Results 171 to 180 of about 925,610 (310)

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

open access: yesFEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi   +2 more
wiley   +1 more source

Detecting adverse high-order drug interactions from individual case safety reports using computational statistics on disproportionality measures [PDF]

open access: yesarXiv
Adverse drug interactions are a critical concern in pharmacovigilance, as both clinical trials and spontaneous reporting systems often lack the breadth to detect complex drug interactions. This study introduces a computational framework for adverse drug interaction detection, leveraging disproportionality analysis on individual case safety reports.
arxiv  

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

open access: yesFEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik   +3 more
wiley   +1 more source

The Influence of 1α.25-Dihydroxyvitamin D3 Coating on Implant Osseointegration in the Rabbit Tibia

open access: yeseJournal of Oral Maxillofacial Research, 2014
Objectives: This study aims to evaluate bone response to an implant surface modified by 1α,25-dihydroxyvitamin D3 [1.25-(OH)2D3] in vivo and the potential link between 1.25-(OH) 2D3 surface concentration and bone response. Material and Methods: Twenty-
Yoshihito   +8 more
doaj  

Effect of drinking, smoking, and smartphone overdependence on drug addiction among Korean adolescents

open access: yesFrontiers in Public Health
IntroductionAdolescent brain development increases vulnerability to drug addiction due to diminished impulse control and the presence of mental health disorders.
Jaehee Jeong   +2 more
doaj   +1 more source

Dose–response of an extrafine dry powder inhaler formulation of glycopyrronium bromide: randomized, double-blind, placebo-controlled, dose-ranging study (GlycoNEXT)

open access: yesInternational Journal of COPD, 2018
Kai M Beeh,1 Aida Emirova,2 Hélène Prunier,2 Debora Santoro,3 Marie Anna Nandeuil2 1Insaf Respiratory Research Institute, Wiesbaden, Germany; 2Global Clinical Development, Chiesi S.A.S, Bois-Colombes, France; 3Global Clinical Development ...
Beeh KM   +4 more
doaj  

MuCoS: Efficient Drug-Target Prediction through Multi-Context-Aware Sampling [PDF]

open access: yesarXiv
Drug-target interactions are critical for understanding biological processes and advancing drug discovery. However, traditional methods such as ComplEx-SE, TransE, and DistMult struggle with unseen relationships and negative triplets, which limits their effectiveness in drug-target prediction. To address these challenges, we propose Multi-Context-Aware
arxiv  

Minimum effective concentration of ropivacaine for ultrasound-guided transmuscular quadratus lumborum block in total hip arthroplasty: a randomized clinical trial☆

open access: yesBrazilian Journal of Anesthesiology
Objective: This trial aimed to identify the Minimum Effective Concentration (MEC90, defined as the concentration which can provide successful block in 90% of patients) of 30 mL ropivacaine for single-shot ultrasound-guided transmuscular Quadratus ...
Jian Hu   +3 more
doaj  

Heterogeneous Entity Representation for Medicinal Synergy Prediction [PDF]

open access: yesarXiv
Medicinal synergy prediction is a powerful tool in drug discovery and development that harnesses the principles of combination therapy to enhance therapeutic outcomes by improving efficacy, reducing toxicity, and preventing drug resistance. While a myriad of computational methods has emerged for predicting synergistic drug combinations, a large portion
arxiv  

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