Pediatrics

Drug repurposing to identify potential FDA-approved drugs targeting three main angiogenesis receptors through a deep learning framework.

Tumor cell survival depends on the presence of oxygen and nutrients provided by existing blood vesse...

Unmet needs in autoimmune liver diseases.

Autoimmune hepatitis, primary biliary cholangitis, and primary sclerosing cholangitis are well-defin...

Prediction of B/T Subtype and ETV6-RUNX1 Translocation in Pediatric Acute Lymphoblastic Leukemia by Deep Learning Analysis of Giemsa-Stained Whole Slide Images of Bone Marrow Aspirates.

BACKGROUND: Accurate determination of B/T-cell lineage and the presence of the ETV6-RUNX1 translocat...

Deep learning models link local cellular features with whole-animal growth dynamics in zebrafish.

Animal growth is driven by the collective actions of cells, which are reciprocally influenced in rea...

Genetic Risk Scores in Stroke Research and Care.

Stroke remains a leading cause of death and disability worldwide. While well-established risk factor...

RIPTOSO: The development of a screening tool for adverse events during forensic-psychiatric inpatient treatments of offenders with schizophrenia spectrum disorders.

Adverse events such as compulsory measures, absconding, illicit substance use, self-harm, aggressive...

Artificial Intelligence in Pediatrics: An Opportunity to Lead, not to Follow.

AI-Driven Dental Caries Management Strategies: From Clinical Practice to Professional Education and Public Self Care.

Dental caries is one of the most prevalent chronic diseases among both children and adults, despite ...

Using machine learning approach to predict suicide ideation and suicide attempts among Chinese adolescents: A cross-sectional study.

BACKGROUND: Screening for suicide ideation and suicide attempts is crucial for adolescents, yet accu...

Prediction of first attempt of suicide in early adolescence using machine learning.

BACKGROUND: Suicide is the second leading cause of death among early adolescents, yet the first onse...

Fast and Stable Neonatal Brain MR Imaging Using Integrated Learned Subspace Model and Deep Learning.

OBJECTIVE: To enable fast and stable neonatal brain MR imaging by integrating learned neonate-specif...

Heart Rate and Body Temperature Relationship in Children Admitted to PICU: A Machine Learning Approach.

UNLABELLED: Vital signs are crucial clinical measures, with body temperature (BT) and heart rate (HR...

Deployment of a Machine Learning Algorithm in a Real-World Cohort for Quality Control Monitoring of Human Epidermal Growth Factor-2-Stained Clinical Specimens in Breast Cancer.

CONTEXT.—: Precise determination of biomarker status is necessary for clinical trial enrollment and ...

Applications of artificial intelligence and advanced imaging in pediatric diffuse midline glioma.

Diffuse midline glioma (DMG) is a rare, aggressive, and fatal tumor that largely occurs in the pedia...

Nucleation and Growth Mechanisms of Micro/Nano Structural Manganese-Trimesic Acid Coordinations for Aqueous Zinc-Ion Batteries.

Nucleation and growth of metal-organic frameworks (MOFs) are critical for controlling their morpholo...

Physics-Based Inverse Modeling of Battery Degradation with Bayesian Methods.

To further improve lithium-ion batteries, a profound understanding of complex battery processes is c...

Droplet microfluidics integrated with machine learning reveals how adipose-derived stem cells modulate endocrine response and tumor heterogeneity in ER breast cancer.

Approximately 70% of breast cancer (BC) diagnoses are estrogen receptor positive (ER) with ∼40% of E...

Utilizing Machine Learning to Improve Neutralization Potency of an HIV-1 Antibody Targeting the gp41 N-Heptad Repeat.

The N-heptad repeat (NHR) of the HIV-1 gp41 prehairpin intermediate (PHI) is an attractive potential...

Exosomal Gene Biomarkers in Osteosarcoma: Mifepristone as a Targeted Therapeutic Revealed by Multi-Omics Analysis.

Osteosarcoma (OS) is an aggressive bone cancer that mainly occurs in children and adolescents. OS pa...

Navigating FDA Regulations for the Development of Artificial Intelligence Technologies in Plastic Surgery.

Artificial intelligence (AI) technologies are rapidly transforming the field of plastic surgery, off...

Artificial intelligence in pediatric sleep staging: a new era or a complementary tool?