Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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Machine Learning Reveals Proteome-Encoded Growth Predictors of Rhodopseudomonas palustris CGA009 on Lignin Aromatics

Microbial utilization of lignin-derived aromatics requires extensive metabolic flexibility, yet grow...

A foundation model for microbial growth dynamics

Microbial growth dynamics contain rich information about microbial populations, which support applic...

De Novo Computational Design of VHH Nanobodies Against LGR5

VHH discovery traditionally relies on animal immunization or large-scale library screening, methods ...

Functional architecture of cardiac TF regulatory landscapes in control of mammalian heart development

Congenital heart disease (CHD), the most common human birth defect, often results from disruptions i...

Integrative multiomic analysis on single-nucleotide variants identifies candidate genes for human craniofacial malformation

Craniofacial malformation (CFM) is a congenital defect encompassing a wide range of phenotypic prese...

The expression level of CACNA1C-encoded CaV1.2 is a tipping point between promotion and inhibition of dendritic growth in neurons

The CACNA1C gene encodes the CaV1.2 L-type voltage-gated calcium channel, which plays a crucial role...

Comparative Evaluation of Advanced AI Reasoning Models in Pediatric Clinical Decision Support: ChatGPT O1 vs. DeepSeek-R1

The adoption of advanced reasoning models, such as ChatGPT O1 and DeepSeek-R1, represents a pivotal ...

Neuroprognostication via Spatially-Informed Machine Learning Following Hypoxic-Ischemic Injury

Can machine learning be used to reliably and accurately predict 18-month developmental outcomes from...

Assessing Large Language Model Performance Related to Aging in Genetic Conditions

Unlike some health conditions that have been extensively delineated throughout the lifespan, many ge...

Retinal vascularization rate predicts retinopathy of prematurity and remains unaffected by low-dose bevacizumab treatment

To assess the rate of retinal vascularisation derived from ultra-widefield (UWF) imaging-based retin...

From Patient Voices to Policy: Data Analytics Reveals Patterns in Ontario’s Hospital Feedback

Patient satisfaction is a central measure of high-performing healthcare systems, yet real-world eval...

Introducing and Evaluating the Patient Report Template for AI-Powered Nursing Handoffs

This study evaluates the effectiveness of the Patient Report Template (PRT) in addressing inefficien...

The lived experience of social anxiety disorder: A conceptual model based on published literature and social media listening

Social anxiety disorder (SAD) affects up to 1 in 8 individuals over their lifetime and is characteri...

A deep learning model for clinical outcome prediction using longitudinal inpatient electronic health records

Recent advances in deep learning show significant potential in analyzing continuous monitoring elect...

Using large language models to understand the public discourse towards vaccination in Brazil between January 2013 and December 2019

Vaccination against infectious diseases prevents diseases, saves lives, and reduces healthcare costs...

PH-LLM: Public Health Large Language Models for Infoveillance

The effectiveness of public health intervention, such as vaccination and social distancing, relies o...

Phenotyping Adolescent Endometriosis: Characterizing Symptom Heterogeneity Through Note- and Patient-Level Clustering

Pelvic pain (dysmenorrhea and non-menstrual) is the most common presentation of adolescent endometri...

Machine Learning Models for Dynamic Assessment of Extubation Readiness in Pediatric Critical Care

Determining the optimal timing for extubation in critically ill children remains challenging, with p...

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