Pediatrics

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

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Correlation of Troponin Level (Troponin T, Troponin I) With PELOD-2 Score in Sepsis as a Predictive Factor of Mortality.

BACKGROUND: Sepsis in children with cardiovascular involvement can increase mortality. Recently, man...

A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients.

Heterogeneity in intratumoral cancers leads to discrepancies in drug responsiveness, due to diverse ...

Efficient expression of EpEX in the cytoplasm of using thioredoxin fusion protein.

Recombinant epithelial cell adhesion molecule extracellular domain (EpEX) has a high potential as a ...

Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies.

In conventional non-quantitative magnetic resonance imaging, image contrast is consistent within ima...

Propagation of uncertainty in the mechanical and biological response of growing tissues using multi-fidelity Gaussian process regression.

A key feature of living tissues is their capacity to remodel and grow in response to environmental c...

Broad-specificity ELISA with a heterogeneous strategy for sensitive detection of microcystins and nodularin.

A highly sensitive and broadly specific competitive indirect enzyme-linked immunosorbent assay (ciEL...

[Artificial Intelligence for the Development of Screening Parameters in the Field of Corneal Biomechanics].

Machine learning and artificial intelligence are mostly important if data analysis by knowledge-base...

Interaction of apigenin-7-O-glucoside with pyrimethamine against growth.

Apigenin-7-O-glucoside, a flavonoid glucoside known to inhibit cancer cell growth, fungi growth, bot...

A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level.

Understanding large-scale crop growth and its responses to climate change are critical for yield est...

Development and Validation of a Machine Learning Model to Aid Discharge Processes for Inpatient Surgical Care.

IMPORTANCE: Inpatient overcrowding is associated with delays in care, including the deferral of surg...

A novel hybrid atlas-free hierarchical graph-based segmentation of newborn brain MRI using wavelet filter banks.

: The newborn brain MRI (magnetic resonance imaging) tissue segmentation plays a vital part in asses...

A “human-proof pointy-end”: a robotically applied hemostatic clamp for care-under-fire.

Providing the earliest hemorrhage control is now recognized as a shared responsibility of all member...

Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture.

A deep learning classifier for detecting seizures in neonates is proposed. This architecture is desi...

Biocompatible liquid-type carbon nanodots (C-paints) as light delivery materials for cell growth and astaxanthin induction of Haematococcus pluvialis.

In this study, we aimed to demonstrate the feasibility of the application of biocompatible liquid ty...

Artificial Intelligence (AI) in Rare Diseases: Is the Future Brighter?

The amount of data collected and managed in (bio)medicine is ever-increasing. Thus, there is a need ...

[Hemoglobinuria in children hospitalized in Ouagadougou: short term inpatient care and prognosis].

INTRODUCTION: The purpose of this study was to analyze the epidemiological, diagnostic, therapeutic ...

Point-of-care cervical cancer screening using deep learning-based microholography.

Most deaths (80%) from cervical cancer occur in regions lacking adequate screening infrastructures o...

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