Seminar
Artificial Intelligence in Animal Health Diagnostics
Enhancing Diagnostics Through the Power of AI
Course Description
Artificial intelligence (AI) is unlocking the future of diagnostics in all industries. It is vital to identify and communicate how it empowers the next wave of diagnostic innovation in animal health. Holding a basic understanding of AI is vital for the new era of industry professionals in order to better understand and utilize new animal health diagnostic technologies.
What You'll Gain
Understanding the potential of AI and how it is being used to advance the future of veterinary diagnostics is vital to maximize future research and product development opportunities. Join us in this seminar to:
- Gain insights into the latest advancements and explore real-world case studies and examples of how AI is implemented.
- Connect with leading professionals in the field of animal health diagnostics and AI.
- Learn how to harness the potential of AI to improve animal health outcomes and contribute to the future of veterinary medicine.
- Position yourself as a forward-thinking leader by staying relevant with the latest technological advancements.
Seminar Agenda
1:30 - 1:45 p.m. Welcome
1:45 - 2:15 p.m. NGS-based Veterinary Diagnostics in the Era of AI
2:15 - 2:45 p.m. AI at the Crossroads Between Veterinary Diagnostic Pathology and Research: Animal Models, Neuropathic Pain, Chronic Hepatitides, and Equine Infertility
2:45 - 3:00 p.m. Break
3:00 - 3:30 p.m. AI for Host-pathogen Interactions, Target Discovery and Imaging Diagnostics
3:30 - 4:00 p.m. Improving Diagnostic Accuracy Using AI and Computer Vision in Veterinary Medicine
4:00 - 4:30 p.m. Panel Discussion and Topic-related questions
Registration
Registration for this seminar has closed.
Please reach out to Lauren Racki (laurenracki@ksu.edu or 913-307-7340) with any questions.
CE credits: Only those who attend the entire seminar synchronously will be eligible to receive continuing education credits.
Instructors and Topics
Doug Shane
Welcoming Remarks and Panel Moderator
Kansas State University - Olathe
Jayme Souza-Neto
NGS-based Veterinary Diagnostics in the Era of AI
KSU Veterinary Diagnostic Lab
Laura Miller
AI for Host-pathogen Interactions, Target Discovery and Imaging Diagnostics
KSU College of Veterinary Medicine
Tawfik Aboellail
AI at the Crossroads Between Veterinary Diagnostic Pathology and Research: Animal Models, Neuropathic Pain, Chronic Hepatitides, and Equine Infertility
KSU College of Veterinary Medicine
Peter Roper
Improving Diagnostic Accuracy Using AI and Computer Vision in Veterinary Medicine
Cambridge Technology, Inc.