Veterinary Health

Veterinary health research shares many similarities with human health: it involves analyzing claims data, clinical trial results, real-world evidence, and, increasingly, applying AI to clinical and behavioral data. But there are also key differences — patients are animals, not humans; regulatory frameworks vary across jurisdictions; and data infrastructure, funding models, and the adoption of innovation differ across the sector.

Precision Analytics brings deep experience from human health research into the veterinary space. We support animal health companies and researchers by:

• Analyzing veterinary claims and EMR data to identify patterns in diagnosis, treatment, and outcomes

• Designing and evaluating veterinary clinical trials using best practices from human trials

• Supporting AI/ML model development and validation, especially for image recognition, behavior monitoring, and disease detection tools

• Advising on study design, data quality, and analytical strategy within the context of veterinary regulatory and clinical practice norms

We know how to adapt rigorous, transparent research methods to the nuances of animal health while staying focused on scientific credibility and real-world application.

Our work has supported the development and validation of AI tools for assessing pain and mobility in companion animals, strengthened research strategies for companies operating at the intersection of animal health and technology, and leveraged deep experience working with animal models in translational research contexts. This foundation enables us to bridge methodological best practices from human and preclinical research into the veterinary space.

Whether you’re developing a new veterinary therapeutic, validating an AI model, or seeking to make sense of large-scale claims or EMR data, we can help. Our team is uniquely positioned to translate the standards of human health research into the world of animal health — spanning companion animals, livestock, and laboratory animals. Let us bring clarity, credibility, and analytical depth to your innovation efforts.