Lupus

antioxidant and anti-inflammatory activities of ethanol stem-bark extract of K.D. Koenig.

() K.D. Koenig (Family Sapindaceae) is a branchless straight bole approximately 15 m in length. The...

Drug ranking using machine learning systematically predicts the efficacy of anti-cancer drugs.

Artificial intelligence and machine learning (ML) promise to transform cancer therapies by accuratel...

Machine Learning for Prediction and Risk Stratification of Lupus Nephritis Renal Flare.

BACKGROUND: Renal flare of lupus nephritis (LN) is strongly associated with poor kidney outcomes, an...

Antimicrobial Activity of Necklace Orchids is Phylogenetically Clustered and can be Predicted With a Biological Response Method.

Necklace orchids (Coelogyninae, Epidendroideae) have been used in traditional medicine practices for...

Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseases.

In the context of the recently emerging COVID-19 pandemic, we developed a deep learning model that c...

Is Anti-Müllerian Hormone a Marker of Ovarian Reserve in Young Breast Cancer Patients Receiving a GnRH Analog during Chemotherapy?

INTRODUCTION: Anti-Müllerian hormone (AMH) is the most reliable biomarker of ovarian reserve; howeve...

SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning.

High resolution magnetic resonance (MR) images are desired in many clinical and research application...

A deep learning-based smartphone platform for cutaneous lupus erythematosus classification assistance: Simplifying the diagnosis of complicated diseases.

TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations.

Drug combinations have demonstrated great potential in cancer treatments. They alleviate drug resist...

Antibody Supervised Training of a Deep Learning Based Algorithm for Leukocyte Segmentation in Papillary Thyroid Carcinoma.

The quantity of leukocytes in papillary thyroid carcinoma (PTC) potentially have prognostic and trea...

Identification of drug combinations on the basis of machine learning to maximize anti-aging effects.

Aging is a multifactorial process that involves numerous genetic changes, so identifying anti-aging ...

Anti-senescent drug screening by deep learning-based morphology senescence scoring.

Advances in deep learning technology have enabled complex task solutions. The accuracy of image clas...

Impact of macular fluid volume fluctuations on visual acuity during anti-VEGF therapy in eyes with nAMD.

OBJECTIVES: To study the effect of repeated retinal thickness fluctuations during the anti-VEGF ther...

Network machine learning maps phytochemically rich "Hyperfoods" to fight COVID-19.

In this paper, we introduce a network machine learning method to identify potential bioactive anti-C...

A Machine Learning Approach to Identify Predictors of Potentially Inappropriate Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Use in Older Adults with Osteoarthritis.

Evidence from some studies suggest that osteoarthritis (OA) patients are often prescribed non-steroi...

Perioperative Outcomes of Patients Who Were Not Candidates for Additional Nonsteroidal Anti-inflammatory Drugs in a Multimodal Pain Control Regimen for Total Knee Arthroplasty.

BACKGROUD: Postoperative pain following total knee arthroplasty (TKA) may hamper patients from a rap...

Cytotoxicity and Anti-inflammatory Cytokinine Activity Study of Three Isolated Novel Compounds of .

OBJECTIVES: The aim of the present study was to isolate and evaluate cytotoxicity and anti-inflammat...

End-to-End Deep Learning Model for Predicting Treatment Requirements in Neovascular AMD From Longitudinal Retinal OCT Imaging.

Neovascular age-related macular degeneration (nAMD) is nowadays successfully treated with anti-VEGF ...

The effect of topical application of meloxicam on inflamed dental pulp.

BACKGROUND/PURPOSE: Effective regulation of the inflammatory process is essential for pulp repair an...

Identifying longevity associated genes by integrating gene expression and curated annotations.

Aging is a complex process with poorly understood genetic mechanisms. Recent studies have sought to ...

Machine Learning to Quantify Humoral Selection in Human Lupus Tubulointerstitial Inflammation.

In human lupus nephritis, tubulointerstitial inflammation (TII) is associated with expansion of B c...