Latest AI and machine learning research in infectious disease for healthcare professionals.
In this study, we developed a lightweight and rapid convolutional neural network (CNN) architecture ...
High mortality and zoonotic potential predispose the H5N1 avian influenza virus as a critical threat...
BACKGROUND: Rapid and accurate identification of bacteria is required in order to develop effective ...
In this study, we introduce a novel approach that integrates interpretability techniques from both t...
The enormous diversity of bacteriophages and their bacterial hosts presents a significant challenge ...
The viruses has spread globally and have been impacted lives of people socially and economically, wh...
Industrial wastewaters are significant global concerns due to their environmental impact. Yet, prote...
The existing clinical diagnostic methods of pulmonary tuberculosis (TB) usually have some of the fol...
Monthly runoff forecasting plays a critically supportive role in water resources planning and manage...
BACKGROUND: Dengue virus causes illnesses with or without warning indicators for severe complication...
Hepatocellular carcinoma (HCC) represents a significant health burden in Egypt, largely attributable...
Next-generation T-cell-directed vaccines for COVID-19 focus on establishing lasting T-cell immunity ...
, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cance...
BACKGROUND: Sepsis is a life-threatening condition that causes millions of deaths globally each year...
Neonatal infections pose a significant threat to the health of newborns. Associated morbidity and mo...
Long COVID is a multi-systemic disease characterized by the persistence or occurrence of many sympto...
Antimicrobial peptides (AMPs) are a promising class of antimicrobial drugs due to their broad-spectr...
Understanding which viral variants evade neutralization is crucial for improving antibody-based trea...
Since the outbreak of the COVID-19 pandemic, there has been a global surge in patients presenting wi...
BACKGROUND: Screening for frequent hospitalizations in the community can help prevent super-utilizer...
Incomplete multi-view clustering addresses scenarios where data completeness cannot be guaranteed, d...