Pediatrics

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 adolescent substance use are highlighted. Going beyond assumptions of homogeneity in small studies of regional localization, the focus is on novel approaches that integrate across regions of the brain and levels of analysis in order to detect individual differences in use along with antecedents and co...

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 liquid birth supplement and a separate feeding supplement (Start Strong and Stay Strong, Ralco Inc., Marshall, MN). These products were designed to promote immunity and stimulate appetite to diminish health challenges and stresses experienced by newborn calves. The hypothesis was that calves supplemen...

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 and maximal production of recombinant proteins. High...

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 neural stem cells. However, such microinjection requi...

Intra- and Interspecies Variability of Single-Cell Innate Fluorescence Signature of Microbial Cell.

Here we analyzed the innate fluorescence signature of the single microbial cell, within both clonal and mixed populations of microorganisms. We found ...

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 detection, diagnosis, and prognosis. In addition to the...

NOVEL MUTATIONS IN AN INFANT WITH MICROCEPHALIC PRIMORDIAL DWARFISM, DILATED CARDIOMYOPATHY, SUBCLINICAL HYPOTHYROIDISM, AND EARLY DEATH: EXPANDING THE PHENOTYPE OF MUTATIONS.

OBJECTIVE: Microcephalic primordial dwarfism (MPD) is a group of clinically and genetically heterogeneous disorders which result in severe prenatal an...

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 the practical estimation of weight specific growth r...

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 achieving periodontal regeneration due to their no...

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 care units together provide unprecedented opportuni...

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, has remained elusive despite its relevance for tre...

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, exposure of the algae to uncontrollable elements imped...

Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations.

The use of deep learning (DL) for the analysis and diagnosis of biomedical and health care problems has received unprecedented attention in the last d...

Automated age estimation from MRI volumes of the hand.

Highly relevant for both clinical and legal medicine applications, the established radiological methods for estimating unknown age in children and ado...

Evolution and Current Applications of Robot-Assisted Fracture Reduction: A Comprehensive Review.

Robots in orthopedic surgery have been developed rapidly for decades and bring significant benefits to the patients and healthcare providers. However,...

Combining evolution and self-organization to find natural Boolean representations in unconventional computational media.

Designing novel unconventional computing systems often requires the selection of the computational structure as well as choosing the right symbol enco...

A Time-Embedding Network Models the Ontogeny of 23 Hepatic Drug Metabolizing Enzymes.

Pediatric patients are at elevated risk of adverse drug reactions, and there is insufficient information on drug safety in children. Complicating risk...

The effects of prebiotics on growth performance and in vitro immune biomarkers in weaned pigs.

The objective of the experiment was to investigate the effects of prebiotics in nursery pigs on growth performance and immune biomarkers. Sixty-four w...

Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis.

BACKGROUND: The assessment of bone age and skeletal maturity and its comparison to chronological age is an important task in the medical environment f...

Predicting ideal outcome after pediatric liver transplantation: An exploratory study using machine learning analyses to leverage Studies of Pediatric Liver Transplantation Data.

Machine learning analyses allow for the consideration of numerous variables in order to accommodate complex relationships that would not otherwise be ...