Universal precautions

ViralMap: predicting features in viral proteins from primary sequence.

Modern viral vaccines are designed to elicit an immune response against viral proteins that mediate infection, making those proteins important targets for characterization and engineering. To improve vaccine efficacy, the proteins often require changes to specific residues or domains to enhance immunogenicity and induce a protective response. These engineering strategies vary significantly across ...

Beyond Invariable Sites: Using Evolutionary Stasis to Map Multi-Layered Constraints on the Evolution of Viral and Mammalian Genomes.

The quantification of genomic conservation has progressed from foundational statistical modeling of evolutionary rates to state-of-the-art deep learning architectures. However, a major resolution gap remains at the zero-rate origin, where standard selection inference tools fail to distinguish between sites that are invariant due to chance (stochastic invariance) or low substitution opportunity, an...

A mask-based peak-to-average power ratio reduction scheme for affine frequency division multiplexing systems using Volterra Series-Driven PolyNet.

Affine frequency division multiplexing (AFDM) demonstrates exceptional resilience to Doppler effects in doubly dispersive channels, making it a promis...

Artificial intelligence predicts recurrent autoimmune hepatitis after liver transplantation in a multicenter cohort study.

BACKGROUND: Autoimmune hepatitis (AIH) is an important indication for liver transplantation (LT), but recurrence affects over 30% of recipients, threa...

Metabolic Mechanisms of INSTI-Associated Weight Gain: A Multi-Omics Study in Male People with HIV.

BACKGROUND: Integrase Strand Transfer Inhibitors (INSTI) are recommended as first-line antiretroviral therapy (ART) for HIV infection, yet are frequen...

Tandem kinase proteins and kinase-fusion architectures in plant immune system.

Tandem kinase proteins (TKPs) and kinase fusion proteins (KFPs) have emerged as a major class of intracellular immune receptors that complement classi...

Deep learning for automated instance segmentation of residual roots in panoramic radiographs using mask R-CNN: A retrospective diagnostic accuracy study.

BACKGROUND: This study aimed to evaluate the efficacy of Mask regions with convolutional neural network (R-CNN) for the automated detection and segmen...

Artificial Intelligence and JAIDS.

AI is a massively important tool for advancing the health of persons impacted by HIV. JAIDS is prioritizing rapid publication of research in this aren...

Integrated Genome-Wide Association Study and Machine Learning Approach for Characterizing the Determinants of Biofilm Formation in Staphylococcus aureus.

Staphylococcus aureus (S. aureus) is a well-recognized pathogen known for its multi-drug resistance and diverse virulence mechanisms. Its ability to g...

Artificial Intelligence and Generative Models in Hepatology: From Large Language Models to Digital Pathology in Liver Disease Diagnosis and Treatment.

Artificial intelligence (AI), particularly foundation and generative models, is reshaping the practice of hepatology through enhanced knowledge synthe...

AI-assisted design of next-generation antibiotics against multidrug-resistant Staphylococcus aureus.

Multidrug-resistant (MDR) Staphylococcus aureus remains a leading cause of life-threatening infections worldwide and is designated a high-priority pat...

Multiomics and artificial intelligence identify infection associated subtypes and prognostic signatures in hepatocellular carcinoma.

UNLABELLED: Hepatocellular carcinoma (HCC) remains a major global health burden with persistently high morbidity and mortality. Dysregulation of the t...

The use of artificial intelligence in advancing molecular biology in Africa: a narrative review.

Artificial intelligence (AI) is rapidly becoming a core methodological pillar of molecular biology and precision medicine, and Africa is a uniquely co...

Chemical-Sensing Catheters for Long-Term and Personalized Therapeutic Management.

Long-term intravenous catheterization is vital for delivering chemotherapy to cancer patients and parenteral nutrition to those with intestinal failur...

Multi-omics and artificial intelligence nominate PCLAF as a prognostic and druggable target for hepatitis B virus-associated hepatocellular carcinoma.

BACKGROUND: PCLAF (PCNA clamp-associated factor) is a protein involved in DNA replication and DNA repair. Aberrant PCLAF expression has been reported ...

VN1K is a pangenome-informed multi-omics and phenomics resource for the Vietnamese population.

The population of Vietnam remains underrepresented in global genomic databases. Here, we present VN1K, a resource of multi-omics and phenotypic inform...

Hybrid circular-square complementary split-ring resonator sensor for monitoring abnormal blood protein levels for disease diagnosis.

The proposed work aims to develop a compact, low-cost, and commercially viable microwave sensor for early monitoring of high protein content in blood,...

Triboelectric Nanogenerators for Food Quality Monitoring: Mechanisms and Applications.

Triboelectric nanogenerators (TENGs) are emerging self-powered sensing technologies that harvest low-frequency mechanical energy and convert it into e...

Predicting the absence of World Health Organization fungal priority pathogens in agricultural soils using machine learning and ITS metabarcoding.

Environmental fungal pathogens relevant to human and animal health pose significant risks, particularly in regions with intensive farming and climate ...

An Interpretable Machine Learning Model for Predicting the Presence of Talaromycosis in HIV Patients Lacking Skin Lesions.

INTRODUCTION: The existing predictive models for talaromycosis in people living with HIV without skin lesions are limited by established risk factors ...