Universal precautions

PHARMACOKINETIC EXPOSURE AND VIROLOGIC RESPONSE IN HIV-1 INFECTED PREGNANT WOMEN TREATED WITH LOPINAVIR/RITONAVIR: AIDS CLINICAL TRIALS GROUP PROTOCOL A5153S: A SUBSTUDY TO A5150.

OBJECTIVE: We studied the pharmacokinetics and pharmacodynamics of boosted soft-gel lopinavir/ritonavir to assess if the area under the plasma concentration versus time curve (AUC) is altered in pregnancy and whether changes in AUC impacted HIV-1 control.

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 antibodies to neutralize the pathogen or recruit innate immune effector cells for help. The non-neutralizing role of antibodies in stimulating effector cell responses may have been a key mechanism of the protection observed in the RV144 HIV vaccine trial. In an extensive investigation of a rich set of d...

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 (HAART) with entry and integrase inhibitors during ...

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 own right. It is critical for early prevention and ...

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 using omic technologies. Critically, due to availabi...

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 in drug discovery and design process. As an alterna...

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 logistic regression. However, a data-adaptive procedu...

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 preparation of iv bags with cyclophosphamide using...

Auditing Large Language Model-Generated Digital Standardized Patients for Demographic Bias: A Simulation Study with HIV Pre-Exposure Prophylaxis Screening as a Tracer Condition

Large language models (LLMs) are entering clinical training as digital standardized patients (DSPs), simulated patient encounters the model scripts an...

Uncharted Waters: Projecting the European Emergence of Naegleria fowleri, Colloquially Known as the 'Brain-Eating Amoeba', Under Climate Warming

Background. Naegleria fowleri, the causative agent of primary amoebic meningoencephalitis (PAM), is a thermophilic free-living amoeba historically end...

RARF: Region-Aware Rectified Flows for 3D Brain MRI Inpainting

Medical image inpainting has the potential to improve automated brain MRI analysis by reconstructing healthy tissue within pathological regions. We in...

BooM-VVT: Boosting Mask-Free Video Virtual Try-On with Image-Level Pseudo Data

Video virtual try-on (VVT) aims to generate realistic videos of a person wearing a target garment. Recent methods leverage a keyframe-driven video gen...

Exemplar: Classical Priors Complement Frozen Features for Few-Shot Microscopy Segmentation at Native Resolution

Segmenting a new biomedical dataset usually means a domain-specific model trained on substantial annotation, or a foundation model steered at inferenc...

CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning

Semantic triggers in federated learning (FL) can be less conspicuous than synthetic patches, but sample-dependent placement may weaken backdoor implan...

MROP: Mask-Region Optimized Purification Against Backdoor Attack in Deep JSCC

Deep joint source and channel coding (JSCC) transmits a source by mapping it directly to channel symbols through an end-to-end deep neural network (DN...

PredErase: Training-Free Object-and-Effect Removal with Predictive Latent Guidance

Removing an object is not the same as filling its mask. Cast shadows and contact shading usually lie outside the user-provided instance mask M_obj, so...

Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning

Manual annotation remains a major bottleneck in ultrasound (US) bone segmentation, where experts typically iteratively refine rough brush masks rather...

Tc17-driven antibody-independent mucosal immunity is critical for protection against extracellular bacterial pneumonia

Klebsiella pneumoniae (Kp) is a WHO high-priority pathogen for vaccine development, yet previous efforts failed largely because key protective immune ...

Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling

Antimicrobial peptides (AMPs) often act against multiple pathogen classes, making multi-label activity prediction a more realistic screening target th...

Beyond Accuracy: Quantifying Pulmonary Attribution in Anatomy-Guided Chest X-Ray Classification Under Domain Shift

Deep-learning models can achieve strong chest X-ray (CXR) classification performance without establishing whether their predictions predominantly rely...