Results 201 to 210 of about 1,148,252 (255)

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

Adverse Drug-Drug Interaction Between Phenobarbital and Fluconazole in Two Dogs. [PDF]

J Vet Intern Med
Jaramillo M, Mondino A, Court M, Lewis MJ, Olby NJ, Muñana KR.   +5 more
europepmc   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Graph former-CL: A novel graph transformer with contrastive learning framework for enhanced drug-drug interaction prediction. [PDF]

PLoS One
Amiri M, Zare O.
europepmc   +1 more source

MFCN-DDI: Capsule network based on multimodal feature for multitype drug-drug interaction prediction. [PDF]

Quant Biol
Lu J, Jiang Y, Fu Y, Nan M, Ren Q, Gao J.   +5 more
europepmc   +1 more source

A meta-contrastive learning approach for clinical drug-drug interaction extraction from biomedical literature. [PDF]

PLoS Comput Biol
Jia Y, Yuan Z, Zhu L, Xiang ZL.
europepmc   +1 more source

Advancing Drug-Drug Interaction Prediction with Biomimetic Improvements: Leveraging the Latest Artificial Intelligence Techniques to Guide Researchers in the Field. [PDF]

Biomimetics (Basel)
Marqas RB, Simó Z, Mousa A, Özyurt F, Iantovics LB.   +4 more
europepmc   +1 more source

Method development and validation for simultaneous analysis of four bile acids as CYP3A drug-drug interaction biomarkers. [PDF]

Bioanalysis
Xun Z, Zhang L, McGee R, Stratford B, Wang P, Rodrigues D.   +5 more
europepmc   +1 more source

Evaluation of Drug-Drug Interaction Potential Between the Oral Antibiotic Zoliflodacin and the CYP3A4 Inhibitor Itraconazole: A Phase 1 Study in Healthy Participants. [PDF]

Clin Transl Sci
Luckey A, Larson KB, Rayad N, Heep M, Delhomme S, Kornmann G, Mueller JP, O'Donnell JP, O'Brien S, Fuhr R, Gillon JY.   +10 more
europepmc   +1 more source

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Drug–drug interactions

2018
A drug interaction occurs when the effects of a drug are altered by the effects of another drug, a vaccine, herb, foodstuff, or device. In drug–drug interactions, a precipitant drug increases or reduces the effects of an object drug by pharmaceutical, pharmacokinetic, or pharmacodynamic mechanisms.
Lopamudra Chowdhury, Om Singh
  +6 more sources