COVID-19

Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination response.

BACKGROUND: Despite decades of research on the influenza virus, we still lack a predictive understan...

Machine learning to predict de novo protein-protein interactions.

Advances in machine learning for structural biology have dramatically enhanced our capacity to predi...

Machine Learning Model for Predicting Omicron Prognosis Based on CT and Clinical Variables.

SLC35A2 loss-of-function variants affect glycomic signatures, neuronal fate and network dynamics.

SLC35A2 encodes a UDP-galactose transporter essential for glycosylation of proteins and galactosylat...

EEG Connectivity as Predictor of ICAN ADHD Children's Improvement After Completion of Theta Beta Ratio Neurofeedback: Machine Learning Analyses.

Attention deficit hyperactivity disorder is a prevalent syndrome that costs billions of dollars annu...

Messenger Ribonucleic Acid (mRNA)-Based Universal Vaccines: Engineering Broad-Spectrum Immunity Against Future Pandemics.

The rapid emergence and evolution of infectious pathogens, including the COVID-19 pandemic and recur...

Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testing.

Tuberculosis (TB) kills more people annually than any other pathogen. Resistance is an ever-increasi...

Occurrence, Sources, and Prioritization of Per- and Polyfluoroalkyl Substances (PFASs) in Drinking Water from Yangtze River Delta, China: Focusing on Emerging PFASs.

As regulations ban legacy PFASs, many emerging PFASs are being developed, leading to their release i...

Skeletal Muscle Density as a Predictive Marker for Pathologic Complete Response in Triple-Negative Breast Cancer Treated with Neoadjuvant Chemoimmunotherapy.

: The predictive value of muscle-related indicators in triple-negative breast cancer (TNBC) patients...

A hybrid model based on learning automata and cuckoo search for optimizing test item selection in computerized adaptive testing.

Computerized adaptive testing (CAT) has become one of the most effective methods of providing a cust...

Advanced Non-Destructive Testing Simulation and Modeling Approaches for Fiber-Reinforced Polymer Pipes: A Review.

Fiber-reinforced polymer (FRP) pipes have emerged as a preferred alternative to conventional metalli...

Phosphorylation enables allosteric control of a viral condensate.

In many viruses, intrinsically disordered proteins (IDPs) drive the formation of replicative organel...

Deep learning algorithms reveal genomic markers for anxiety disorder in a large cohort of children with down syndrome.

Despite a significant burden of neurobehavioral and psychiatric comorbidities in children with Down ...

A Wearable In-Pad Diagnostic for the Detection of Disease Biomarkers in Menstruation Blood.

The pain-free monitoring of blood-based biomarkers is essential for early detection of diseases like...

Biallelic loss-of-function variants in ZNF142 are associated with a robust DNA methylation signature affecting a limited number of genomic loci.

Biallelic inactivating variants in ZNF142 underlie a clinically variable neurodevelopmental disorder...

Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study.

BACKGROUND: The COVID-19 pandemic has inflicted global devastation, infecting over 750 million and c...

Deconstructing the GWAS library - Next Generation GWAS.

Genome-wide association studies (GWAS) have identified numerous common genetic variants associated w...

COVID-19CT+: A public dataset of CT images for COVID-19 retrospective analysis.

Background and objectiveCOVID-19 is considered as the biggest global health disaster in the 21st cen...

Spatiotemporal variations in Pearl River plume dispersion over the last decade based on VIIRS-derived sea surface salinity.

A river plume indicates the dispersion and transport path of pollutants from runoff, monitoring the ...

Fast3VmrMLM: A fast algorithm that integrates genome-wide scanning with machine learning to accelerate gene mining and breeding by design for polygenic traits in large-scale GWAS datasets.

Genetic dissection and breeding by design for polygenic traits remain challenges. To meet these chal...

Application of Machine Learning and Emerging Health Technologies in the Uptake of HIV Testing: Bibliometric Analysis of Studies Published From 2000 to 2024.

BACKGROUND: The global targets for HIV testing for achieving the Joint United Nations Programme on H...