Objectives. To review studies that address prediction of response to biologic treatment in RA
and to explore the clinical utility of the studied (bio) markers. Methods. A search for relevant …

The clinical course of autoimmune and infectious disease varies greatly, even between
individuals with the same condition. An understanding of the molecular basis for this …

Gene expression has recently been at the forefront of advance in personalized medicine,
notably in the field of cancer and transplantation, providing a rational for a similar approach …

Gene selection is a demanding task for microarray data analysis. The diverse complexity of
different cancers makes this issue still challenging. In this study, a novel evolutionary …

Simple Summary Anti-cancer drug response prediction models aim to reduce the time
necessary for developing a treatment for patients affected by this complex disease. Their …

Objectives: For rheumatoid arthritis (RA) patients failing to achieve treatment targets with
conventional synthetic disease-modifying antirheumatic drugs, tumor necrosis factor (TNF)-α …

Introduction Timely matching of patients to beneficial targeted therapy is an unmet need in
rheumatoid arthritis (RA). A molecular signature response classifier (MSRC) that predicts …

Objective We analyzed NAD+ metabolism in patients with rheumatoid arthritis (RA), its
association with disease activity and clinical outcomes of RA, and the therapeutic potential …

Automatically recognizing facial expression is an important part for human-machine
interaction. In this paper, we first review the previous studies on both 2D and 3D facial …

Abstract Introduction The PrismRA® test identifies rheumatoid arthritis (RA) patients who are
unlikely to respond to anti-tumor necrosis factor (anti-TNF) therapies. This study evaluated …