COVID-19

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

Machine learning to predict de novo protein-protein interactions.

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

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...

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...

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...

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...

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 ...

Unmet needs in autoimmune liver diseases.

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

Phosphorylation enables allosteric control of a viral condensate.

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

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...

Deconstructing the GWAS library - Next Generation GWAS.

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

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...

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...

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 ...

Machine learning models for pharmacogenomic variant effect predictions - recent developments and future frontiers.

Pharmacogenomic variations in genes involved in drug disposition and in drug targets is a major dete...

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...

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...

Remote sensing-based detection of brown spot needle blight: a comprehensive review, and future directions.

Pine forests are increasingly threatened by needle diseases, including Brown Spot Needle Blight (BSN...

Applying computational protein design to therapeutic antibody discovery - current state and perspectives.

Machine learning applications in protein sciences have ushered in a new era for designing molecules ...

Making Sense of Missense: Benchmarking MutScore for Variant Interpretation in Inherited Cardiac Diseases.

BACKGROUND: Accurate interpretation of genetic variants still represents a major challenge. Accordin...

A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network.

Masked identification of faces is necessary for authentication purposes. Face masks are frequently u...