Latest AI and machine learning research in covid-19 for healthcare professionals.
Self-assembling protein cages are versatile nanoscale architectures with broad applications in drug ...
Spatial transcriptomics couples hematoxylin and eosin (H&E) tissue morphology with spatially resolve...
Somatic variant calling, the identification of mutations in non-germline cells acquired over an indi...
Translating genome-wide association studies (GWAS) signals into trait-relevant cellular contexts rem...
Noncoding regulatory variants contribute to colorectal cancer (CRC) susceptibility, yet their functi...
Precision medicine aims to advance our ability from a "one-size-fits-all" approach to personalized a...
Background As lockdown measures was eased, pregnant women faced an elevated risk of COVID-19 infecti...
Peptide therapeutics are increasingly used to treat challenging diseases, but immunogenicity risks l...
Cells that store lipids for other cells or organs can contain ''giant'' or large lipid droplets (LLD...
Volumetric Reasoning Segmentation (VRS) aims to segment a target region in a 3D medical scan from a ...
Distilling demonstration effects into hidden-space interventions offers a lightweight alternative to...
3D editing is a fundamental capability for scalable 3D content creation. While image editing has rap...
Protein structure generative models excel at predicting single protein static structures from sequen...
Background: Identifying the geographic origin of epidemic waves early is critical for targeted publi...
Tuberculosis remains a leading cause of infectious disease mortality, and the continued emergence of...
Camouflaged object detection (COD) from a single image is a challenging task due to the high similar...
Estimating the precise timing of batting impact is crucial for understanding the rapid sensorimotor ...
Foundation segmentation models such as Segment Anything Model (SAM) are now routinely used in iterat...
Automated pavement distress assessment requires more than image-level classification or coarse bound...
Alternative splicing of mRNA precursors is an important step in gene regulation and a major mechanis...
Background: Machine-learning models based on circulating biomarkers are increasingly used in cardiov...