Latest AI and machine learning research in rheumatology for healthcare professionals.
Translating transcriptomic data into therapeutic hypotheses remains fragmented and labor-intensive. ...
Rheumatoid arthritis (RA) assessment from hand radiographs requires multi-level analysis and modelin...
We present EDDY (Exact-marginal Diversification via Divergence-free dYnamics), a guidance mechanism ...
Kawasaki disease (KD) is a systemic vasculitis in young children, and early diagnosis remains challe...
Objectives This study aimed to develop and validate machine learning models to predict in-hospital m...
The rapid growth of molecular foundation models and general-purpose large language models has encour...
Disease progression varies with age and is influenced by underlying genetic, biochemical, and hormon...
Metabolic dysfunction is increasingly recognized as a risk factor for poor outcomes in breast cancer...
Anti-doping programs rely on biological testing to detect performance-enhancing drugs, but such test...
The capacity to generate high-dimensional biological datasets has outpaced the ability to interpret ...
Adaptive medical AI models often face performance drops in dynamic clinical environments due to data...
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...
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...
To characterize lobar and segmental airway volume differences between systemic lupus erythematosus (...
Self-supervised learning (SSL) has revolutionized representation learning, with Joint-Embedding Arch...
The T cell's ability to discern self and non-self depends on its T cell receptor (TCR), which recogn...