Latest AI and machine learning research in rheumatology for healthcare professionals.
UNLABELLED: Recent studies have posited that machine learning (ML) techniques accurately classify in...
Systemic erythematosus lupus (SLE) is a multisystemic autoimmune disease which has nephritis as one ...
Putatively functional polymorphisms of one-carbon and xenobiotic metabolic pathways influence suscep...
Candida albicans has become resistant to the commercially available, toxic, and expensive anti-Candi...
This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating th...
We present the nanosurgery on the cytoskeleton of live cells using AFM based nanorobotics to achieve...
Simultaneous measurement of drugs used to treat cancer and medications prescribed to overcome resist...
Parkinson's disease is a neurodegenerative condition that affects the brain's neurons, and causes ma...
Despite the success of B-cell maturation antigen (BCMA)-targeting chimeric antigen receptor (CAR) T ...
UNLABELLED: Establishment of immunoglobulin diversity is contingent on recombination that occurs bot...
BACKGROUND AND OBJECTIVE: Chronic pain and major depressive disorder (MDD) are among the most preval...
Within the central nervous system, the myelin sheath is composed of elements known as myelin autoant...
Droplet impact, spreading and rebound was investigated experimentally on superhydrophobic laser-text...
OBJECTIVES: Systemic sclerosis (SSc) is a complex autoimmune disease with both known and unidentifie...
BACKGROUND: Mycophenolate mofetil (MMF), a cornerstone immunosuppressant for lupus nephritis, is inc...
Antiphospholipid syndrome is a rare systemic autoimmune disorder with complex pathophysiology and hi...
Autoimmune hepatitis, primary biliary cholangitis, and primary sclerosing cholangitis are well-defin...
Wnt signaling is important in embryonic development and tumorigenesis. These biological effects can ...
PI3Kγ is a lipid kinase that is expressed primarily in leukocytes and plays a significant role in tu...
Molecules with potent anti-leishmanial activity play a crucial role in identifying treatments for le...
In recent times, graph neural networks (GNNs) have become essential tools in molecular graph learnin...