Rheumatology

Lupus

Latest AI and machine learning research in lupus for healthcare professionals.

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Tribulus terrestris L. Extract Alleviates Atherosclerosis by Suppressing TNF-α-Mediated Macrophage Inflammation.

Atherosclerosis (AS) is a major contributor to cardiovascular disease. In traditional Chinese medici...

Targeting high-risk multiple myeloma genotypes with optimized anti-CD70 CAR T cells.

Despite the success of B-cell maturation antigen (BCMA)-targeting chimeric antigen receptor (CAR) T ...

Dataset on droplet spreading and rebound behavior of water and viscous water-glycerol mixtures on superhydrophobic surfaces with laser-made channels.

Droplet impact, spreading and rebound was investigated experimentally on superhydrophobic laser-text...

Application of Machine Learning (ML) approach in discovery of novel drug targets against Leishmania: A computational based approach.

Molecules with potent anti-leishmanial activity play a crucial role in identifying treatments for le...

Anti-Symmetric Molecular Graph Learning Approach With Residual Adaptive Network Based Fuzzy Inference System for Lethal Dose Forecasting Problem.

In recent times, graph neural networks (GNNs) have become essential tools in molecular graph learnin...

Cells Keep Diverse Company in Diseased Tissues.

Emerging spatial profiling technologies have revolutionized our understanding of how tissue architec...

Traditional Chinese Medicine for Anti-Arrhythmias: Mechanisms via Potassium Channels.

Cardiac arrhythmia is a common life-threatening cardiovascular disorder. Potassium channels play a c...

Advancing T-cell immunotherapy for cellular senescence and disease: Mechanisms, challenges, and clinical prospects.

Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging...

Specific heat anomalies and local symmetry breaking in (anti-)fluorite materials: A machine learning molecular dynamics study.

Understanding the high-temperature properties of materials with (anti-)fluorite structures is crucia...

[Progress in neoadjuvant immunotherapy for locally advanced rectal cancer].

Neoadjuvant chemoradiotherapy (NACRT) is the standard treatment for locally advanced rectal cancer (...

Artificial intelligence approaches for anti-addiction drug discovery.

Drug addiction remains a complex global public health challenge, with traditional anti-addiction dru...

Diagnosis of rheumatic and autoimmune diseases dataset.

This study presents a primary dataset collected from one hospital and three laboratories in Iraq bet...

Predicting response to anti-VEGF therapy in neovascular age-related macular degeneration using random forest and SHAP algorithms.

PURPOSE: This study aimed to establish and validate a prediction model based on machine learning met...

Exploration of Active Substances and Its Potential Mechanism of Gancao Fuzi Decoction on Inflammatory Based on Metabolomics and Network Pharmacology.

Gancao Fuzi decoction (GCFZT) is a traditional Chinese formula, which has been commonly used in clin...

[Acupuncture effects and neuro-immune regulation: a breakthrough in "treating diseases at the root"].

The holistic philosophy of traditional Chinese medicine (TCM) embodied in acupuncture therapy has ga...

First nomogram for predicting interstitial lung disease and pulmonary arterial hypertension in SLE: a machine learning approach.

BACKGROUND: Interstitial lung disease (ILD) and pulmonary arterial hypertension (PAH) are severe, li...

A Digital Score Based on Circulating-Tumor-Cells-Derived mRNA Quantification and Machine Learning for Early Colorectal Cancer Detection.

Circulating tumor cells (CTCs) serve as valuable biomarkers in tumor circulation, carrying essential...

Deep transfer learning approach for automated cell death classification reveals novel ferroptosis-inducing agents in subsets of B-ALL.

Ferroptosis is a recently described type of regulated necrotic cell death whose induction has anti-c...

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