Rheumatology

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

4,224 articles
Stay Ahead - Weekly Rheumatology research updates
Subscribe
Browse Categories
Showing 1177-1197 of 4,224 articles
Assessing the Anti-cancer Therapeutic Mechanism of a Herbal Combination for Breast Cancer on System-level by a Network Pharmacological Approach.

BACKGROUND/AIM: Accumulating evidence has shown therapeutic effects of herbals on breast cancer, a c...

The anti-ageing effects of a natural peptide discovered by artificial intelligence.

OBJECTIVE: As skin ages, impaired extracellular matrix (ECM) protein synthesis and increased action ...

A Preliminary Study of Predicting Effectiveness of Anti-VEGF Injection Using OCT Images Based on Deep Learning.

Deep learning based radiomics have made great progress such as CNN based diagnosis and U-Net based s...

Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods.

Characterization of decision-making in cells in response to received signals is of importance for un...

Machine learning predicts new anti-CRISPR proteins.

The increasing use of CRISPR-Cas9 in medicine, agriculture, and synthetic biology has accelerated th...

Can artificial intelligence replace manual search for systematic literature? Review on cutaneous manifestations in primary Sjögren's syndrome.

OBJECTIVES: Manual systematic literature reviews are becoming increasingly challenging due to the sh...

Anti-cholinesterase and Neuroprotective Activities of Sweet and Bitter Apricot Kernels ( L.).

Apricot ( L.) is a fruit cultivated in various parts of the world. Both sweet and bitter kernels of ...

Application of Artificial Intelligence in Targeting Retinal Diseases.

Retinal diseases affect an increasing number of patients worldwide because of the aging population. ...

Use of artificial intelligence in imaging in rheumatology - current status and future perspectives.

After decades of basic research with many setbacks, artificial intelligence (AI) has recently obtain...

Machine-learning-based knowledge discovery in rheumatoid arthritis-related registry data to identify predictors of persistent pain.

Early detection of patients with chronic diseases at risk of developing persistent pain is clinicall...

iATP: A Sequence Based Method for Identifying Anti-tubercular Peptides.

BACKGROUND: Tuberculosis is one of the biggest threats to human health. Recent studies have demonstr...

Convolutional neural network model to predict causal risk factors that share complex regulatory features.

Major progress in disease genetics has been made through genome-wide association studies (GWASs). On...

[A Case of Disseminated Carcinomatosis of the Bone Marrow Developing 15 Months after Gastrectomy].

The patient was a 60-year-old man who underwent distal gastrectomy for gastric cancer. The pathologi...

Antiproliferative Activity of , , and in Interaction with the Prostatic Activity of CD82.

BACKGROUND: In recent years, prostate cancer prevails as one of the lead cancers affecting men. Curr...

Artificial Intelligence Estimates the Importance of Baseline Factors in Predicting Response to Anti-PD1 in Metastatic Melanoma.

OBJECTIVE: Prognosis of patients with metastatic melanoma has dramatically improved over recent year...

Classification and Assessment of Hand Arthritis Stage using Support Vector Machine.

Arthritis is one of the most common health problems affecting people around the world. The goal of t...

Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles.

Primary Sjogren's Syndrome (pSS) is a chronic autoimmune disease followed by exocrine gland dysfunct...

Browse Categories