Rodent and fly models in behavioral neuroscience: An evaluation of methodological advances, comparative research, and future perspectives
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01.01.2021 |
Moulin T.C.
Covill L.E.
Itskov P.M.
Williams M.J.
Schiöth H.B.
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Neuroscience and Biobehavioral Reviews |
10.1016/j.neubiorev.2020.11.014 |
0 |
Ссылка
© 2020 The Authors The assessment of behavioral outcomes is a central component of neuroscientific research, which has required continuous technological innovations to produce more detailed and reliable findings. In this article, we provide an in-depth review on the progress and future implications for three model organisms (mouse, rat, and Drosophila) essential to our current understanding of behavior. By compiling a comprehensive catalog of popular assays, we are able to compare the diversity of tasks and usage of these animal models in behavioral research. This compilation also allows for the evaluation of existing state-of-the-art methods and experimental applications, including optogenetics, machine learning, and high-throughput behavioral assays. We go on to discuss novel apparatuses and inter-species analyses for centrophobism, feeding behavior, aggression and mating paradigms, with the goal of providing a unique view on comparative behavioral research. The challenges and recent advances are evaluated in terms of their translational value, ethical procedures, and trustworthiness for behavioral research.
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тезис
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Rodent and fly models in behavioral neuroscience: An evaluation of methodological advances, comparative research, and future perspectives
|
01.01.2021 |
Moulin T.C.
Covill L.E.
Itskov P.M.
Williams M.J.
Schiöth H.B.
|
Neuroscience and Biobehavioral Reviews |
10.1016/j.neubiorev.2020.11.014 |
0 |
Ссылка
© 2020 The Authors The assessment of behavioral outcomes is a central component of neuroscientific research, which has required continuous technological innovations to produce more detailed and reliable findings. In this article, we provide an in-depth review on the progress and future implications for three model organisms (mouse, rat, and Drosophila) essential to our current understanding of behavior. By compiling a comprehensive catalog of popular assays, we are able to compare the diversity of tasks and usage of these animal models in behavioral research. This compilation also allows for the evaluation of existing state-of-the-art methods and experimental applications, including optogenetics, machine learning, and high-throughput behavioral assays. We go on to discuss novel apparatuses and inter-species analyses for centrophobism, feeding behavior, aggression and mating paradigms, with the goal of providing a unique view on comparative behavioral research. The challenges and recent advances are evaluated in terms of their translational value, ethical procedures, and trustworthiness for behavioral research.
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Scope for the Application of Blockchain in the Public Healthcare of the Russian Federation
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01.01.2018 |
Koshechkin K.
Klimenko G.
Ryabkov I.
Kozhin P.
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Procedia Computer Science |
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3 |
Ссылка
© 2018 The Author(s). Blockchain as technology described to be used in closed Systems to conduct registers of official data in public healthcare. Also this technology had found its use in different other ways, for example it is education of medical staff, control of the contracts for healthcare ServiceS. And the role of Blockchain in CALS / PLM-technologies suggested.
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Digital technologies to improve effectiveness of pharmacotherapy
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01.01.2018 |
Koshechkin K.
Polikarpov A.
Radzievsky G.
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Procedia Computer Science |
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1 |
Ссылка
© 2018 The Author(s). Medical drugs interactions and adverse drug reactions are one of the major problems in pharmacotherapy. At the Sechenov University (Russia, Moscow), digital System for drug prescription management is being developed. Artificial intelligence methods to the control of drug therapy will greatly enhance the ability of the automated control System to identify potential problems in drug therapy and provide recommendations for their elimination. Introduction of this System into commercial operation will make it possible to translate the civil circulation of medicines into a single information space and increase the effectiveness of the ongoing pharmacotherapy.
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Application of artificial intelligence methods to recognize pathologies on medical images
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01.01.2018 |
Lebedev G.
Klimenko H.
Kachkovskiy S.
Konushin V.
Ryabkov I.
Gromov A.
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Procedia Computer Science |
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2 |
Ссылка
© 2018 The Author(s). The rapid development of graphics processing units (GPU) allowed to use in practice resource-intensive methods of artificial intelligence such as neural networkS. At present, the authors got preliminary results on detection of some forms of leukocyteS. The article presents the first results of the work.
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