Environmental Health

Efficacy of an Automated Robotic Cleaning Device for Compounding Pharmacies.

Compounded medicinal products should be prepared using an appropriate quality-assurance system. Cleaning and disinfection, as part of this system, are important to avoid cross-contamination of the preparations, reduce the bioburden levels in products, and avoid hazardous drugs residues or toxic chemical exposure of the staff workers. However, manual cleaning is difficult to standardize. Automated ...

Prognostic models will be victims of their own success, unless….

Predictive analytics have begun to change the workflows of healthcare by giving insight into our future health. Deploying prognostic models into clinical workflows should change behavior and motivate interventions that affect outcomes. As users respond to model predictions, downstream characteristics of the data, including the distribution of the outcome, may change. The ever-changing nature of he...

The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction.

We estimate the causal effects of acute fine particulate matter exposure on mortality, health care use, and medical costs among the US elderly using M...

Toxic activity of Prunus spinosa L. flower extract in hepatocarcinoma cells.

Prunus spinosa L. (blackthorn) is used in traditional medicine as a remedy for various diseases. To establish its anticancer properties, we exposed hu...

Deep reinforcement learning based valve scheduling for pollution isolation in water distribution network.

Public water supply facilities are vulnerable to intentional intrusion. In particular, Water Distribution Network (WDN) has become one of the most imp...

Myocardial Infarction Detection Based on Multi-lead Ensemble Neural Network.

Automatic myocardial infarction (MI) detection using an electrocardiogram (ECG) is of great significance for improving the survival rate of patients. ...

A Systems Toxicology Approach for the Prediction of Kidney Toxicity and Its Mechanisms In Vitro.

The failure to predict kidney toxicity of new chemical entities early in the development process before they reach humans remains a critical issue. He...

Development and application of a comprehensive machine learning program for predicting molecular biochemical and pharmacological properties.

We establish a comprehensive quantitative structure-activity relationship (QSAR) model termed AlphaQ through the machine learning algorithm to associa...

Predicting culturable enterococci exceedances at Escambron Beach, San Juan, Puerto Rico using satellite remote sensing and artificial neural networks.

Predicting recreational water quality is key to protecting public health from exposure to wastewater-associated pathogens. It is not feasible to monit...

Current status and future perspective of computational toxicology in drug safety assessment under ontological intellection.

For the safety assessment of pharmaceuticals, initial data management requires accurate toxicological data acquisition, which is based on regulatory s...

Identification of Anti-cancer Peptides Based on Multi-classifier System.

AIMS AND OBJECTIVE: Cancer is one of the deadliest diseases, taking the lives of millions every year. Traditional methods of treating cancer are expen...

Myelin Protection by Ursolic Acid in Cuprizone-Induced Demyelination in Mice.

Neuronal survival in multiple sclerosis (MS) and other demyelinating diseases depends on the preservation of myelin and remyelination of axons. Myelin...

ARIADNA: machine learning method for ancient DNA variant discovery.

Ancient DNA (aDNA) studies often rely on standard methods of mutation calling, optimized for high-quality contemporary DNA but not for excessive conta...

Platelet mitochondrial cytochrome c oxidase subunit I variants with benzene poisoning.

BACKGROUND: Chronic benzene poisoning (CBP) is one of the most common chronic occupational poisoning which is associated with mitochondrial oxidative ...

In Vitro Investigation of Potential Anti-Diabetic Activity of the Corm Extract of Hypoxis Argentea Harv. Ex Baker.

The corms of Hypoxis argentea are widely used as a traditional remedy for diabetes mellitus in South Africa. In this study, we investigated the effect...

Assessing Deep and Shallow Learning Methods for Quantitative Prediction of Acute Chemical Toxicity.

Animal-based methods for assessing chemical toxicity are struggling to meet testing demands. In silico approaches, including machine-learning methods,...

[Nondestructive detection of total nitrogen content in leaves of Santalum album based on ST-PCA-BP neural network.].

Nitrogen is one of the most important elements for plant growth. Producers often use a lot of nitrogen fertilizer during plant growth process. However...

Application of Fuzzy Set/Qualitative Comparative Analysis to Public Participation Projects in Support of the EU Water Framework Directive.

  This study analyzes the level of satisfaction of stakeholders in the public participation process (PPP) of water resources management, which is mand...

Approaching Pharmacological Space: Events and Components.

With a view to introducing the concept of pharmacological space and its potential applications in investigating and predicting the toxic mechanisms of...

Overview of the Biological Activities of a Methanol Extract from Wild Red Belt Conk, Fomitopsis pinicola (Agaricomycetes), Fruiting Bodies from Central Italy.

Fomitopsis pinicola (Sw.) P. Karst. (Fomitopsidaceae) is a medicinal mushroom with a variety of healthy properties. In this study we tested the radica...