Environmental Health

Integrative network toxicology and single-cell analysis implicates a potential TGFBR1-centered fibroblast remodeling axis in Benzo[a]pyrene-related atrial fibrillation.

BACKGROUND: Benzo[a]pyrene (BaP), an air pollution-related polycyclic aromatic hydrocarbon, may intersect with molecular pathways relevant to atrial fibrillation (AF), but this relationship remains unclear. OBJECTIVES: To examine whether predicted BaP targets overlap with molecular and cellular remodeling features in human AF-related atrial datasets. METHODS: Five AF microarray datasets and one si...

Diversity of Iodinated Water Disinfection Byproducts and Their Formation Dynamics Discovered Using Exposome-Scale Nontargeted Analysis and Machine Learning.

Water disinfection is critical to minimizing microbial risk, but unintentionally produces disinfection byproducts (DBPs). Exposure to the currently regulated chloro- and bromo-DBPs in water cannot fully account for the health effects observed from epidemiological studies. Iodinated disinfection byproducts (I-DBPs) are among the most toxic DBPs, but they have not been fully characterized because of...

Explainable AI in Electrocatalysis and Photocatalysis: From Catalyst Design to Mechanistic Insights.

Artificial intelligence (AI) has progressed across multiple scientific disciplines, particularly transforming catalytic science by enabling data-drive...

The Cancer Metallome Continuum: A Framework for Understanding Metal Dysregulation from Carcinogenesis to Therapeutic Resistance.

Metals and metalloids play essential roles in cancer biology, influencing redox balance, epigenetic regulation, immune responses, and cell death throu...

Cyanobacteria as biochemical treasure troves: unveiling bioactive metabolites for pharmaceutical and global sustainability.

Cyanobacteria, among the most ancient and versatile microorganisms on Earth, thrive across different aquatic ecosystems, ranging from freshwater to ma...

Quercetin derivatives from Camellia sinensis for the discovery of anticancer compound against P-glycoprotein-mediated multidrug resistance: a computational approach.

Cancer is an ongoing severe health complication and public health concern. Efforts have been made to overcome this; however, the emergence of multidru...

Decoding silica nanoparticle toxicity: integrating machine learning, feature importance, rule extraction, and adsorption-uptake processes.

The complexity of nanoparticle toxicity necessitates applying machine learning to large toxicological datasets to identify predictive features and tox...

Environmental constraints on freshwater red algae in Estonian streams: Insights from long-term observations and machine-learning models.

The division Rhodophyta (red algae) includes an inconspicuous and often overlooked component of benthic freshwater biota. In many cases, freshwater re...

Latest Insights and New Horizons: Recent Advances on Metal-Organic Framework-Driven Sensors for Rapid Early Warning of Mycotoxins in Foods.

In recent years, the harm caused by mycotoxins to people cannot be ignored, and agricultural products contaminated by them are often highly toxic to h...

Air quality prediction via hybrid BiGRU-MLP using binary ant colony optimization and firefly algorithm for hyperparameter tuning.

Air quality prediction is an important environmental task that supports pollution monitoring, public health protection, and sustainable urban decision...

Urbanization compound pathways of global lung cancer incidence risk under proximal and distal interactions.

Lung cancer burden varies across countries undergoing different stages of urbanization, but the interacting roles of behavioral and macro-environmenta...

Balancing Data Quantity and Quality: Evaluating Curation Strategies for Bioactivity Prediction in Lead Optimization.

Building good machine-learning (ML) models to predict the bioactivity of novel chemical matter remains a challenging task. Accurate models require a t...

Developing machine learning models for fluid milk spoilage classification.

The dairy as well as other food industries face major challenges as retirement of experienced staff members can lead to substantial knowledge and skil...

Comparative evaluation of deterministic and Bayesian neural networks for chlorophyll-a time series forecasting in eutrophic lakes: A case study of Dianchi Lake, China.

Reliable forecasting of chlorophyll-a concentration is essential for early warning of harmful algal blooms in eutrophic lakes. However, most deep lear...

Childhood exposure to traffic-related air pollution and lung function at age 10 years: evidence of nutritional modification in a birth cohort.

BACKGROUND: Exposure to traffic-related air pollution has been associated with impaired lung function in children, yet heterogeneity in susceptibility...

Linking mixtures of air pollution exposures and preterm birth with a self-organizing map.

BACKGROUND: Exposure to nitrogen dioxide (NO2), ozone (O3), fine particulate matter (PM2.5), and heat has previously been associated with preterm birt...

Optimizing Amiodarone Maintenance Dose to Minimize N-Desethylamiodarone Accumulation and Pulmonary Toxicity: Insights from Machine Learning and Pharmacokinetic Simulation.

BACKGROUND AND OBJECTIVE: The accumulation of N-desethylamiodarone (DEA), an active metabolite of amiodarone, is a recognized risk factor for intersti...

Non-linear impact mechanisms of multi-modal urban traffic on air quality: An interpretable machine learning study for sustainable policy making.

Urban air pollution, specifically Nitrogen Dioxide (NO2), presents a multifaceted challenge that is intricately coupled with the stochastic, multi-mod...

Steady, Flexible Memristor with Lead-Free Perovskite for Bionic Perception.

The advancement of artificial intelligence and cloud computing aspires multifunctional components to face complex problems and bionic perception. As o...

Stem cell-derived extracellular vesicles for rare diseases: A clinical‑bottleneck‑to‑mechanism framework for translation.

Rare diseases impose a disproportionate clinical burden, and yet therapeutic progress is hindered by small cohorts, biological heterogeneity, and limi...