AIMC Topic: Child, Preschool

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Identification of proliferating neural progenitors in the adult human hippocampus.

Science (New York, N.Y.) Jul 3, 2025
Continuous adult hippocampal neurogenesis is involved in memory formation and mood regulation but is challenging to study in humans. Difficulties finding proliferating progenitor cells called into question whether and how new neurons may be generated...
Transcriptome Adolescent Child, Preschool Child Infant, Newborn Adult Male Infant Hippocampus Ki-67 Antigen Neurogenesis Dentate Gyrus Neural Stem Cells Single-Cell Analysis RNA-Seq Sequence Analysis, RNA Cell Proliferation Humans Machine Learning Female
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Deep learning strategies for semantic segmentation of pediatric brain tumors in multiparametric MRI.

Scientific reports Jul 2, 2025
Automated segmentation of pediatric brain tumors (PBTs) can support precise diagnosis and treatment monitoring, but it is still poorly investigated in literature. This study proposes two different Deep Learning approaches for semantic segmentation of...
Semantics Multiparametric Magnetic Resonance Imaging Child Image Processing, Computer-Assisted Glioma Humans Magnetic Resonance Imaging Brain Neoplasms Female Male Deep Learning Child, Preschool
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The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms.

Scientific reports Jul 2, 2025
Hematoporphyrin monomethyl ether-photodynamic therapy (HMME-PDT) is a safe and effective treatment for port-wine stain (PWS). Comprehensive methods for predicting HMME-PDT efficacy based on clinical factors are lacking. This study aims to develop and...
Humans Young Adult Child, Preschool Hematoporphyrins Adult Child Photosensitizing Agents Machine Learning Treatment Outcome Male Port-Wine Stain Algorithms Photochemotherapy Adolescent Retrospective Studies Female
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Attentional responses in toddlers: A protocol for assessing the impact of a robotic animated animal and a real dog.

PloS one Jul 2, 2025
BACKGROUND: Attentional processes in toddlers are characterized by a state of alertness in which they focus their waking state for short periods. It is essential to develop assessment and attention stimulation protocols from an early age to improve t...
Animals Photic Stimulation Humans Cognition Male Female Robotics Infant Dogs Child, Preschool Attention
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Expert-augmented machine learning for predicting extubation readiness in the pediatric intensive care unit.

BMC medical informatics and decision making Jul 1, 2025
BACKGROUND: Determining extubation readiness in pediatric intensive care units (PICU) is challenging. We used expert-augmented machine learning (EAML), a method that combines machine learning with human expert knowledge, to predict successful extubat...
Intensive Care Units, Pediatric Humans Airway Extubation Male Machine Learning Infant Electronic Health Records Child, Preschool Female Child
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Decoding the diagnostic biomarkers of mitochondrial dysfunction related gene variants in pediatric T cell acute lymphoblastic leukemia.

Scientific reports Jul 1, 2025
Mitochondrial dysfunction is crucial in the pathogenesis and drug resistance of pediatric T-cell acute lymphoblastic leukemia (T-ALL), a malignant hematological disorder with unrestrained proliferation of immature T-cells. Therefore, the primary obje...
MicroRNAs Mitochondria Humans Precursor T-Cell Lymphoblastic Leukemia-Lymphoma Female Gene Expression Regulation, Leukemic Child, Preschool Child Gene Regulatory Networks Biomarkers, Tumor RNA, Messenger Male Gene Expression Profiling Adolescent
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A comprehensive study based on machine learning models for early identification Mycoplasma pneumoniae infection in segmental/lobar pneumonia.

Scientific reports Jul 1, 2025
Segmental/lobar pneumonia in children following Mycoplasma pneumoniae (MP) infection has a significant threat to the children's health, so early recognition of MP infection is critical to reduce the severity and improve the prognosis of segmental/lob...
Male Infant Child, Preschool Child Early Diagnosis Pneumonia, Mycoplasma Mycoplasma pneumoniae Humans Machine Learning Algorithms Female
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GenAI exceeds clinical experts in predicting acute kidney injury following paediatric cardiopulmonary bypass.

Scientific reports Jul 1, 2025
The emergence of large language models (LLMs) opens new horizons to leverage, often unused, information in clinical text. Our study aims to capitalise on this new potential. Specifically, we examine the utility of text embeddings generated by LLMs in...
Cardiopulmonary Bypass Postoperative Complications Infant Child, Preschool Child Acute Kidney Injury Electronic Health Records Female Male Humans Algorithms
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Personalized azithromycin treatment rules for children with watery diarrhea using machine learning.

Nature communications Jul 1, 2025
We use machine learning to identify innovative strategies to target azithromycin to the children with watery diarrhea who are most likely to benefit. Using data from a randomized trial of azithromycin for watery diarrhea (NCT03130114), we develop per...
Azithromycin Child, Preschool Child Diarrhea Treatment Outcome Humans Machine Learning Anti-Bacterial Agents Precision Medicine Female Male Infant
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Fully automated measurement of paediatric cerebral palsy pelvic radiographs with BoneFinder : external validation using a national surveillance database.

The bone & joint journal Jul 1, 2025
AIMS: BoneFinder is a machine-learning tool that can automatically calculate Reimers migration percentage (RMP) and head-shaft angle (HSA) from paediatric cerebral palsy (CP) pelvic radiographs. This study's primary aim was to compare BoneFinder's fu...
Humans Machine Learning Databases, Factual Adolescent Child, Preschool Child Pelvic Bones Female Reproducibility of Results Male Infant Radiography Cerebral Palsy
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