The role of artificial intelligence in fighting the COVID-19 pandemic
The first few months of 2020 have profoundly changed the way we live our lives and carry
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …
Research perspectives on animal health in the era of artificial intelligence
Leveraging artificial intelligence (AI) approaches in animal health (AH) makes it possible to
address highly complex issues such as those encountered in quantitative and predictive …
address highly complex issues such as those encountered in quantitative and predictive …
Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection
Virus based epidemic is one of the speedy and widely spread infectious disease which can
affect the economy of the country as well as it is life-threatening too. So, there is a need to …
affect the economy of the country as well as it is life-threatening too. So, there is a need to …
Human footprint is associated with shifts in the assemblages of major vector-borne diseases
Predicting how increasing intensity of human–environment interactions affects pathogen
transmission is essential to anticipate changing disease risks and identify appropriate …
transmission is essential to anticipate changing disease risks and identify appropriate …
Novel application of machine learning algorithms and model-agnostic methods to identify factors influencing childhood blood lead levels
Blood lead (Pb) poisoning remains a global concern, particularly for children in their early
developmental years. Broken Hill is Australia's oldest operating silver–zinc–lead mine. In …
developmental years. Broken Hill is Australia's oldest operating silver–zinc–lead mine. In …
Interpretable machine learning models for predicting in-hospital and 30 days adverse events in acute coronary syndrome patients in Kuwait
MA Alkhamis, M Al Jarallah, S Attur, M Zubaid - Scientific Reports, 2024 - nature.com
The relationships between acute coronary syndromes (ACS) adverse events and the
associated risk factors are typically complicated and nonlinear, which poses significant …
associated risk factors are typically complicated and nonlinear, which poses significant …
Using host traits to predict reservoir host species of rabies virus
Wildlife are important reservoirs for many pathogens, yet the role that different species play
in pathogen maintenance frequently remains unknown. This is the case for rabies, a viral …
in pathogen maintenance frequently remains unknown. This is the case for rabies, a viral …
[HTML][HTML] Explainable machine learning improves interpretability in the predictive modeling of biological stream conditions in the Chesapeake Bay Watershed, USA
KO Maloney, C Buchanan, RD Jepsen… - Journal of …, 2022 - Elsevier
Anthropogenic alterations have resulted in widespread degradation of stream conditions. To
aid in stream restoration and management, baseline estimates of conditions and improved …
aid in stream restoration and management, baseline estimates of conditions and improved …
Seroprevalence and Molecular Identification of Brucella spp. in Camels in Egypt
Brucellosis is one of the most important worldwide zoonoses of many countries including
Egypt. Camel brucellosis has not gained much attention in Egypt yet. This study is focused …
Egypt. Camel brucellosis has not gained much attention in Egypt yet. This study is focused …
Functional traits explain waterbirds' host status, subtype richness, and community‐level infection risk for avian influenza
Species functional traits can influence pathogen transmission processes, and consequently
affect species' host status, pathogen diversity, and community‐level infection risk. We here …
affect species' host status, pathogen diversity, and community‐level infection risk. We here …