Rheumatology

Measuring Anatomical Outcomes of Anti-Vascular Endothelial Growth Factor Treatment of Diabetic Macular Edema With Artificial Intelligence-A Step Toward Individualized Medicine.

Investigation of the biochemical and apoptotic changes in breast cancer cells treated with leaf extract from tea (Camellia sinensis L.) grown with added boric acid.

Tea obtained from the leaves of Camellia sinensis L., a medicinal plant, is a widely popular beverage. Deficiency in boron, a micronutrient for C. sinensis, affects the growth as well as the quality of tea. The aim of this study was to explore whether boric acid at various concentrations added to soil improves the quality of C. sinensis and also whether it changes the apoptotic, anti-proliferative...

Investigating the anti-angiogenic effects of Fufang Kushen Injection in combination with cisplatin using a zebrafish model.

The Traditional Chinese Medicine formula Fufang Kushen Injection (FKI) has demonstrated potential to enhance the efficacy and reduce the toxicity of t...

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 of degradative enzymes manifest as atrophy, wrinkl...

A machine-learning approach to cardiovascular risk prediction in psoriatic arthritis.

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 segmentation. However, the prediction of drug effec...

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 understanding how cell fate is determined. The probl...

Machine learning predicts new anti-CRISPR proteins.

The increasing use of CRISPR-Cas9 in medicine, agriculture, and synthetic biology has accelerated the drive to discover new CRISPR-Cas inhibitors as p...

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 sharp rise in publications. The primary objective of...

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

BACKGROUND: Tuberculosis is one of the biggest threats to human health. Recent studies have demonstrated that anti-tubercular peptides are promising c...

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 clinically desirable for timely initiation of multimodal th...

Application of Artificial Intelligence in Targeting Retinal Diseases.

Retinal diseases affect an increasing number of patients worldwide because of the aging population. Request for diagnostic imaging in ophthalmology is...

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). One of the key tasks for post-GWAS analyses is to id...

[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 pathological diagnosis was Stage ⅡB. He received adjuvant c...

Artificial Intelligence (AI) and rheumatology: a potential partnership.

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. Currently, prostate cancer research involves the phyto...

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 years because of the advent of antibodies targeting pr...

Application of machine learning in the diagnosis of axial spondyloarthritis.

PURPOSE OF REVIEW: In this review article, we describe the development and application of machine-learning models in the field of rheumatology to impr...

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 the work presented work is to classify and categori...

High-throughput screening and Bayesian machine learning for copper-dependent inhibitors of Staphylococcus aureus.

One potential source of new antibacterials is through probing existing chemical libraries for copper-dependent inhibitors (CDIs), i.e., molecules with...