Latest AI and machine learning research in rheumatology for healthcare professionals.
Machine learning techniques have been widely used in drug discovery and development in the areas of cheminformatics. Aspartyl aminopeptidase (M18AAP) of Plasmodium falciparum is crucial for survival of malaria parasite. We have created predictive models using weka and evaluated their performance based on various statistical parameters. Random Forest based model was found to be the most specificity...
There is a growing need to identify new, broad-spectrum antibiotics. The natural product spergualin was previously shown to have promising anti-bacterial activity and a privileged structure, but its challenging synthesis had limited further exploration. For example, syntheses of spergualin and its analogs have been reported in approximately 10 linear steps, with overall yields between 0.3 and 18%....
BACKGROUND: The objective of this study was to investigate whether an anti-spasticity medication can facilitate the effects of robotic locomotor tread...
The evaluation of the leishmanicidal and trypanocidal activity of the hydroalcoholic extract of the bark of Mart. (EHCSR) was carried out to find an ...
UNLABELLED: Recent studies have posited that machine learning (ML) techniques accurately classify individuals with and without pain solely based on ne...
Systemic erythematosus lupus (SLE) is a multisystemic autoimmune disease which has nephritis as one of the most striking manifestations. Although it c...
Putatively functional polymorphisms of one-carbon and xenobiotic metabolic pathways influence susceptibility for wide spectrum of diseases. The curren...
Candida albicans has become resistant to the commercially available, toxic, and expensive anti-Candida agents that are on the market. These factors fo...
This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating the anti-obesity property of a potent medicinal plan...
We present the nanosurgery on the cytoskeleton of live cells using AFM based nanorobotics to achieve adhesiolysis and mimic the effect of pathophysiol...
Objectives To evaluate whether access to a certified large language model (LLM)-based clinical decision support system improves physician diagnostic p...
Introduction: C3 glomerulopathy (C3G) is driven by fluid-phase alternative complement pathway dysregulation, with emerging evidence linking glomerular...
Anti-amyloid therapies and blood-based biomarkers are changing Alzheimer disease workups into a two-stage measurement workflow: screen broadly with ch...
Chimeric antigen receptor (CAR) cell therapy has achieved transformative clinical success through targeting of CD19 in refractory B cell malignancies,...
Open-world face anti-spoofing must address both covariate and semantic shifts: source and target domains differ in imaging conditions, while target do...
Computational design has transformed many fields of engineering, where simulators can explore millions of candidate design configurations before exper...
Spatial transcriptomics now profiles patient cohorts at single-cell resolution, enabling analysis of disease-associated cell organization in situ. How...
Background: Genome wide association studies (GWAS) often fail to identify higher-order epistatic interactions that contribute to complex inheritance p...
AI platforms for drug discovery routinely achieve high hit rates against biochemical targets, yet the central translational challenge remains predicti...
The human immune system excels at generating highly effective antibodies through natural selection and somatic hypermutation, but adapting these antib...