Environmental Health

Early electrocardiographic repolarization changes are associated with subclinical cancer therapy-related cardiac dysfunction in lymphoma patients: A machine learning-assisted longitudinal study.

UNLABELLED: Anthracycline-induced cardiotoxicity remains a significant clinical challenge. We evaluated longitudinal electrocardiographic (ECG) repolarization changes in 36 lymphoma patients receiving doxorubicin-based chemotherapy and explored their association with subclinical cancer therapy-related cardiac dysfunction (CTRCD) using an exploratory machine learning-assisted approach. Standard 12‑...

USEM: A Unified Model for Simultaneous Estimation of Multiple Nutrient Concentrations in Coastal Waters using Landsat 5/7/8 and Sentinel-2 imagery.

Accurate estimation of nutrient concentrations is vital for monitoring coastal eutrophication but remains challenging due to the lack of direct spectral features of nutrients and the constraints of single-sensor observations. To address these issues, this study proposed a unified simultaneous estimation model (USEM). The USEM model estimates four key nutrients-orthophosphate phosphorus (PO4P), dis...

AI fragmentation-based optimization of Sorafenib derivatives targeting VEGFR2 for angiogenesis-related pathologies: a structure-based in-silico study.

Vascular endothelial growth factor receptor 2 (VEGFR2) is a central regulator of angiogenesis and endothelial signaling and represents a validated the...

A cluster-aware synthetic resampling and machine learning framework for multi-class Air Quality Index classification.

The Air Quality Index (AQI) is a widely used indicator for assessing ambient pollution levels and associated health risks. However, AQI classification...

Algal Sentinel: a novel web application for early warning and forecasting of Ostreopsis cf. ovata blooms in the Italian Southern Adriatic Sea.

The toxic benthic dinoflagellate Ostreopsis cf. ovata causes harmful algal blooms (HABs) in the Apulia region of southern Italy. These HABs pose real ...

Construction of air quality health index based on multi-pollutant Bayesian kernel machine regression and deep learning early warning framework.

BACKGROUND: Efficient characterization and early warning of health risks associated with air pollution are critical issues in public health management...

Advancing Global Nursing Policy: AI-Driven Health Literacy Innovations for Migrant Domestic Workers.

AIM: This perspective proposes evidence-informed strategies to advance health literacy equity for migrant domestic workers (MDWs) globally, integratin...

Machine learning-based MPPT integration with quadratic double-extended DC-DC converter for grid-connected PV-powered BLDC electric vehicles.

To mitigate the environmental challenges posed by pollution and climate change, researchers are increasingly focused on developing highly efficient, e...

Satellite-Driven Modelling of NO2 and PM2.5 Across Germany (2019-2024): A Multi-Sensor Machine-Learning Approach.

Mapping air pollution across space remains challenging, even in countries with dense monitoring networks. In Germany, pollutant levels can change over...

Prediction of the joint toxicity of microplastics and organic pollutants on algae based on machine learning.

Complex joint toxicity driven by microplastic (MP)-organic pollutant mixtures in aquatic ecosystems remains poorly captured by conventional models. He...

Bacterial laccases for green remediation of contaminants of emerging concern: from molecular cloning to metagenomic and computational insights.

Contaminants of emerging concern (CECs) are increasingly recognized for their persistence, widespread occurrence, and potential risks to environmental...

Computational and AI-Driven Ecosystem for Structure-Based Covalent Drug Discovery.

ConspectusThe field of covalent drug discovery has witnessed a remarkable resurgence in recent years, a trend underscored by the approval of more than...

Advances in air quality modeling through artificial intelligence, machine learning, and deep learning: A comprehensive review.

Air quality modeling is undergoing a significant transformation, as machine learning (ML) and deep learning (DL) emerge to address the inherent limita...

Leveraging machine learning algorithm to predict minimum dietary diversity among children aged 6-23 months in Ethiopia.

Lack of nutrient-rich food consumption is considered an important underlying factor affecting the healthy development of children, and can lead to dev...

Hydrodynamic modulation of microplastic bioaccumulation in edible fish: Integrating biomarker networks, machine learning, and food safety perspectives.

Microplastic (MP) pollution poses increasing environmental and food safety risks, yet the role of hydrodynamics in MPs bioaccumulation and fish physio...

Sustainable All-Inorganic Double Perovskite Memristors Enabling Synaptic Learning and Cognitive Emulation.

Lead-free halide perovskites are emerging as sustainable alternatives for next-generation electronic and neuromorphic technologies. In this work, we p...

Molecular Representation and Closed-Loop Validation for Toxicity Assessment of Organic Compounds in Ambient Air PM2.5.

Although the health impacts of fine particulate matter (PM2.5) are primarily attributed to its chemically diverse composition rather than to mass conc...

Exploring Reddit Discourse and Information Needs Surrounding Extreme Heat: Topic, Sentiment, and Engagement Analysis.

BACKGROUND: As Canada's climate changes, extreme heat events have become more frequent, a trend that is expected to continue. Extreme heat can lead to...

Four-electrode ECG reconstruction using anatomically grounded synthetic leads: a physiological measurement framework with hybrid CNN-transformer mapping.

The standard 12-lead electrocardiogram (ECG) remains essential for cardiac diagnosis but requires ten physical electrodes, limiting long-term and...

Mitigating mammalian cell cytotoxicity of drinking water upon chlorination by conventional and advanced treatment processes.

Ozone (O3)-biological activated carbon (BAC) advanced treatment is increasingly applied after conventional coagulation-sedimentation for controlling t...