JAX Envision™ Continuous Monitoring. Confident Scientific Insight.

Biology is inherently complex, variable, and shaped by many confounding factors. Yet most preclinical studies rely on episodic, low-resolution measurements that capture isolated moments and miss the optimal responses that occur over time in biological systems. This results in low-sensitivity measurements that miss the vital biological signal. Additionally, these reductionist approaches fail to consider the multidimensional nature of the systems they study.

This results in research plagued by inconclusive outcomes with drug approval rates near 10% (Schuhmacher et al 2025), and efficacy failures driving half of project terminations (Sun et al 2022). In fact more than half of published animal studies cannot be reliably reproduced (von Kortzfleisch et al 2024).

Removing Limitations

Combining continuous measurement and an approach that accounts for the multidimensional nature of biological systems requires the systematic application of AI models to be data streamed from digital devices. There were no elegant solutions to transform continuous observations into reliable measures and perform the required analysis at the pace at which biology actually occurs until now.

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The Envision Platform was built on the foundation that biology observed as an integrated, continuous system produces insight you can trust. Envision processes data from the Allentown's Discovery™ IVC Home Cage enabling continuous recording of animals in their group housed cage environment. Changes in activity and physiology are analyzed by stringently developed AI algorithms to provide reliable actionable outputs.

• Be confident in your results knowing that the measures have been rigorously validated for preclinical animal research
• Develop a more thorough understanding of the biological response by characterizing animal behavior and physiology at the systemic level
• Ensure optimal observations by measuring activity throughout the sleep and wake cycles
• Review saved comprehensive video or reanalyze to take advantage of new insights and measures

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Discriminating The Previously Indistinguishable, A Case Study

Behavioral phenotyping in Rett models is especially challenging. Key features like motor deficits, cognitive impairment, and repetitive behaviors can be subtle. The standard approach in Rett is the Bird score, which measures, gait, mobility, breathing and general condition.

Performing a study with both conventional observational methods and the continuous activity scores from the Envision Platform yielded the following important observations that were not discernable with conventional measures alone.

• It was easy to characterize the impact of the putative therapeutic compound
• There was a clearer reproducible difference in activity between the wild type and knockout subjects over the entire time course
• A measurable difference in disease progression with discernable patterns observed between different doses

Figure 1: Optimized Rett syndrome disease progression analysis with Envision
Bird score data (cumulative score for observed activity) for WT and Mecp2 KO males evaluated with varying doses of a putative therapeutic compound. More significant differences in disease progression are detected with the Envision continuous monitoring system over the standard Bird Score measure.

Beyond The Limits Of Standard Measures

Envision captures the complexity of biological systems by characterizing continuous data and isolating changes relevant to the study. The following summarizes the limitations of standard behavioral measures and how Envision addresses these concerns.

• Variability operates at two distinct levels that standard measures cannot distinguish
  • At the individual level, continuous monitoring captures biological changes as they occur
  • At the population level, multidimensional relational analysis separates meaningful coordinated responses from individual variation that is unrelated to your experimental conditions
• Confounding factors
  • Remote digital monitoring eliminates handling-induced confounds entirely
  • Confounding observations that are unrelated to the study conditions are identified through multidimensional relational analysis and isolated from relevant signal
• Continuous capture of many interdependent observations delivers statistical depth that episodic methods cannot match without adding animals, sessions, or cost

Validated Digital Measures Set Envision Apart

The rigorous methodology used to develop the Envision platform's Validated Digital Measures ensures that you are not evaluating correlations, or artifacts.

• Rigorous 3 pillar methodology ensures measurements reliably represent behavior
• Developed by The Jackson Laboratory experts in animal behavior and data science
• Supported by The Jackson Laboratory scientists and support team

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Exceptional Visibility of Animal Health

Envision continuously, remotely and reliably measures key measures of animal health to provide exceptional insight on the status of individuals, cages and the entire population housed within the platform. Once animals are housed in Envision, husbandry staff can benefit from the simple outputs provided by the software to detect any negative trends in animal welfare.

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Purpose Built Digital Measures Platform

JAX Envision, is a secure, cloud platform accessible within a standard web browser. Build, manage your studies, and analyze your digital measure from a single application.