Rheumatology

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

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Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...

Machine learning-assisted tacrolimus dose optimization in childhood- onset systemic lupus erythematosus through population pharmacokinetic modeling.

OBJECTIVE: This study aimed to improve treatment effectiveness in childhood-onset systemic lupus ery...

Comparative evaluation of ChatGPT and LLaMA for reliability, quality, and accuracy in familial Mediterranean fever.

UNLABELLED: Familial Mediterranean fever (FMF) is the most common monogenic autoinflammatory disease...

AI-based virtual immunocytochemistry for rapid and robust fine needle aspiration biopsy diagnosis.

Presently, pathologists need to stain biopsy samples with standard and antibody-based immunocytochem...

Diagnostics of Autoimmune Hepatitis Enabled by Non-Invasive Clinical Proteomics.

BACKGROUND: Autoimmune hepatitis (AIH) may be difficult to diagnose and distinguish clinically and b...

Artificial intelligence-based diabetes risk prediction from longitudinal DXA bone measurements.

Diabetes mellitus (DM) is a serious global health concern that poses a significant threat to human l...

Anti-Quasisynchronization for Asynchronous Leader-Follower Markovian Neural Networks With Hidden Markov Model-Based Intermittent Control.

This study focuses on anti-quasisynchronization for discrete-time asynchronous leader-follower Marko...

Machine learning to forecast rituximab responses for paediatric immune thrombocytopenia: Forging a path towards personalized medical care.

Primary immune thrombocytopenia (ITP) is an autoimmune disorder characterized by decreased platelet ...

Developing angiogenesis-related prognostic biomarkers and therapeutic strategies in bladder cancer using deep learning and machine learning.

Bladder cancer (BLCA) is a prevalent urological malignancy that exhibits a high degree of tumor hete...

Comparative effectiveness of anti-seizure medications in emulated trials using medical informatics.

Anti-seizure medications (ASMs) are often prescribed using a trial-and-error approach with a similar...

Class and isotype of VlsE-specific antibody differentiates Lyme disease stage.

UNLABELLED: Establishment of immunoglobulin diversity is contingent on recombination that occurs bot...

BertADP: a fine-tuned protein language model for anti-diabetic peptide prediction.

BACKGROUND: Diabetes is a global metabolic disease that urgently calls for the development of new an...

ML enhanced bioactivity prediction for angiotensin II receptor: A potential anti-hypertensive drug target.

The process of drug discovery is intricate, and encompasses a series of detailed phases of research,...

Immunodiagnostic plasma amino acid residue biomarkers detect cancer early and predict treatment response.

The immune response to tumour development is frequently targeted with therapeutics but remains large...

Interpretive prediction of hyperuricemia and gout patients via machine learning analysis of human gut microbiome.

Hyperuricemia (HUA) and gout result from imbalances in uric acid metabolism and are closely associat...

PediMS: A Pediatric Multiple Sclerosis Lesion Segmentation Dataset.

Multiple Sclerosis (MS) is a chronic autoimmune disease that primarily affects the central nervous s...

UBE2D1 as a key biomarker in systemic juvenile idiopathic arthritis: a new perspective on diagnosis and disease activity assessment.

BACKGROUND: Early diagnosis is crucial for reducing disability and improving long-term prognosis in ...

Deep learning for giant cell arteritis diagnosis on temporal artery biopsy.

OBJECTIVES: Giant Cell Arteritis (GCA) is a vasculitis affecting large and medium-caliber arteries, ...

Artificial intelligence-driven discovery of YH395A: A novel TGFβR1 inhibitor with potent anti-tumor activity against triple-negative breast cancer.

Characterized by high malignancy and limited treatment efficacy, triple-negative breast cancer (TNBC...

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