Latest AI and machine learning research in lupus for healthcare professionals.
Protein sequence design is a highly challenging task, aimed at discovering new proteins that are mor...
This paper proposes a strictly predefined-time convergent and anti-noise fractional-order zeroing ne...
Clinical diagnosis typically incorporates physical examination, patient history, various laboratory ...
BACKGROUND: Anti-CD19 chimeric antigen receptor T-cell (CAR-T) therapy has emerged as a promising tr...
PURPOSE: To utilize a convolutional neural network (CNN) to predict the response of treatment-naïve ...
OBJECTIVE: Early prediction of long-term outcomes in patients with systemic lupus erythematosus (SLE...
Diabetic Macular Edema (DME) is a major complication of diabetic retinopathy characterized by fluid ...
Transient receptor potential vanilloid 4 (TRPV4) is a calcium-permeable cation channel critical for ...
Identifying new anti-seizure medications (ASMs) is difficult due to limitations in animal-based assa...
Acute myeloid leukemia (AML) remains a devastating diagnosis in clear need of therapeutic advances. ...
INTRODUCTION: Lupus nephritis (LN) is one of the most frequent and serious organic manifestations of...
Multiple myeloma is a hematologic malignancy characterized by the proliferation of abnormal plasma c...
Electroencephalography (EEG) is invaluable in the management of acute neurological emergencies. Char...
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to persist, demonstrating the...
Human organic cation transporter 2 (hOCT2/SLC22A2) is a key drug transporter that facilitates the tr...
BACKGROUND: Monkeypox (Mpox) is a re-emerging zoonotic disease with limited therapeutic options, nec...
BACKGROUND: Age-related macular degeneration (AMD) is a prevalent cause of irreversible vision loss ...
PURPOSE: Drug-induced liver injury (DILI) is one of the most common and serious adverse drug reactio...
INTRODUCTION: Hepatocellular carcinoma (HCC) is the sixth most common type of cancer and the second ...
In recent years, machine learning has gained substantial attention for its ability to predict comple...
Identifying drug-target binding affinity (DTA) plays a critical role in early-stage drug discovery. ...