NHP BehaviorAtlas Webinar | 3D NHP Behavioral Tracking For Drug Development - News

NHP BehaviorAtlas: High-Fidelity 3D NHP Behavioral Tracking

Transform complex non-human primate behaviors into quantitative, traceable, and translational drug development endpoints.

📅 Wednesday August 5, 2026

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Behavioral endpoints are among the most clinically relevant readouts in non-human primate studies. From scratching, pain responses, gait changes, hand movements, facial expressions, and disease-related activity patterns, NHP behaviors often provide direct functional evidence of disease progression and therapeutic response.

However, traditional behavioral assessment still relies heavily on manual observation, video review, and subjective scoring. These approaches can be time-consuming, labor-intensive, difficult to standardize, and limited in their ability to capture subtle or long-term behavioral changes.

AI-Powered 3D NHP Behavioral Tracking

In this joint webinar, Prisys and Bayone will introduce NHP BehaviorAtlas, a high-fidelity 3D NHP behavioral tracking platform designed to support modern preclinical drug development. By integrating multi-view video capture, 3D markerless pose estimation, behavioral kinematics, optic flow analysis, automated behavior classification, and disease model-specific behavioral databases, NHP BehaviorAtlas enables researchers to convert complex NHP behaviors into objective, quantitative, and actionable data.

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Key Topics

The limitations of manual NHP behavioral observation and video scoring

How high-fidelity 3D NHP tracking enables objective behavioral quantification

Multi-view capture, 3D markerless pose estimation, and behavioral kinematics

3D Grimace Scale and facial expression analysis for pain and discomfort assessment

Longitudinal behavioral monitoring for drug efficacy and disease progression studies

How Prisys and Bayone integrate NHP models with AI-powered behavioral analytics

Join the Webinar

Hardware setup and algorithm integration

Database of standard behaviors in non-human primates (NHPs) — Database of standard behaviors in NHPs

Database of behaviors related to disease models in NHPs

Algorithm-fusion based pruritus identification and counting

What You Will Learn

How high-fidelity 3D NHP tracking can be applied to real preclinical drug development challenges
How to design NHP studies with quantitative behavioral endpoints for more objective efficacy evaluation
How AI-based behavioral analysis can reduce manual workload, minimize observer bias, and improve data consistency
How Prisys and Bayone integrate NHP disease models, behavioral study design, multi-view data acquisition, AI-powered analytics, and translational interpretation into a unified solution

Who Should Attend?

This webinar may be relevant to professionals working in:

Translational medicine scientists
Preclinical pharmacology and efficacy study teams
CNS, neurodegeneration, and gene therapy researchers
Pain, pruritus, dermatology, and immunology researchers
Scientists working with NHP disease models and behavioral endpoints
Biotech and pharma teams developing therapies requiring functional efficacy readouts
Data science and AI teams applying computer vision to preclinical research

Quantitative NHP 3D Behavior Analytical System with Evolving AI-algorithm

Speakers

James Song

General Manager, PRISYS Biotech

As General Manager of Prisys Biotech, James Song leverages 20 years of experience in NHP pharmacology and disease modeling to accelerate the transition from lab to clinic. He is a specialist in navigating the complexities of translational medicine, with a proven track record in managing high-value asset restructuring and forging strategic international alliances. Under his leadership, Prisys has strengthened its global footprint through sophisticated laboratory infrastructure, unique NHP models, and integrated NHP breeding operations.

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