Latest AI and machine learning research in universal precautions for healthcare professionals.
Drug-induced liver injury (DILI) is an acute inflammatory liver disease caused not only by prescript...
Estimating heterogeneous treatment effects (HTEs) from right-censored survival data is critical in h...
Many real-world computer vision tasks, such as depth completion, must handle inputs with arbitrarily...
Background: The 2024 blood culture bottle shortage brought diagnostic resource allocation to the for...
The protein-protein interactions (PPIs) between viruses and human play crucial roles in viral infect...
Drug discovery is often constrained by target identification, a bottleneck especially acute in antim...
Motion transfer has emerged as a promising direction for controllable video generation, yet existing...
Foundation vision models are increasingly adopted in medical image analysis. Due to domain shift, th...
Image-driven video editing aims to propagate edit contents from the modified first frame to the rest...
Large multimodal models (LMMs) exhibit strong task generalization capabilities, offering new opportu...
At present, there are no easily understood explainable artificial intelligence (AI) methods for disc...
We present SPRITETOMESH, a fully automatic pipeline for converting 2D game sprite images into triang...
Graph-based medical image segmentation represents anatomical structures using boundary graphs, provi...
Tuberculosis (TB) is the worldwide leading infectious killer due to a single pathogen and increasing...
Inverse lithography (ILT) is critical for modern semiconductor manufacturing but suffers from highly...
Mobile genetic elements and genomic islands (GIs) frequently encode antibiotic resistance and host-a...
Accurate identification of unknown pathogens is critical for medicine and public health, yet current...
Learning from electronic health records (EHRs) time series is challenging due to irregular sam- plin...
C-type lectins (CTLs) play key roles in innate immunity and microbial carbohydrate recognition. In t...
Background: Liver cancer primarily develops in patients with chronic liver disease (CLD), yet most c...
Current instance segmentation models achieve high performance on average predictions, but lack princ...