Download full-text PDF

Source
http://dx.doi.org/10.1093/tropej/33.6.290DOI Listing

Publication Analysis

Top Keywords

algorithms growth
4
growth monitoring
4
monitoring nutritional
4
nutritional intervention
4
algorithms
1
monitoring
1
nutritional
1
intervention
1

Similar Publications

New Numerical Inversion Method to Improve the Spatial Accuracy of Elemental Imaging for LA-ICP-MS.

Anal Chem

January 2025

State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, PR China.

The elemental imaging of laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) provides spatial information on elements and therefore can further investigate the growth or evolution processes of an analyte. However, the accurate determination of spatial information is limited by the decoupling between the elemental distribution and mass spectrometry signals. This phenomenon, which is more distinct when high-diffusion ablation cells are used, arises from the overlap of ablation and the transport dispersion of aerosols.

View Article and Find Full Text PDF

As batteries drive the transition to electrified transportation and energy systems, ensuring their quality, reliability, lifetime, and safety is crucial. While the solid electrolyte interphase (SEI) is known to govern these performance characteristics, its dynamic nature makes understanding its nucleation, growth, and composition an ambitious, yet elusive aspiration. This work employs chalcogenide fibres embedded in negative electrode materials for operando Infra-red Fibre-optic Evanescent Wave Spectroscopy (IR-FEWS), combined with Multivariate Curve Resolution by Alternating Least Squares (MCR-ALS) algorithms for spectra analysis.

View Article and Find Full Text PDF

Purpose: Human epidermal growth factor receptor 2 (HER2)-targeted therapies have shown promise in treating -amplified metastatic colorectal cancer (mCRC). Identifying optimal biomarkers for treatment decisions remains challenging. This study explores the potential of artificial intelligence (AI) in predicting treatment responses to trastuzumab plus pertuzumab (TP) in patients with -amplified mCRC from the phase II TRIUMPH trial.

View Article and Find Full Text PDF

Introduction: The exponential growth of genomic datasets necessitates advanced analytical tools to effectively identify genetic loci from large-scale high throughput sequencing data. This study presents Deep-Block, a multi-stage deep learning framework that incorporates biological knowledge into its AI architecture to identify genetic regions as significantly associated with Alzheimer's disease (AD). The framework employs a three-stage approach: (1) genome segmentation based on linkage disequilibrium (LD) patterns, (2) selection of relevant LD blocks using sparse attention mechanisms, and (3) application of TabNet and Random Forest algorithms to quantify single nucleotide polymorphism (SNP) feature importance, thereby identifying genetic factors contributing to AD risk.

View Article and Find Full Text PDF

There has been remarkable growth in our understanding of the biologic behavior and molecular signature of thyroid malignancies, which has led to the introduction, application, and evolution of molecular testing of thyroid nodule FNA cytology. Next-generation sequencing molecular testing is an important, well-validated diagnostic tool for management of cytologically indeterminate thyroid nodules. It reduces unnecessary thyroid surgery for benign disease, avoiding associated surgical risks for the patient and reducing healthcare expenses.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!