Latest AI and machine learning research in public health for healthcare professionals.
Medical interns are at high risk of acquiring Hepatitis B Virus (HBV) infection during their training. HBV vaccination is the most effective measure to reduce the global incidence of HBV. The duration of protection after HBV vaccination is still controversial. We aimed to determine the prevalence of protective anti-HBs levels among medical interns who had received compulsory hepatitis B vaccinatio...
The cross-species transmission of influenza viruses represents a critical link in the pandemic of zoonotic diseases. This mechanism involves multi-level interactions, including viral genetic adaptability, host-receptor compatibility, and ecological drivers. Recent studies have highlighted the essential role of mutations in hemagglutinin and neuraminidase in overcoming host barriers, while elucidat...
Melia azedarach L. (Meliaceae) (MA) leaves are traditionally used for inflammatory disorders, yet their immunomodulatory effects on lymphocytes remain...
To address the global emergence of mpox after the 2022 epidemic, a rapid and accurate diagnostic tool is needed at the point of care to identify indiv...
Several arthropod-borne (arbo)-viruses have overlapping symptoms, insect vectors and geographical occurrence. With little known about the importance o...
Wastewater Based Epidemiology (WBE) has been identified as a tool for monitoring and predicting patterns of SARS-CoV-2 in communities. Several factors...
BACKGROUND & AIMS: The association between circulating vitamin D levels and the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) o...
This study presents a neural network-based framework for COVID-19 transmission prediction and healthcare resource optimization. The model achieves hig...
Non-melanoma skin cancers (NMSCs), including basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), have shown significant global increases in ...
Virological plaque assay is the major method of detecting and quantifying infectious viruses in research and diagnostic samples. Furthermore, viral pl...
The COVID-19 outbreak has highlighted the importance of mathematical epidemic models like the Susceptible-Infected-Recovered (SIR) model, for understa...
This study presents a novel approach for the classification of coronavirus species and variants of SARS-CoV-2 using Chaos Game Representation (CGR) an...
Public health practitioners can use wastewater data to grasp disease dynamics, including incidence, prevalence, and potential disease trajectory. The ...
Lumpy skin disease (LSD), which was confined to the Africa for many decades, has expanded its geographical distribution to numerous countries across A...
BACKGROUND: Telerehabilitation allows patients to engage in therapy away from healthcare facilities, often in the comfort of their homes. Studies have...
Artificial intelligence (AI) has revolutionized various biomedical fields, particularly immunology, by enhancing vaccine development, immunotherapies,...
BACKGROUND: Understanding the complex interplay between life course exposures, such as adverse childhood experiences and environmental factors, and di...
Background This investigation delves into the potential application of data-driven survival modeling approaches for prognostic assessments of breast c...
Recently, the epidemiological profile of avian influenza has changed dramatically worldwide. Avian influenza sampling and surveillance of wholesale an...
The design of proteins capable effectively binding to specific protein targets is crucial for developing therapies, diagnostics, and vaccine candidate...