Pediatrics

Broadly active intranasal influenza vaccine with a nanocomplex particulate adjuvant targeting mast cells and toll-like receptor 9.

Flumist is the only FDA-approved intranasal influenza vaccine. Although it has recently been approve...

Development of Methods to Assess Readability in Health and Medical Information: A Scoping Review.

This study aimed to extract characteristics of studies involving development of readability measures...

Enhancing Vaccine Safety Surveillance: Extracting Vaccine Mentions from Emergency Department Triage Notes Using Fine-Tuned Large Language Models.

This study evaluates fine-tuned Llama 3.2 models for extracting vaccine-related information from eme...

Exploring Machine Learning for Predicting Peripheral and Central Precocious Puberty Through Cross-Hospital Validation.

Precocious puberty, including Peripheral Precocious Puberty (PPP) and Central Precocious Puberty (CP...

Enhancing Chronic Diabetes Care with Companion Robots in Rural Taiwan.

Managing chronic diabetes in rural Taiwan remains challenging due to limited medical access and low ...

Development and Validation of Machine-Learning Algorithms to Predict the Onset of Depression Using Electronic Health Record Data: A Prognostic Modeling Study.

INTRODUCTION: Early detection and intervention are crucial for reducing the impacts of depression an...

Predicting Postpartum Depression Risk Using Social Determinants of Health.

Postpartum depression (PPD) affects approximately 20% of women after childbirth and has complex etio...

Human in the Loop: Embedding Medical Expert Input in Large Language Models for Clinical Applications.

The state-of-the-art performance of large language models (LLMs) in medical natural language (NLP) t...

Pilot Application of a Large Language Model to Identify Hospitalisation from Unstructured Electronic Health Records in Residential Aged Care Facilities.

Older people in residential aged care facilities (RACFs) visit hospitals and utilise healthcare serv...

[From the integration of the internet and medicine to the synergy of artificial intelligence and medicine: my perspective on "future medicine" and the development of medical education].

On the occasion of the 110th anniversary of the Chinese Medical Association, this article reflects o...

Integrated multi-omics reveals the impact of ruminal keystone bacteria and microbial metabolites on average daily gain in Xuzhou cattle.

UNLABELLED: The rumen microbiome plays a crucial role in determining the metabolic and digestive eff...

Bioactive films with essential oils and machine learning for controlling Aspergillus niger growth and fumonisin B production in vitro.

Aspergillus niger is an important species in the fungal community of many foods and is one of the mo...

Deep learning-driven hyperspectral imaging for real-time monitoring and growth modeling of psychrophilic spoilage bacteria in chilled beef.

Owing to the unsound cold chain system in China, chilled beef's quality would be affected by psychro...

Response to "Determining Whether the Glymphatic System is Truly Impaired in Pediatric Patients With Refractory Epilepsy Requires Appropriately Designed Studies".

Prediction Model for Insulin Resistance and Implications for MASLD in Youth: A Novel Marker, the Pediatric Insulin Resistance Assessment Score.

PURPOSE: Insulin resistance (IR) is a condition closely associated with cardiovascular risk factors ...

[Applications, challenges and a trustworthy use of artificial intelligence in public health].

The rapid advancements in artificial intelligence (AI) over recent years have resulted in its integr...

[Artificial intelligence in preventive medicine for children and adolescents-applications and acceptance].

The use of artificial intelligence (AI) in pediatric and adolescent medicine offers numerous possibi...

Harnessing computational technologies to facilitate antibody-drug conjugate development.

Antibody-drug conjugates (ADCs) represent a powerful therapeutic approach for the treatment of a ran...

[Implementation of artificial intelligence (AI) in healthcare: historical development, current technologies and challenges].

The historical development of artificial intelligence (AI) in healthcare since the 1960s shows a tra...

A review of the journey of field crop phenotyping: From trait stamp collections and fancy robots to phenomics-informed crop performance predictions.

Crop phenotyping encompasses methodologies for measuring plant growth, architecture, and composition...

Applying exposure-response analysis to enhance Mycophenolate Mofetil dosing precision in pediatric patients with immune-mediated renal diseases by machine learning models.

BACKGROUND: Mycophenolate mofetil (MMF), a cornerstone immunosuppressant for lupus nephritis, is inc...