The veterinary field is evolving, and the integration of technology and artificial intelligence (AI) is revolutionizing the way we approach animal healthcare. This is particularly evident in the recent summer program at the Virginia-Maryland College of Veterinary Medicine, where students explored innovative research topics that could have a significant impact on the veterinary profession. One of the most intriguing projects focused on the potential of smartphone cameras and AI in tumor diagnosis, a development that could be a game-changer for veterinarians in remote areas or those lacking access to expensive diagnostic equipment. Brandon Duncan and Lydia Nesser, both students in the Class of 2029, delved into this topic, showcasing the power of technology in veterinary medicine.
Duncan's research centered on canine mast cell tumors, a common yet challenging cancer in dogs. By utilizing an AI model inspired by the brain's pattern recognition abilities, he aimed to grade tumors from cytology images alone. The results were impressive, with the model achieving an accuracy of 82.1%, which is remarkably close to the accuracy of modern pathology. This finding highlights the potential for AI to provide valuable insights into tumor characteristics, aiding in identification, prognosis, and treatment planning. Duncan's personal connection to the research, having lost his dog Diamond to a high-grade cutaneous mast cell tumor, adds a layer of emotion to the study.
Nesser's project tackled soft tissue sarcomas, which are notoriously difficult to classify. Her model, when simplified to distinguish between grade one and grade three tumors, achieved an accuracy of nearly 60%. However, the small number of individual tumors available for training proved to be a limiting factor. Nesser's follow-up experiment using a different AI model, DinoBloom, demonstrated improved accuracy, but the comparison was not under identical conditions. These findings emphasize the importance of data quantity and the need for more extensive datasets to train AI models effectively.
The summer program also showcased other innovative research projects. Ryane Cronk investigated the use of a nasal vaccine to improve respiratory health and gut bacteria in dairy calves. Katherine Freeman explored histotripsy, a sound-wave treatment for bone cancer in dogs. Aislynn Grantz tested the potential of triclabendazole-related drugs against fungal infections. Sarah Hou examined T cells in mouse bone tumors treated with histotripsy. Dani Ingallis measured dog movement using a wearable fitness tracker. Tiana O'Neill studied small proteins on the skin of dogs with allergic skin disease. Lydia Periconi investigated the spread of a cattle virus between generations and herd mates. Malik Torres studied the effects of a cystic fibrosis drug combo on harmful bacteria in patients' lungs.
The program's director, S. Ansar Ahmed, emphasized the growing need for veterinarian-scientists to address complex challenges at the animal-human-environment interface. He highlighted the importance of research-trained veterinarians in tackling zoonotic diseases, antimicrobial resistance, food security, and the development of novel diagnostics, therapeutics, and preventive strategies. The program's success in training over 100 DVM students, many of whom have incorporated research into their careers, is a testament to its impact and potential to shape the future of veterinary medicine.
In conclusion, the summer program at the Virginia-Maryland College of Veterinary Medicine has once again demonstrated the innovative spirit and potential of veterinary students. The integration of technology and AI in tumor diagnosis, as exemplified by Duncan and Nesser's projects, could revolutionize veterinary practice and improve animal healthcare. As the field continues to evolve, these students are paving the way for a brighter and more technologically advanced future in veterinary medicine.
