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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.

The adaptive immune response to vaccination or infection can lead to the production of specific anti...

Markers of HIV reservoir size and immune activation after treatment in acute HIV infection with and without raltegravir and maraviroc intensification.

BACKGROUND: It is unclear whether intensification of standard highly active antiretroviral therapy (...

Application of a hybrid method combining grey model and back propagation artificial neural networks to forecast hepatitis B in china.

Accurate incidence forecasting of infectious disease provides potentially valuable insights in its o...

Choose wisely: Network, ontology and annotation resources for the analysis of Staphylococcus aureus omics data.

Staphylococcus aureus (S. aureus) is a prominent human and livestock pathogen investigated widely us...

A comparative study of family-specific protein-ligand complex affinity prediction based on random forest approach.

The assessment of binding affinity between ligands and the target proteins plays an essential role i...

Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets.

Inverse probability weights used to fit marginal structural models are typically estimated using log...

Environmental contamination, product contamination and workers exposure using a robotic system for antineoplastic drug preparation.

Environmental contamination, product contamination and technicians exposure were measured following ...

HS-GC-IMS couples with convolutional neural network for Burkholderia gladioli pv. Cocovenenans detection in Auricularia Auricula.

The shortage in early detection methods for the pathogen Burkholderia gladioli pv. cocovenenans (BGC...

Memory Transmission Based Referring Video Object Segmentation.

Referring Video Object Segmentation (RVOS) addresses the task of segmenting target objects described...

Paper-based SERS chip with adaptive attention neural network for pathogen identification.

High-speed and accuracy identification of pathogens has become increasingly critical in both individ...

Class and isotype of VlsE-specific antibody differentiates Lyme disease stage.

UNLABELLED: Establishment of immunoglobulin diversity is contingent on recombination that occurs bot...

Genomic and machine learning approaches to predict antimicrobial resistance in .

UNLABELLED: is a multidrug-resistant pathogen, which poses a major challenge to clinical management...

Developing risk stratification strategies and biomarkers for recurrent hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, with high rates ...

Paternally Expressed Gene 10 Promoter Methylation Level as a Predictor of HBeAg Seroconversion in Chronic Hepatitis B Patients.

The management of chronic hepatitis B (CHB) encounters challenges like suboptimal antiviral response...

Discrimination of Klebsiella pneumoniae and Klebsiella quasipneumoniae by MALDI-TOF Mass Spectrometry Coupled With Machine Learning.

Klebsiella species, including Klebsiella pneumoniae and Klebsiella quasipneumoniae, present signific...

Enhancing HF-DL Model Validation for Liver Fibrosis Staging Through Sample Optimisation and Technical Integration.

We read with great interest the article by Zhang et al. The study demonstrates that the deep learnin...

Unmet needs in autoimmune liver diseases.

Autoimmune hepatitis, primary biliary cholangitis, and primary sclerosing cholangitis are well-defin...

SARS-CoV-2: lessons in virus mutation prediction and pandemic preparedness.

The COVID-19 pandemic has prompted an unprecedented global response. In particular, extraordinary ef...

Decoding virulence and resistance in Klebsiella pneumoniae: Pharmacological insights, immunological dynamics, and in silico therapeutic strategies.

Klebsiella pneumoniae (K. pneumoniae) has become a serious global health concern due to its rising v...

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