AIMC Topic: Enzyme-Linked Immunosorbent Assay
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Comprehensive analysis and experimental validation of BST1 as a novel diagnostic biomarker for pediatric sepsis using multiple machine learning algorithms.
European journal of pediatrics
Jun 25, 2025
Bone marrow stromal cell antigen-1 (BST1) expression is elevated in a variety of human diseases, but its relationship with pediatric sepsis is unclear. This study aimed to investigate the expression of BST1 in pediatric sepsis patients and its value ...
TimePAD─Unveiling Temporal Sequence ELISA Signal by Deep Learning for Rapid Readout and Improved Accuracy in a Microfluidic Paper-Based Analytical Platform.
Analytical chemistry
Feb 17, 2025
The integration of paper-based microfluidics with deep learning represents a pivotal trend in enhancing diagnostic capabilities. This paper introduces a new approach to improve the performance of a paper-based microfluidic enzyme-linked immunosorbent...
Analysis and validation of serum biomarkers in brucellosis patients through proteomics and bioinformatics.
Frontiers in cellular and infection microbiology
Jan 13, 2025
INTRODUCTION: This study aims to utilize proteomics, bioinformatics, and machine learning algorithms to identify diagnostic biomarkers in the serum of patients with acute and chronic brucellosis.
Evaluation of the effect of cell freshness on pyrogen detection using a serum-free monocyte-activation test.
PloS one
Dec 30, 2024
Pyrogens cause shock symptoms when released into the bloodstream. They are classified into two main categories: endotoxins (lipopolysaccharides [LPS]) and non-endotoxin pyrogens. The monocyte activation test (MAT) is an in vitro assay to detect pyrog...
Integration of Machine Learning and Experimental Validation to Identify Anoikis-Related Prognostic Signature for Predicting the Breast Cancer Tumor Microenvironment and Treatment Response.
Genes
Nov 12, 2024
Anoikis-related genes (ANRGs) are crucial in the invasion and metastasis of breast cancer (BC). The underlying role of ANRGs in the prognosis of breast cancer patients warrants further study. The anoikis-related prognostic signature (ANRS) was gene...
Gene Expression Profiling
Transcriptome
Real-Time Polymerase Chain Reaction
Reverse Transcriptase Polymerase Chain Reaction
Biomarkers, Tumor
Middle Aged
Antineoplastic Agents
Predictive Value of Tests
Drug Screening Assays, Antitumor
Gene Expression
Blotting, Western
Immunotherapy
Enzyme-Linked Immunosorbent Assay
Treatment Outcome
Databases, Genetic
Machine Learning
Prognosis
Female
Reproducibility of Results
Aged
Breast Neoplasms
Tumor Microenvironment
Imatinib Mesylate
Proportional Hazards Models
Anoikis
Pretrainable geometric graph neural network for antibody affinity maturation.
Nature communications
Sep 6, 2024
Increasing the binding affinity of an antibody to its target antigen is a crucial task in antibody therapeutics development. This paper presents a pretrainable geometric graph neural network, GearBind, and explores its potential in in silico affinity...
Rapid deep learning-assisted predictive diagnostics for point-of-care testing.
Nature communications
Feb 24, 2024
Prominent techniques such as real-time polymerase chain reaction (RT-PCR), enzyme-linked immunosorbent assay (ELISA), and rapid kits are currently being explored to both enhance sensitivity and reduce assay time for diagnostic tests. Existing commerc...
Salivary and serum levels of soluble E-cadherin in patients with gastrointestinal cancers: A comparative study.
Journal of cancer research and therapeutics
Apr 27, 2023
AIM: According to the literature, high levels of salivary soluble E-cadherin may be lined to advanced stage and poor prognosis in cancers. This research aimed at comparing salivary and serum levels of soluble E-cadherin in cases with esophageal, gast...
Deep learning-assisted ultra-accurate smartphone testing of paper-based colorimetric ELISA assays.
Analytica chimica acta
Jan 31, 2023
Smartphone has long been considered as one excellent platform for disease screening and diagnosis, especially when combined with microfluidic paper-based analytical devices (μPADs) that feature low cost, ease of use, and pump-free operations. In this...
Machine Learning to Quantify Humoral Selection in Human Lupus Tubulointerstitial Inflammation.
Frontiers in immunology
Nov 27, 2020
In human lupus nephritis, tubulointerstitial inflammation (TII) is associated with expansion of B cells expressing anti-vimentin antibodies (AVAs). The mechanism by which AVAs are selected is unclear. Herein, we demonstrate that AVA somatic hypermut...
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