FEB 13, 2019 12:00 PM PST

Automatic Detection and Classification of Behaviour in Laboratory Animals

C.E. Credits: RACE
Speaker
  • Founder & Chief Operating Officer, Naason Science, Inc.
    Biography
      Patrick is co-counder and COO of Naason Science Inc. He has served as CEO, Managing Director of Neurology and Director of Business Development at Charles River Finland. Prior to that he founded a CNS focussed CRO which got acquired by Charles River. He has unparalleled experience in the discovery and development of new drugs, with a particular focus on the CNS.

    Abstract

    Animal welfare is the most important issue in any in vivo laboratory. The ability to detect and intervene in cases where the conditions of animals may be deteriorating as well as the ability ensure that undue stress and anxiety are avoided is of paramount importance. Remembering that rodents, despite the fact that they are in the laboratory setting, are social creatures and respond adversely to disruption in their routines through undue handling and or disruption of circadian rhythm is important to ensuring the quality of subsequent in vivo studies in cognition, function and behaviour. It is for this reason that longitudinal monitoring of group housed animals is required. We have shown here salient examples of what occurs when animals are not being directly observed and how animal behaviour can be observed and monitored at in their home cage and at the times when they are most likely to manifest behaviours that are more than likely true to their behavioural phenotype. In addition, we show how grouped housing and minimal handling can be achieved in order to contribute to the 3R ethos as well as impact directly on the quality of the data that is generated from in vivo experiments.

    Learning Objectives: 

    1. How remote monitoring in the home-cage of grouped housed animal is achieved
    2. How this technology can contribute to both animal welfare and the quality of in vivo studies through rapid intervention and earlier recognition of humane end-points


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    FEB 13, 2019 12:00 PM PST

    Automatic Detection and Classification of Behaviour in Laboratory Animals

    C.E. Credits: RACE

    Specialty

    Animal Models

    Animal Research

    Animal Sciences

    Animal Behavior

    Life Science

    Animals

    Lab Animals

    Veterinary Sciences

    Research

    Neuroscience

    Cancer Research

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