Public Health & Policy

Environmental Health

Latest AI and machine learning research in environmental health for healthcare professionals.

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Enzyme cascade-amplified immunoassay based on the nanobody-alkaline phosphatase fusion and MnO nanosheets for the detection of ochratoxin A in coffee.

Ochratoxin A (OTA) is a common food contaminant with multiple toxicities and thus rapid and accurate...

Augmenting Product Defect Surveillance Through Web Crawling and Machine Learning in Singapore.

INTRODUCTION: Substandard medicines are medicines that fail to meet their quality standards and/or s...

Video-Sensing Characterization for Hydrodynamic Features: Particle Tracking-Based Algorithm Supported by a Machine Learning Approach.

The efficient and reliable monitoring of the flow of water in open channels provides useful informat...

A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm.

Atrial fibrillation (AF) is the most prevalent arrhythmia and is associated with increased morbidity...

Validated spectral manipulations for determination of an anti-neoplastic drug and its related impurities including its hazardous degradation product.

Innovative and specific double dual wavelength, dual ratio subtraction spectrophotometric methods we...

Deep Learning to Predict Cardiac Magnetic Resonance-Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs.

BACKGROUND: Classical methods for detecting left ventricular (LV) hypertrophy (LVH) using 12-lead EC...

Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity.

In systemic light chain amyloidosis (AL), pathogenic monoclonal immunoglobulin light chains (LC) for...

Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery.

Airborne hyperspectral remote sensing has the characteristics of high spatial and spectral resolutio...

Ensemble machine learning of factors influencing COVID-19 across US counties.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) the causal agent for COVID-19, is a com...

An assessment of contamination pickup on ground robotic vehicles for nuclear surveying application.

Ground robotic vehicles are often deployed to inspect areas where radioactive floor contamination is...

Prediction of Anticancer Peptides with High Efficacy and Low Toxicity by Hybrid Model Based on 3D Structure of Peptides.

Recently, anticancer peptides (ACPs) have emerged as unique and promising therapeutic agents for can...

An study of lipase inhibitory peptides obtained from de-oiled rice bran.

De-oiled rice bran (DORB) is a potentially useful by-product of the rice bran oil industry. DORB may...

Exploring the phenomenon and ethical issues of AI paternalism in health apps.

Health apps, including consumer-oriented fitness apps, have two functions. They are supposed to moni...

DeepFrag: An Open-Source Browser App for Deep-Learning Lead Optimization.

Lead optimization, a critical step in early stage drug discovery, involves making chemical modificat...

Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation.

Water is a prime necessity for the survival and sustenance of all living beings. Over the past few y...

A study on ship collision conflict prediction in the Taiwan Strait using the EMD-based LSSVM method.

Ship collision accidents are the primary threat to traffic safety in the sea. Collision accidents ca...

An artificial intelligence algorithm for analyzing acetaminophen-associated toxic hepatitis.

INTRODUCTION: Very little artificial intelligence (AI) work has been performed to investigate acetam...

Bandgap tuning strategy by cations and halide ions of lead halide perovskites learned from machine learning.

Bandgap engineering of lead halide perovskite materials is critical to achieve highly efficient and ...

A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network.

Obstructive sleep apnea (OSA) is a common chronic sleep disorder that disrupts breathing during slee...

Prediction of COVID-19 cases using the weather integrated deep learning approach for India.

Advanced and accurate forecasting of COVID-19 cases plays a crucial role in planning and supplying r...

Magnetic properties and its application in the prediction of potentially toxic elements in aquatic products by machine learning.

Magnetic measurement was provided to substitute for time-consuming conventional methods for determin...

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