Seminar to provide overview on AI in animal health fields and opportunity for discussion
Wednesday, June 26, 2024 | Written by Beth Jones
OLATHE — Join K-State Olathe and faculty from the College of Veterinary Medicine from 1:30 - 4:30 p.m. on July 24 for Artificial Intelligence in Animal Health Diagnostics.
AI is making an impact in every field, including the world of animal health diagnostics. Standardizing interpretations of diagnostic results is one key attribute of using AI in research and clinical settings. Understanding AI is becoming increasingly important as AI continues to grow in the field of diagnostic innovation in animal health research and product development.
According to Grandview Research, the animal health industry is expected to grow at a compound annual growth rate (CAGR) of 19.09% from 2023 to 2030, and the American Association of Industry Veteranians notes that nearly 30% of surveyed veterinarians already use AI in their daily practice.
Speakers for the seminar include the following faculty from the College of Veterinary Medicine and K-State Olathe as well as a represtatives from Noblis Inc.:
- Tawfik Aboellail, Ph.D., clinical professor in the Kansas State Veterinary Diagnostic Laboratory, or KSVDL;
- Laura Miller, Ph.D., associate professor of veterinary virology in the College of Veterinary Medicine;
- Doug Shane, Ph.D., teaching assistant professor of animal health at K-State Olathe;
- Jayme Souza-Neto, Ph.D., assistant professor at the KSVDL and department of diagnostic medicine/pathobiology, head of the Next Generation Sequencing Section of KSVDL and the assistant director of the Molecular and Cell Biology Core in the College of Veterinary Medicine.
Registrants will attend sessions on NGS-based veterinary diagnostics in the era of AI; AI at the crossroads between veterinary diagnostic pathology and research; AI for host-pathogen interactions, target discovery and imaging diagnostics; and AI for field-deployable POC pathogen identification and monitoring.
The event will conclude with a panel discussion.
With an investment of $125, registrants may attend in-person or online. Click here to join us.