AIMC Topic: Humans

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Prioritizing geochemical drivers of groundwater quality and health risks in coastal aquifers of Bangladesh using machine learning algorithms.

Environmental geochemistry and health
This study aims to evaluate key parameters of groundwater quality and associated health risks in three coastal aquifers of Cox's Bazar, Bangladesh, with a focus on manganese contamination and geochemical processes. A total of 288 groundwater samples ...

Prediction of Personalised Hypertension Using Machine Learning in Indonesian Population.

Journal of medical systems
This study aims to enhance individual hypertension risk prediction in Indonesia using machine learning (ML) models. The research investigates the predictive accuracy of models with and without incorporating personal hypertension history, seeking to u...

Predictive radiomics based ensemble machine learning approach in CT lung nodule diagnosis.

Journal of the Egyptian National Cancer Institute
BACKGROUND: Computed tomography imaging, a non-invasive tool, is used around the globe by medical professionals to identify and diagnose lung cancer; a lethal disease with high rates of occurrence and mortality globally. Radiomics extracted from medi...

Comparison of the completed and discontinued pediatric drug clinical trials in Mainland China: a cross-sectional analysis based on the data from 2003 to 2023.

BMC pediatrics
BACKGROUND: Pediatric drug clinical trials are essential for ensuring the accessibility and safety of medications intended for children. In recent years, the Chinese government has implemented various measures to foster the development of pediatric d...

A deep learning AI model for determining the relationship between X-Ray detectors and patient positioning in chest radiography.

PloS one
PURPOSE: The objective of this study was to create an artificial intelligence (AI) system capable of automatically detecting the positional relationship between an X-ray detector and the patient during anteroposterior chest radiography.

Dynamic supply-side multipliers in China's marine economy: A neural network-enhanced Ghosh model for sustainable development.

PloS one
With the continuous growth of China's economy, marine economy plays an increasingly important role in the national economy. This study quantifies multiplier effects and supply-side dynamics in China's marine economy (2017-2023) to inform sustainable ...

Malware detection using pre-trained transformer encoder with byte sequences.

PloS one
Ordinary users encounter various documents on the network every day, such as news articles, emails, and messages, and most are vulnerable to malicious attacks. Malicious attack methods continue to evolve, making neural network-based malware detection...

Non-invasive assessment techniques for renal fibrosis: advances and perspectives.

Renal failure
Renal fibrosis is a critical pathological process driving chronic kidney disease (CKD) and end-stage renal disease (ESRD). Early diagnosis is essential for timely intervention, yet traditional methods like renal biopsy are invasive and present signif...

Drivers of herpes zoster vaccine hesitancy in adults aged 50 and above: A machine learning approach.

Vaccine
BACKGROUND: Herpes zoster (HZ) poses a growing public health challenge among adults aged 50 and above, with vaccine hesitancy being a major barrier to improving immunization rates. Understanding the factors driving HZ vaccine hesitancy is essential f...

FragOPT: An ML-Driven Computational Workflow for Rational Fragments Optimization Toward Lead Compounds.

Journal of chemical information and modeling
Advances in machine learning (ML) offer significant potential to accelerate drug discovery. Although mathematical modeling and ML have become crucial in predicting drug-target interactions and properties, the complexity of chemical space and the "bla...