Environmental Health

A machine-learning-based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies.

PURPOSE: External beam radiotherapy combined with interstitial brachytherapy is commonly used to treat patients with bulky, advanced gynecologic cancer. However, the high radiation dose needed to control the tumor may result in fistula development. There is a clinical need to identify patients at high risk for fistula formation such that treatment may be managed to prevent this toxic side effect. ...

Machine-learned modeling of PM exposures in rural Lao PDR.

This study presents a machine-learning-enhanced method of modeling PM personal exposures in a data-scarce, rural, solid fuel use context. Data collected during a cookstove (Africa Clean Energy (ACE)-1 solar-battery-powered stove) intervention program in rural Lao PDR are presented and leveraged to explore advanced techniques for predicting personal exposures to particulate matter with aerodynamic ...

Sequential treatment of paper and pulp industrial wastewater: Prediction of water quality parameters by Mamdani Fuzzy Logic model and phytotoxicity assessment.

Recycling of industrial wastewater meeting quality standards for agricultural and industrial demands is a viable option. In this study, paper and pulp...

Adsorptive performance of a mixture of three nonliving algae classes for nickel remediation in synthesized wastewater.

PURPOSE: The present study provided a comprehensive description regarding the application of a mixture of three nonliving classes of algae as a promis...

Machine Learning Approach to find the relation between Endometriosis, benign breast disease, cystitis and non-toxic goiter.

The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item similarities of machine learning has never been applied ...

Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender.

This study focuses on identifying environmental health risk factors related to acute respiratory diseases using deep learning method. Based on respira...

Metabolomics Analysis in Acute Paraquat Poisoning Patients Based on UPLC-Q-TOF-MS and Machine Learning Approach.

Most paraquat (PQ) poisoned patients died from acute multiple organ failure (MOF) such as lung, kidney, and heart. However, the exact mechanism of int...

Microbiological performance of a robotic system for aseptic compounding of cytostatic drugs.

BACKGROUND: Compounding of cytostatic drugs requires strict aseptic procedures, while exposure to toxic drugs and repetitive manual movements should b...

In silico prediction of chemical reproductive toxicity using machine learning.

Reproductive toxicity is an important regulatory endpoint in health hazard assessment. Because the in vivo tests are expensive, time consuming and req...

Comparative Study of Multitask Toxicity Modeling on a Broad Chemical Space.

Acute toxicity is one of the most challenging properties to predict purely with computational methods due to its direct relationship to biological int...

Aflatoxin B Degradation and Detoxification by CG1061 Isolated From Chicken Cecum.

Aflatoxin B (AFB) is one of the most hazardous mycotoxins contamination in food and feed products, which leads to hepatocellular carcinoma in humans a...

Computational prediction of diagnosis and feature selection on mesothelioma patient health records.

BACKGROUND: Mesothelioma is a lung cancer that kills thousands of people worldwide annually, especially those with exposure to asbestos. Diagnosis of ...

Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data.

Performing quality control to detect image artifacts and data-processing errors is crucial in structural magnetic resonance imaging, especially in dev...

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.

Computerized electrocardiogram (ECG) interpretation plays a critical role in the clinical ECG workflow. Widely available digital ECG data and the algo...

generation test: A new methodology with a Brazilian endemic insect.

This paper presents a new ecotoxicological test to investigate the response of a Brazilian endemic insect through its life cycle and its future gener...

Long short-term memory - Fully connected (LSTM-FC) neural network for PM concentration prediction.

People have been suffering from air pollution for a decade in China, especially from PM (particulate matter with a diameter of less than 2.5 μm). Accu...

Impact of Graphene Exposure on Microbial Activity and Community Ecosystem in Saliva.

Graphene-based nanomaterials (GMs) are served as great promising agents for the prevention and therapy of infectious diseases. However, their dental a...

Particulate Matter Exposure of Passengers at Bus Stations: A Review.

This review clarifies particulate matter (PM) pollution, including its levels, the factors affecting its distribution, and its health effects on passe...

Hypoxia-responsive micelles self-assembled from amphiphilic block copolymers for the controlled release of anticancer drugs.

Amphiphilic block copolymers poly(ethylene glycol)-block-poly(methacrylic acid-co-2-nitroimidazole methacrylate) (PEG-b-P(MAA-co-NIMA)) were synthesiz...

Optimization of the Cellulase Free Xylanase Production by Immobilized .

BACKGROUND: The extracellular xylanase secreted by microorganisms is a hydrolytic enzyme, which arbitrarily cleaves the β-1, 4 backbone of the polysac...