Inhalation exposure to atmospheric nanoparticles and its associated impacts on human health: a review

S Sonwani, S Madaan, J Arora… - … in Sustainable Cities, 2021 - frontiersin.org
Nanoparticles (NPs) are receiving an increasing attention from many scientific communities
due to their strong influence on human health. NPs are an important marker of air pollution …

Winter is coming: a southern hemisphere perspective of the environmental drivers of SARS-CoV-2 and the potential seasonality of COVID-19

AJ Smit, JM Fitchett, FA Engelbrecht… - International journal of …, 2020 - mdpi.com
SARS-CoV-2 virus infections in humans were first reported in December 2019, the boreal
winter. The resulting COVID-19 pandemic was declared by the WHO in March 2020. By July …

Biomass burning-derived airborne particulate matter in Southeast Asia: A critical review

MG Adam, PTM Tran, N Bolan… - Journal of Hazardous …, 2021 - Elsevier
Smoke haze episodes, resulting from uncontrolled biomass burning (BB) including forest
and peat fires, continue to occur in Southeast Asia (SEA), affecting air quality, atmospheric …

Long-term health effects of wildfire exposure: a scoping review

E Grant, JD Runkle - The Journal of Climate Change and Health, 2022 - Elsevier
Wildfires pose a number of acute and chronic health threats, including increased morbidity
and mortality. While much of the current literature has focused on the short-term health …

Carbon emissions and environmental management based on Big Data and Streaming Data: A bibliometric analysis

Y Su, Y Yu, N Zhang - Science of The Total Environment, 2020 - Elsevier
Climate change and environmental management are issues of global concern. The advent
of the era of Big Data has created a new research platform for the assessment of …

Application of Artificial Intelligence techniques for the detection of Alzheimer's disease using structural MRI images

X Zhao, CKE Ang, UR Acharya, KH Cheong - … and Biomedical Engineering, 2021 - Elsevier
Alzheimer's disease (AD) is an irreversible, progressive brain disorder that slowly destroys
memory and thinking skills. It is one of the leading types of dementia for persons aged above …

A review of risk prediction models in cardiovascular disease: conventional approach vs. artificial intelligent approach

ASM Faizal, TM Thevarajah, SM Khor… - Computer methods and …, 2021 - Elsevier
Cardiovascular disease (CVD) is the leading cause of death worldwide and is a global
health issue. Traditionally, statistical models are used commonly in the risk prediction and …

Artificial intelligence and machine learning in emergency medicine

KJW Tang, CKE Ang, T Constantinides… - Biocybernetics and …, 2021 - Elsevier
Abstract The advent of Artificial Intelligence (AI) has resulted in development of novel
applications in a multitude of fields, such as in Medicine, to aid medical professionals in …

Disease burden of migraine and tension-type headache in non-high-income East and Southeast Asia from 1990 to 2019

R Ge, J Chang - The journal of headache and pain, 2023 - Springer
Background The world faces severe challenges from migraine and tension-type headache
(TTH), which cause grave disability to patients and place a heavy burden on their …

An automated skin melanoma detection system with melanoma-index based on entropy features

KH Cheong, KJW Tang, X Zhao, JEW Koh… - Biocybernetics and …, 2021 - Elsevier
Skin melanoma is a potentially life-threatening cancer. Once it has metastasized, it may
cause severe disability and death. Therefore, early diagnosis is important to improve the …