High-throughput analysis of behavior for drug discovery

European Journal of Pharmacology

Volumn 750, Issue , 2015, Pages 82-89

  Alexandrov, Vadim ^a   Brunner, Dani ^a   Hanania, Taleen ^a   Leahy, Emer ^a  

^a PSYCHOGENICS INC   (United States)

Author keywords

Animal models; CNS; Computer vision; Drug screening; High throughput; Machine learning; NeuroCube; PhenoCube; Preclinical research; Smartcube; Social behavior

Indexed keywords

ANXIETY; ARTICLE; CIRCADIAN RHYTHM; CLINICAL EFFECTIVENESS; COGNITION; DATA ANALYSIS SOFTWARE; DISEASE MODEL; DRUG REPOSITIONING; DRUG SCREENING; GAIT; HIGH THROUGHPUT SCREENING; MACHINE LEARNING; MOTOR ACTIVITY; NONHUMAN; PHENOTYPE; PROCESS OPTIMIZATION; SOCIAL BEHAVIOR; ANIMAL; BEHAVIOR; DEVICES; DISEASE COURSE; DRUG EFFECTS; HUMAN; PROCEDURES;

ANIMALS; BEHAVIOR; DISEASE PROGRESSION; DRUG EVALUATION, PRECLINICAL; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; PHENOTYPE;

EID: 84922615924     PISSN: 00142999     EISSN: 18790712     Source Type: Journal    
DOI: 10.1016/j.ejphar.2014.11.047     Document Type: Article

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