AIMC Topic: Child Development

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What do we learn about development from baby robots?

Wiley interdisciplinary reviews. Cognitive science Dec 1, 2016
Understanding infant development is one of the great scientific challenges of contemporary science. In addressing this challenge, robots have proven useful as they allow experimenters to model the developing brain and body and understand the processe...
Psychology, Child Models, Biological Child Development Exploratory Behavior Humans Computer Simulation Learning Infant Robotics Walking
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Multiscale Modeling of Gene-Behavior Associations in an Artificial Neural Network Model of Cognitive Development.

Cognitive science Apr 3, 2015
In the multidisciplinary field of developmental cognitive neuroscience, statistical associations between levels of description play an increasingly important role. One example of such associations is the observation of correlations between relatively...
Language Development Humans Neural Networks, Computer Cognition Infant Models, Psychological Models, Genetic Child, Preschool Child Development Child
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Electroencephalography estimates brain age in infants with high precision: Leveraging advanced machine learning in healthcare.

NeuroImage May 15, 2025
Changes in the pace of neurodevelopment are key indicators of atypical maturation during early life. Unfortunately, reliable prognostic tools rely on assessments of cognitive and behavioral skills that develop towards the second year of life and afte...
Electroencephalography Child Development Male Infant Deep Learning Humans Female Cross-Sectional Studies Machine Learning Brain
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A scoping review and quality assessment of machine learning techniques in identifying maternal risk factors during the peripartum phase for adverse child development.

PloS one Jan 1, 2025
Maternal exposure to environmental risk factors (e.g., heavy metal exposure) or mental health problems during the peripartum phase has been shown to lead to negative and lasting impacts on child development and life in adulthood. Given the importance...
Humans Machine Learning Child Maternal Exposure Child Development Peripartum Period Pregnancy Female Risk Factors
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Using Artificial Intelligence to Identify the Associations of Children's Performance of Coloring, Origami, and Copying Activities With Visual-Motor Integration.

The American journal of occupational therapy : official publication of the American Occupational Therapy Association Sep 1, 2023
IMPORTANCE: Performance of coloring, origami, and copying activities reflects children's visual-motor integration (VMI), but the levels of association remain unclear.
Neuropsychological Tests Child Development Cross-Sectional Studies Male Humans Child, Preschool Artificial Intelligence Psychomotor Performance Female
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Free-living Evaluation of Laboratory-based Activity Classifiers in Preschoolers.

Medicine and science in sports and exercise May 1, 2020
UNLABELLED: Machine learning classification models for accelerometer data are potentially more accurate methods to measure physical activity in young children than traditional cut point methods. However, existing algorithms have been trained on labor...
Exercise Child, Preschool Support Vector Machine Walking Humans Reproducibility of Results Fitness Trackers Sedentary Behavior Child Development Games, Recreational Running Video Recording Accelerometry
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Robot Reinforcement and Error-Based Movement Learning in Infants With and Without Cerebral Palsy.

Physical therapy Jun 1, 2019
BACKGROUND: Prone mobility, central to development of diverse psychological and social processes that have lasting effects on life participation, is seldom attained by infants with cerebral palsy (CP) and has no tested interventions. Reinforcement le...
Child Development Male Infant Muscle, Skeletal Movement Prone Position Robotics Cerebral Palsy Humans Female
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Challenges and Opportunities for Increasing the Knowledge Base Related to Drug Biotransformation and Pharmacokinetics during Growth and Development.

Drug metabolism and disposition: the biological fate of chemicals Jul 1, 2016
It is generally acknowledged that there is a need and role for informative pharmacokinetic models to improve predictions and simulation as well as individualization of drug therapy in pediatric populations of different ages and developmental stages. ...
Adolescent Child, Preschool Child Adolescent Development Models, Biological Knowledge Bases Age Factors Pharmaceutical Preparations Infant, Newborn Humans Biotransformation Enzymes Gene Expression Regulation, Enzymologic Aging Pharmacokinetics Computer Simulation Gene Expression Regulation, Developmental Child Development Infant Membrane Transport Proteins
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Effect of Maternal Factors and Fetomaternal Glucose Homeostasis on Birth Weight and Postnatal Growth.

Journal of clinical research in pediatric endocrinology Sep 1, 2015
OBJECTIVE: It is important to identify the possible risk factors for the occurrence of large for gestational age (LGA) in newborns and to determine the effect of birth weight and metabolic parameters on subsequent growth. We aimed to determine the ef...
Child Development Placental Circulation C-Peptide Gestational Age Infant Female Humans Birth Weight Insulin Homeostasis Infant, Newborn Glycated Hemoglobin Case-Control Studies Prospective Studies Logistic Models Adult Blood Glucose Pregnancy
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