Pediatrics

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

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Laparoscopic resection of choledochal cysts in adults: a series from Turkey.

OBJECTIVES: Choledochal cyst is a congenital disease in which surgical treatment is preliminary beca...

[E-health and "Cancer outside the hospital walls", Big Data and artificial intelligence].

To heal otherwise in oncology has become an imperative of Public Health and an economic imperative i...

Optimization of Growth Medium and Fermentation Conditions for the Production of Laccase3 from Using Recombinant .

Statistical experimental methods were used to optimize the medium for mass production of a novel lac...

Methodological Advances in Leveraging Neuroimaging Datasets in Adolescent Substance Use Research.

PURPOSE OF REVIEW: Recent innovations in the statistical analysis of neuroimaging data related to ad...

Effect of Lower Third Molar Segmentations on Automated Tooth Development Staging using a Convolutional Neural Network.

Staging third molar development is commonly used for age estimation in subadults. Automated developm...

Evaluation of essential oils and a prebiotic for newborn dairy calves.

A blend of essential oils (EO) and a prebiotic were combined (EOC) to formulate a colostrum-based li...

Growth Inhibitory and Pro-Apoptotic Effects of Ornamental Pomegranate Extracts in Du145 Human Prostate Cancer Cells.

Prostate cancer is the most common form of cancer in the male. Epidemiological studies have associa...

High cell density transient transfection of CHO cells for TGF-β1 expression.

High cell densities for transient transfection with polyethyleneimine (PEI) can be used for rapid an...

Artificial intelligence in radiology: the ecosystem essential to improving patient care.

The rapid development of artificial intelligence (AI) has led to its widespread use in multiple indu...

Robotic platform for microinjection into single cells in brain tissue.

Microinjection into single cells in brain tissue is a powerful technique to study and manipulate neu...

Image-based Classification of Tumor Type and Growth Rate using Machine Learning: a preclinical study.

Medical images such as magnetic resonance (MR) imaging provide valuable information for cancer detec...

Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency.

The neural computational model GrowthEstimate is introduced with focusing on new perspectives for th...

Artificial intelligence as an emerging technology in the current care of neurological disorders.

BACKGROUND: Artificial intelligence (AI) has influenced all aspects of human life and neurology is n...

Effect of lipopolysaccharide on cell proliferation and vascular endothelial growth factor secretion of periodontal ligament stem cells.

PURPOSE: Periodontal ligament stem cells (PDLSCs) have considerable potential for use as a means of ...

Prediction model development of late-onset preeclampsia using machine learning-based methods.

Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the ...

From Discrete to Continuous Modeling of Lymphocyte Development and Plasticity in Chronic Diseases.

The molecular events leading to differentiation, development, and plasticity of lymphoid cells have ...

A deep learning model for real-time mortality prediction in critically ill children.

BACKGROUND: The rapid development in big data analytics and the data-rich environment of intensive c...

An Integrated Fuzzy AHP and Fuzzy TOPSIS Approach to Assess Sustainable Urban Development in an Emerging Economy.

Sustainable urban development (SUD) requires a balance between economic growth, social well-being, a...

Machine learning-based prediction of breast cancer growth rate in vivo.

BACKGROUND: Determining the rate of breast cancer (BC) growth in vivo, which can predict prognosis, ...

Increasing productivity of Spirulina platensis in photobioreactors using artificial neural network modeling.

Although production of microalgae in open ponds is conventionally practiced due to its economy, expo...

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