Latest AI and machine learning research in lupus for healthcare professionals.
The process of drug discovery is intricate, and encompasses a series of detailed phases of research,...
Lactate dehydrogenase A (LDHA) is a promising target for cancer therapy due to its crucial role in a...
Characterized by high malignancy and limited treatment efficacy, triple-negative breast cancer (TNBC...
The development of integrated circuits and artificial intelligence demands electronic devices with v...
BACKGROUND: Chronic Dysimmune Polyneuropathies (CDP) encompass a group of conditions characterized b...
Tuberculosis (TB) remains a world health problem due to the high number of affected individuals, hig...
The novel anti-glaucoma ophthalmic preparation containing latanoprost, netarsudil, and benzalkonium ...
Spatially resolved transcriptomics enables mapping of multiplexed gene expression within tissue cont...
Monitoring biomarkers offers insights for early disease (e.g., cancer, chronic diseases) screening, ...
BACKGROUND: The accurate prediction of epitopes associated with Systemic Lupus Erythematosus (SLE) p...
BACKGROUND: Diabetic macular edema (DME) is a leading cause of vision loss in diabetes, with variabl...
BACKGROUND: To improve the prediction of immune checkpoint inhibitors (ICIs) efficacy in hepatocellu...
Systemic Lupus Erythematosus (SLE) is a chronic, autoimmune disease characterized by multiple organ ...
This study employed multiple machine learning (ML) methods to model and predict key attributes of PL...
Robot anthropomorphic characteristics have not only been widely manifested in production practices, ...
Despite advances in precision oncology, developing effective cancer therapeutics remains a significa...
Due to the promotive role of inflammation in tumor progression, designing multifunctional nanomedici...
Granulomatous rosacea (GR) and lupus miliaris disseminatus faciei (LMDF) exhibit overlapping clinica...
PURPOSE: Pain management after cardiac surgery is imperative, as inadequate analgesia can increase t...
Bio-instructive materials that intrinsically inhibit biofilm formation have significant anti-biofoul...
Reproductive aging impacts women's health through fertility decline, disease susceptibility, and sys...