Pediatrics

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

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Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media

Tracking and acquiring simultaneous optical images of randomly moving targets obscured by scatteri...

Digital audiovisual archives in humanities

This report, authored in 2003, presents an innovative approach to the management and utilization o...

Synthetic Fungi Datasets: A Time-Aligned Approach

Fungi undergo dynamic morphological transformations throughout their lifecycle, forming intricate ...

COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database

Retinal image registration is vital for diagnostic therapeutic applications within the field of op...

BindingDB in 2024: a FAIR knowledgebase of protein-small molecule binding data.

BindingDB (bindingdb.org) is a public, web-accessible database of experimentally measured binding af...

Jan 2025 39574417
A Shape-Based Functional Index for Objective Assessment of Pediatric Motor Function

Clinical assessments for neuromuscular disorders, such as Spinal Muscular Atrophy (SMA) and Duchen...

Iris Recognition for Infants

Non-invasive, efficient, physical token-less, accurate and stable identification methods for newbo...

New Directions for Ophthalmic OCT - Handhelds, Surgery, and Robotics.

The introduction of optical coherence tomography (OCT) in the 1990s revolutionized diagnostic ophtha...

Jan 2025 39808124
A Biologically Inspired Attention Model for Neural Signal Analysis

Understanding how the brain represents sensory information and triggers behavioural responses is a f...

Neural Timescale of Adolescents Major Depressive Disorder

Adolescent major depressive disorder (MDD) is characterized by heterogeneous symptomatology and comp...

Model-informed Deep Q-Networks to Guide Infliximab Dosing in Pediatric Crohn’s Disease

Model-informed precision dosing (MIPD) utilizes pharmacokinetic/pharmacodynamic (PK/PD) models to op...

Closing the loop: Teaching single-cell foundation models to learn from perturbations

The application of transfer learning models to large scale single-cell datasets has enabled the deve...

CanID: a robust and accurate RNAseq Expression-based diagnostic classification scheme for pediatric malignancies

Cancer subtype classification is critical for precision therapy and there is a growing trend of augm...

A systematic protocol to identify “clinical controls” for pediatric neuroimaging research from clinically acquired brain MRIs

Progress at the intersection of artificial intelligence and pediatric neuroimaging necessitates larg...

The development of FEDUPP: Feeding Experimentation Device Users Processing Package to Assess Learning and Cognitive Flexibility

Cognitive flexibility, the ability to adapt behavior in response to changing contingencies, is a key...

Can large language models reliably extract human disease genes from full-text scientific literature?

Manual extraction of high-fidelity gene-disease-phenotype information from human genetics literature...

Comparative Machine Learning Analysis of Saliva and Plaque Microbiomes in Children with Type 1 Diabetes

Type 1 diabetes (T1D) is associated with microbial dysbiosis. While most research has focused on the...

Biomarker Discovery via Integrative Multi-omics for Children exposed to Humidifier Disinfectant

Exposure to humidifier disinfectants has been linked to an array of pulmonary disorders and diminish...

Language network functional connectivity in infancy predicts developmental language trajectories

Although developmental language delays affect approximately 10% of children in the general populatio...

VASCilia (Vision Analysis StereoCilia): A Napari Plugin for Deep Learning-Based 3D Analysis of Cochlear Hair Cell Stereocilia Bundles

Cochlear hair cells are essential for hearing, and their stereocilia bundles are critical for mechan...

Retrospective image analysis for long-term demography using Google Earth imagery

Ecosystems are rapidly degrading. Widely used approaches to monitor ecosystems to manage them effect...

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