Latest AI and machine learning research in lupus for healthcare professionals.
Face Anti-Spoofing (FAS) algorithms, designed to secure face recognition systems against spoofing, s...
Stain variability is a pervasive source of distribution shift and potential shortcut learning in ren...
Thermal imaging is crucial for night vision but fundamentally hampered by the ghosting effect, a los...
Accurate drug response prediction is a critical bottleneck in computational biochemistry, limited by...
Detecting small unmanned aerial vehicles (UAVs) from a ground-to-air (G2A) perspective presents sign...
Background: Manual chart abstraction is a major bottleneck in clinical research. In oncology, import...
Advances in diffusion-based video generation models, while significantly improving human animation, ...
Lifelong person re-identification (LReID) aims to learn from varying domains to obtain a unified per...
Background: Plants produce diverse metabolites with potential benefits for human health. However, th...
To characterize lobar and segmental airway volume differences between systemic lupus erythematosus (...
Recombinant human Interleukin-2 (rhIL-2, Aldesleukin) is used in immunotherapy for metastatic melano...
Background: Previous research has shown that radiomics-based machine learning models are promising p...
Retinal is a chromophore covalently bound to various photoreceptors. Its photo-induced isomerization...
Psoriasis affects over 125 million people worldwide, yet the mechanistic understanding of keratinocy...
Objective: To apply large language models (LLMs) to Reddit posts referencing systemic lupus erythema...
Accurate identification of unknown pathogens is critical for medicine and public health, yet current...
Systemic lupus erythematosus (SLE) is a highly heterogeneous autoimmune disease with complex immune ...
The rapid advancement of AI-Generated Content (AIGC) technologies poses significant challenges for a...
Systemic autoimmune rheumatic diseases (SARDs) are a heterogeneous group of autoimmune conditions ch...
\emph{Memorization} in neural networks lacks a precise operational definition and is often inferred ...
Latent-based watermarks, integrated into the generation process of latent diffusion models (LDMs), s...