AIMC Topic: Humans

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Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper.

PLoS computational biology
Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to one or several antibiotics. It has been suggested that...

The Utilization of Natural Language Processing for Analyzing Social Media Data in Nursing Research: A Scoping Review.

Journal of nursing management
This scoping review aimed to identify and synthesize the evidence in existing nursing studies that used natural language processing to analyze social media data, and the relevant procedures, techniques, tools, and ethical issues. Social media has w...

An appropriate DNA input for bisulfite conversion reveals LINE-1 and Alu hypermethylation in tissues and circulating cell-free DNA from cancers.

PloS one
The autonomous and active Long-Interspersed Element-1 (LINE-1, L1) and the non-autonomous Alu retrotransposon elements, contributing to 30% of the human genome, are the most abundant repeated sequences. With more than 90% of their sequences being met...

Risk factors and predictive model construction for lower extremity arterial disease in diabetic patients.

PloS one
OBJECTIVE: To understand the prevalence and associated risk factors of lower extremity arterial disease (LEAD) in Chinese diabetic patients and to construct a risk prediction model.

Accurate localization of indoor high similarity scenes using visual slam combined with loop closure detection algorithm.

PloS one
Accurate localization is a critical technology for the application of intelligent robots and automation systems in complex indoor environments. Traditional visual SLAM (Simultaneous Localization and Mapping) techniques often face challenges with loca...

Leveraging feature extraction and risk-based clustering for advanced fault diagnosis in equipment.

PloS one
In the contemporary manufacturing landscape, the advent of artificial intelligence and big data analytics has been a game-changer in enhancing product quality. Despite these advancements, their application in diagnosing failure probability and risk r...

Evaluation of the effect of cell freshness on pyrogen detection using a serum-free monocyte-activation test.

PloS one
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...