Latest AI and machine learning research in lupus for healthcare professionals.
Clinical decision-making for multi-morbid patients requires synthesizing evidence from lengthy, frag...
Dopamine (DA) and acetylcholine (ACh) are key neuromodulators that regulate striatal circuits underl...
Lupus nephritis (LuN) and renal allograft rejection (RAR) manifest inflammation and fibrosis that ul...
Spatially resolved transcriptomics (SRT) is a promising new technology that enables simultaneous ana...
Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a systemic autoimmune dis...
Parkinson's disease is a neurodegenerative condition that affects the brain's neurons, and causes ma...
In recent times, graph neural networks (GNNs) have become essential tools in molecular graph learnin...
Multi-modal face anti-spoofing (FAS) aims to detect genuine human presence by extracting discrimin...
T cell receptor (TCR) repertoires encode critical immunological signatures for autoimmune diseases...
Emerging spatial profiling technologies have revolutionized our understanding of how tissue architec...
Cardiac arrhythmia is a common life-threatening cardiovascular disorder. Potassium channels play a c...
Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging...
Understanding the high-temperature properties of materials with (anti-)fluorite structures is crucia...
Neoadjuvant chemoradiotherapy (NACRT) is the standard treatment for locally advanced rectal cancer (...
Overlapping object perception aims to decouple the randomly overlapping foreground-background feat...
During prediction tasks, models can use any signal they receive to come up with the final answer -...
Drug addiction remains a complex global public health challenge, with traditional anti-addiction dru...
Context: Microservice Architecture is a popular architectural paradigm that facilitates flexibilit...
Face Anti-Spoofing (FAS) typically depends on a single visual modality when defending against pres...
PURPOSE: This study aimed to establish and validate a prediction model based on machine learning met...
This study presents a primary dataset collected from one hospital and three laboratories in Iraq bet...