Rheumatology

Computational anti-COVID-19 drug design: progress and challenges.

Vaccines have made gratifying progress in preventing the 2019 coronavirus disease (COVID-19) pandemi...

circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier.

Circular RNAs (circRNAs) generally bind to RNA-binding proteins (RBPs) to play an important role in ...

Towards gender equity in artificial intelligence and machine learning applications in dermatology.

There has been increased excitement around the use of machine learning (ML) and artificial intellige...

Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects.

Drug combinations have exhibited promising therapeutic effects in treating cancer patients with less...

Unveiling the immune infiltrate modulation in cancer and response to immunotherapy by MIXTURE-an enhanced deconvolution method.

The accurate quantification of tumor-infiltrating immune cells turns crucial to uncover their role i...

Large-scale comparative review and assessment of computational methods for anti-cancer peptide identification.

Anti-cancer peptides (ACPs) are known as potential therapeutics for cancer. Due to their unique abil...

Artificial Intelligence for Prediction of Anti-VEGF Treatment Burden in Retinal Diseases: Towards Precision Medicine.

A convolutional neural network algorithm for breast tumor detection with magnetic detection electrical impedance tomography.

Breast cancer is a malignant tumor disease for which early detection, diagnosis, and treatment are o...

Dr AFC: drug repositioning through anti-fibrosis characteristic.

Fibrosis is a key component in the pathogenic mechanism of a variety of diseases. These diseases inv...

Predictive modeling based on small data in clinical medicine: RBF-based additive input-doubling method.

The paper considers the problem of handling short sets of medical data. Effectively solving this pro...

Classifying Pseudogout Using Machine Learning Approaches With Electronic Health Record Data.

OBJECTIVE: Identifying pseudogout in large data sets is difficult due to its episodic nature and a l...

Machine Learning in Rheumatic Diseases.

With advances in information technology, the demand for using data science to enhance healthcare and...

The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases.

Kinases form the backbone of numerous cell signaling pathways, with their dysfunction similarly impl...

SERUM ZONULIN LEVELS IN HYPOTHYROID AND EUTHYROID PATIENTS WITH HASHIMOTO'S THYROIDITIS - A PILOT STUDY.

CONTEXT: Human zonulin is a protein that regulates the intercellular tight junctions in various tiss...

Chronic kidney disease in Hepatitis C and its association with liver cirrhosis and viral load: Revealing the importance of hematuria.

Hepatitis C virus (HCV) contributed as a risk factor for chronic kidney disease (CKD). Many studies ...

Phytochemicals Analysis and Some Bioactive Properties of Salisb. (EMS); Antibacterial, Antiradical and Anti-lipid Peroxidation.

In the present study, the phenolic content by using LC MS/MS method, anticholinergic, antioxidant (m...

Unexpected Inequality: Disparate-Impact From Artificial Intelligence in Healthcare Decisions.

Systemic discrimination in healthcare plagues marginalized groups. Physicians incorrectly view peopl...

[High-efficiency separation and analysis of monosaccharides in Pueraria polysaccharides by pressurized capillary electrochromatography].

Pueraria polysaccharides have been proven to possess biological activities such as bacteriostasis, a...

Optical coherence tomography-based diabetic macula edema screening with artificial intelligence.

BACKGROUND: Optical coherence tomography (OCT) is considered as a sensitive and noninvasive tool to ...

Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learning.

Many problems exist within the myriad of currently employed screening and diagnostic methods. Furthe...

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...