Latest AI and machine learning research in universal precautions for healthcare professionals.
Leishmaniasis and toxoplasmosis are major neglected zoonotic diseases affecting billions globally, with diverse clinical outcomes driven by complex host-pathogen immunogenomic interactions. While the One Health framework is theoretically essential for controlling these environmentally sensitive pathogens, the extent of its actual integration into high-throughput genomic research remains unquantifi...
Lower respiratory tract infection (LRTI) is a leading cause of morbidity and mortality among children admitted to paediatric intensive care units (PICUs). Diagnosis is hampered by overlapping symptoms and limited sensitivity of conventional microbiology. We aimed to identify early diagnostic biomarkers by integrating microbial and host responses in paediatric LRTI. We re-analysed a metagenomic nex...
Timely linkage to HIV prevention and treatment services following HIV self-testing (HIVST) remains a challenge in many countries. While HIVST offers p...
Superspreading driven by individual variation in transmissibility shapes novel pathogen emergence and the effectiveness of control measures. Current a...
Ongoing education in HIV care is limited for many healthcare providers working in rural and non-academic settings, which can reduce patients’ access t...
The emergence of generative AI and controllable diffusion has made image-to-image synthesis increasingly practical and efficient. However, when inpu...
The human MHC transplantation loci (HLA-A, -B, -C, -DPB1, -DQB1, -DRB1) are the most polymorphic in the human genome. It is generally accepted this ...
We propose Foreground-Covering Prototype Generation and Matching to resolve Few-Shot Segmentation (FSS), which aims to segment target regions in unl...
MOTIVATION: The emergence of multidrug class resistance (MDR) in Human Immunodeficiency Virus (HIV) is a rare but significant challenge in antiretrovi...
COVID-19 has not only changed the way people live but has also altered the way all organizations operate. The most effective precautionary measure aga...
INTRODUCTION: Tuberculous meningitis (TBM) leads to high mortality, especially amongst individuals with HIV. Predicting the incidence of disease-relat...
One of the main challenges in food microbiology is to prevent the risk of outbreaks by avoiding the distribution of food contaminated by bacteria. Thi...
Despite unprecedented achievements, the domain-specific application of artificial intelligence (AI) in the realm of infection biology was still in its...
Host-response-based diagnostics can improve the accuracy of diagnosing bacterial and viral infections, thereby reducing inappropriate antibiotic pre...
Infectious diseases remain a critical global health challenge, and the integration of standardized ontologies plays a vital role in managing related...
The primary challenge of cross-domain few-shot segmentation (CD-FSS) is the domain disparity between the training and inference phases, which can ex...
Off-policy policy evaluation (OPE) estimates the outcome of a new policy using historical data collected from a different policy. However, existing ...
Text-guided image editing model has achieved great success in general domain. However, directly applying these models to the fashion domain may enco...
Diffusion-based text-to-image (T2I) models have demonstrated remarkable results in global video editing tasks. However, their focus is primarily on ...
Recent research in subject-driven generation increasingly emphasizes the importance of selective subject features. Nevertheless, accurately selectin...