Pediatrics

Development and validation of a machine learning-based model for predicting intraoperative blood loss during burn surgery.

BACKGROUND: Intraoperative blood loss is a critical issue in the care of patients with burns. The ti...

The Innovation Paradox in Emerging Pharmaceutical Markets: Barriers and Opportunities for Sustainable Development.

Emerging pharmaceutical markets like Brazil, India, and China have seen significant growth due to ri...

The Adoption and Use of Artificial Intelligence and Machine Learning in Clinical Development.

BACKGROUND: The use of artificial intelligence (AI) and machine learning (ML) in drug discovery has ...

Kinetically Limited Growth of Dendritic Tin Oxide Thin Films: a Machine Learning Study beyond the Structure Zone Diagram.

Even after fifty years since its introduction, the empirical Thornton's structure zone diagram remai...

Predicting abnormal fetal growth using deep learning.

Ultrasound assessment of fetal size and growth is the mainstay of monitoring fetal well-being during...

A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean Delivery.

Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging tas...

Development of a machine learning-based predictive nomogram for screening children with juvenile idiopathic arthritis: a pseudo-longitudinal study of 223,195 children in the United States.

BACKGROUND: Juvenile idiopathic arthritis (JIA) is a prevalent chronic rheumatological condition in ...

Multimodal Machine Learning Analysis of GaSe Molecular Beam Epitaxy Growth Conditions.

Autonomous synthesis platforms integrating machine learning with in situ diagnostics have the potent...

Artificial intelligence in pediatric intensive care: unlocking integrated monitoring for autonomic nervous system dysregulation.

Spatiotemporal Interrogation of Single Spheroids Using Multiplexed Nanoplasmonic-Fluorescence Imaging.

Advances in organoid models, as ex vivo mini-organs, and the development of screening imaging techno...

Comparative Evaluation of ChatGPT and ChatGLM Performance in Response to Common Queries on Pediatric Atopic Dermatitis.

BACKGROUND: Atopic dermatitis (AD) is a prevalent chronic and recurrent skin condition in children. ...

Machine learning-driven bioavailability prediction in early-stage drug development: a KNIME-based computational workflow for digital health applications.

Bioavailability prediction remains a significant challenge in early-stage drug development, where co...

as a favorable prognostic biomarker in pediatric osteosarcoma: an integrated analysis of machine learning, bioinformatics, and validation experiments.

BACKGROUND: Osteosarcoma (OS), the most common pediatric bone tumor, faces challenges with frequent ...

Can ChatGPT Counter Vaccine Hesitancy? An Evaluation of ChatGPT's Responses to Simulated Queries from the General Public.

Vaccines have eradicated deadly diseases, yet vaccine hesitancy persists, leading to reduced uptake...

A Bibliometric Review of Person-Centered Care Research 2010-2024.

: Person-centered care (PCC) has become a pivotal concept in healthcare. At present, no published st...

Perinatal responsibility in a fragmented world: reflections from the 2024 international academy of perinatal medicine New York meeting.

This editorial introduces the Special Issue of the Journal of Perinatal Medicine dedicated to the 20...

Deep Learning Auto-segmentation of Diffuse Midline Glioma on Multimodal Magnetic Resonance Images.

Diffuse midline glioma (DMG) H3 K27M-altered is a rare pediatric brainstem cancer with poor prognosi...

Comparison of ChatGPT-4, Microsoft Copilot, and Google Gemini for Pediatric Ophthalmology Questions.

PURPOSE: To evaluate the success of Chat Generative Pre-trained Transformer (ChatGPT; OpenAl), Googl...

Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...

Development of AI-integrated smartphone sponge-based sensors utilizing His@Co-NC nanozymes for highly sensitive sarcosine detection.

The increasing demand for point-of-care detection of low-concentration cancer biomarkers has necessi...

Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination response.

BACKGROUND: Despite decades of research on the influenza virus, we still lack a predictive understan...