Lupus

cGAS-STING pathway regulated by spatiotemporal heterogeneity of tumor microenvironment and precision therapy strategies in lung cancer.

The cGAS-STING pathway is a central regulator of innate immunity and exhibits a complex dual function in lung cancer: it can activate anti-tumor immune responses but also promote immune escape and metastasis. This "double-edged sword" effect is highly dependent on the spatiotemporal heterogeneity of the tumor microenvironment (TME), referring to dynamic changes in immune and metabolic features acr...

Remission, Relapse, and Thyroid-Related Parameters Measurement at Discontinuation of Low-Dose Anti-Thyroid Drugs in Graves' Disease.

BACKGROUND: This study aimed to elucidate the relationship between thyroid-related parameters and the prognosis of Graves' disease (GD). METHODS: This retrospective cohort study included patients newly diagnosed with GD between January 2009 and December 2010. We applied multivariable Cox proportional hazard models to estimate the hazard ratio (HR) and 95% confidence intervals (CI) for the relation...

Artificial Intelligence-based Online Symptom Assessment Tools for Systemic Lupus Erythematosus (SLE) diagnosis: Patient Perspectives.

OBJECTIVE: The objective of this article is to identify perceptions of SLE patients regarding artificial intelligence (AI)-based online symptom assess...

Automatic choroid plexus assessment in SLE: a deep learning-enabled study.

PURPOSE: This study developed a deep learning model for automated choroid plexus (ChP) segmentation and examined its relationship with systemic inflam...

Integrative bioinformatics and machine learning reveal an association of LTF and MMP8 with systemic inflammation and lung injury.

BACKGROUND: Acute lung injury and its severe form, acute respiratory distress syndrome (ARDS), represent life-threatening conditions with high mortali...

Immunological Drug-Drug Interactions in Immune Checkpoint Inhibitor Therapy: Mechanisms, Clinical Evidence, and Artificial Intelligence.

PURPOSE OF REVIEW: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, producing durable responses across multiple malignancies. Howe...

Recent advances in the molecular interactions of anti-cancer peptides with cellular targets.

Anti-cancer peptides (ACPs) selectively kill tumor cells through membrane disruption, intracellular target engagement, and immune activation. Recent s...

E2F2 and TFDP1 as novel systemic lupus erythematosus (SLE) diagnostic markers and therapeutic targets based on machine learning and experimental study.

BACKGROUND: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease influenced by multiple genetic and environmental factors.. This study u...

Ensemble learning-guided discovery of anti-tuberculosis phytochemicals: computational prediction and mechanistic insights.

Tuberculosis (TB) remains a major global health challenge driven by persistent Mycobacterium tuberculosis infection and increasing drug resistance. Ph...

Exploring anti-dengue activity with atomic-weighted vectors, class balancing and machine learning.

Dengue is a major mosquito-borne viral disease with no effective antiviral treatment currently available. This work introduces a machine-learning fram...

Piezochromic hydrogels for physically unclonable optical anti-counterfeiting with machine-learning assisted automatic identification.

Developing high-security anticounterfeiting with reliable authentication remains a significant challenge in preventing information leakage and economi...

Prognostic Imaging Biomarkers in Diabetic Macular Edema Treated with Anti-VEGF: A Multicenter AI Perspective.

INTRODUCTION: This study aimed to identify optical coherence tomography (OCT) biomarkers at baseline and after the loading phase (LP) of antivascular ...

Multimodal deep learning prediction of treatment response to anti-vascular endothelial growth factor in diabetic macular oedema.

OBJECTIVE: To develop and validate a multimodal deep learning model that predicts treatment responses to intravitreal anti-vascular endothelial growth...

Cosine similarity analysis of venom proteomes of Indian cobras, Naja naja and Naja kaouthia reveals significant interspecies and geographic variations.

The Indian cobra (genus Naja) is one of the 'Big Fours' responsible for dreaded snakebite incidents in India. Immediate anti-snake venom (ASV) treatme...

Machine learning-based cardiovascular risk prediction in systemic lupus erythematosus: development and internal validation of a prognostic model.

BACKGROUND: Cardiovascular (CV) diseases are the leading cause of mortality in patients with systemic lupus erythematosus (SLE). While traditional ris...

Identification of COL5A1 and TGFBI as key basement membrane genes and their molecular mechanisms in gestational diabetes mellitus.

Gestational diabetes mellitus (GDM) is a common complication during pregnancy, but the role of the basement membrane (BM) in GDM is not well understoo...

The melting properties of choline chloride in the representation of deep eutectic system phase diagrams.

Choline chloride (ChCl) is the cornerstone of deep eutectic solvents (DES), yet its melting properties remain an important source of uncertainty in th...

CARS-AMP: A Simple and Efficient Deep Learning Model for Antimicrobial Peptide Prediction.

With the increase in global antibiotic resistance, there is an urgent demand for antibiotic substitutes, for which antimicrobial peptides (AMPs) have ...

Balancing Speed and Sensitivity: Echo-Planar Accelerated MRI for ARIA-H Screening in Anti-Aβ Therapeutics.

The recent advent of anti-amyloid-β monoclonal antibodies has introduced new demands for MRI-based screening of amyloid-related imaging abnormalities,...

Advancing IBD Management: A Literature Review on the Role of Non-Invasive Blood-Based Biomarkers in Predicting and Assessing Pharmacodynamic Response to Treatment.

Reliable biomarkers that enable noninvasive, longitudinal assessment of disease activity and therapeutic response remain a major unmet need in inflamm...