Results 241 to 250 of about 888,632 (296)

GS-DTI: a graph-structure-aware framework leveraging large language models for drug-target interaction prediction. [PDF]

Bioinformatics
Yu Q, Zhou C, Jiang J, Shi X, Li Y.
europepmc   +1 more source

Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus

Arthritis Care &Research, EarlyView.
Objective Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined the following: (1) associations between economic insecurities and PROs, and (2) the impact of screening and addressing economic ...
Jay Patel, Tripti Singh, Meredith Ingersoll, Shelby Gomez, Amanda Weber, Sarah E. Panzer, Sancia Ferguson, Christie M. Bartels, Shivani Garg   +8 more
wiley   +1 more source

Top-DTI: integrating topological deep learning and large language models for drug-target interaction prediction. [PDF]

Bioinformatics
Talo M, Bozdag S.
europepmc   +1 more source

Use of a Molecular Signature Response Classifier to Inform Treatment Selection Improves Clinical Disease Activity Among Patients with Rheumatoid Arthritis Initiating a Biologic or Targeted Synthetic Disease‐Modifying Antirheumatic Drug

Arthritis Care &Research, EarlyView.
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD). Methods PrismRA incorporated 19 gene expression features and four clinical features to assess a patient's likelihood of
Fenglong Xie, Timothy Beukelman, Nicholas P. McCormick, Jeffrey R. Curtis   +3 more
wiley   +1 more source

DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit. [PDF]

BMC Bioinformatics
Gananathan K, Manjula D, Sugumaran V.
europepmc   +1 more source

Clinical Significance of Therapeutic Drug Level Monitoring for Mycophenolate in Patients With Extrarenal Systemic Lupus Erythematosus—A Systematic Review and Meta‐Analysis

Arthritis Care &Research, EarlyView.
Objective Clinical response to mycophenolic acid (MPA) is highly heterogeneous; thus, therapeutic drug level monitoring (TDM) may help improve treatment efficacy. This systematic review and meta‐analysis examined therapeutic ranges for MPA levels associated with better outcomes and safety in patients with systemic lupus erythematosus (SLE ...
Zahraa Qamhieh, Dalia Sriwi, Callie Saric, Tripti Singh, Christie M. Bartels, Shivani Garg   +5 more
wiley   +1 more source

H2GnnDTI: hierarchical heterogeneous graph neural networks for drug-target interaction prediction. [PDF]

Bioinformatics
Jing Y, Zhang D, Li L.
europepmc   +1 more source

High Health Care Utilization Preceding Diagnosis With Juvenile Idiopathic Arthritis

Arthritis Care &Research, EarlyView.
Objective Although early diagnosis improves long‐term outcomes, patients with juvenile idiopathic arthritis (JIA) often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize health care utilization in the year preceding diagnosis. Methods We identified 10,021 patients with an incident diagnosis
Anna Costello, Rui Xiao, Xuemei Zhang, Jahan Jazayeri, Irit R. Rasooly, Pamela F. Weiss   +5 more
wiley   +1 more source

Barlow Twins deep neural network for advanced 1D drug-target interaction prediction. [PDF]

J Cheminform
Schuh MG, Boldini D, Bohne AI, Sieber SA.   +3 more
europepmc   +1 more source

Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning. [PDF]

Sci Rep
Dai W, Wang Y, Yan S, Yu Q, Cheng X.
europepmc   +1 more source