects were chosen to be developed using AI software because they are subject to high subjectivity, time requirements, and are laborious when employing manual counting. The Aiforia models greatly improve speed and reproducibility of the assays.