Benefits of AI in preclinical studies

The preclinical phase of drug discovery involves extensive safety evaluations of the potential therapeutic intervention, often using cell and animal models of disease. These studies commonly include going through numerous histopathological samples. This contributes to the drug development process being time-consuming and labor-intensive for pharmaceutical and contract research organizations.

Digital pathology in drug development

Currently, drug development is very time consuming and labor-intensive. Scientists and pathologists go through hundreds of samples identifying variations to assess how a drug affects a certain tissue or animal. Digital pathology and artificial intelligence (AI) are extremely valuable in this process by improving efficiency. For example, toxicologic pathology research generates a huge number of ...

AI in Veterinary Pathology

Introduction Recent advancements in technology have brought together artificial intelligence (AI) and veterinary medicine. As AI models have become accessible through user-friendly platforms, they are now increasingly being utilized by pathologists in both preclinical research and clinical assessment. Veterinary pathologists study disease in animals. They serve as some of the leading experts in ...