We study Alzheimer’s disease in mouse models and, in order to understand whether a mouse is experiencing symptoms associated with perhaps what would be dementia in people, we need to assess the mouse’s behavior. Conventional approaches would have us perhaps have the mouse solve a maze or something, in which we’re trying to determine whether it’s having a memory impairment...
We study Alzheimer’s disease in mouse models and, in order to understand whether a mouse is experiencing symptoms associated with perhaps what would be dementia in people, we need to assess the mouse’s behavior. Conventional approaches would have us perhaps have the mouse solve a maze or something, in which we’re trying to determine whether it’s having a memory impairment. Using these new machine learning methods, we’re able to assess the mouse’s what we call spontaneous or naturalistic behavior, in which the animal essentially walks around doing what it would like to do, which is actually an incredibly rich version of animal behavior. And by using the new machine learning approaches, we can identify subtle changes in the animal’s actions that are associated with disease progression and may be targeted when we’re trying to assess therapeutic efficacy.
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