Results 71 to 80 of about 1,821,409 (281)
Predicting Drug-Disease Association Based on Ensemble Strategy
Drug repositioning is used to find new uses for existing drugs, effectively shortening the drug research and development cycle and reducing costs and risks. A new model of drug repositioning based on ensemble learning is proposed.
Jianlin Wang +4 more
doaj +1 more source
Antiretroviral Drug Repositioning for Glioblastoma
Outcomes for glioblastoma (GBM) remain poor despite standard-of-care treatments including surgical resection, radiation, and chemotherapy. Intratumoral heterogeneity contributes to treatment resistance and poor prognosis, thus demanding novel therapeutic approaches.
Sarah R. Rivas +16 more
openaire +2 more sources
Drug Repositioning for COVID-19
Drug repositioning is a strategy that identifies new uses of approved drugs, to treat conditions different from their original purpose. With the advance of COVID-19 and the declaration of a pandemic; It has become the closest alternative to slow the advance of the virus. Antimalarial, antiviral drugs, antibiotics, glucocorticoids, monoclonal antibodies,
openaire +4 more sources
Computational and Practical Aspects of Drug Repositioning [PDF]
The concept of the hypothesis-driven or observational-based expansion of the therapeutic application of drugs is very seductive. This is due to a number of factors, such as lower cost of development, higher probability of success, near-term clinical potential, patient and societal benefit, and also the ability to apply the approach to rare, orphan, and
Tudor I, Oprea, John P, Overington
openaire +2 more sources
Turning Water Into a Tool: From Degradation Pathways to Functional Engineering in Halide Perovskites
Water exhibits a threshold‐dependent dual role in lead halide perovskites, acting either as a degradation trigger or as a powerful tool for defect passivation, recrystallization, and structural engineering. This review discusses how controlled water‐mediated interactions govern stability, dimensionality, and optoelectronic performance, providing ...
Raphaella T. S. Gonçalves +4 more
wiley +1 more source
Heter-LP: A Heterogeneous Label Propagation Method for Drug Repositioning
Using existing drugs for diseases which are not developed for their treating (drug repositioning) provides a new approach to developing drugs at a lower cost, faster, and more secured.
Green, James R. +5 more
core +1 more source
UCST‐Driven Shape Morphing in Digital Light Processing 4D‐Printed Hydrogels
A DLP‐printable UCST hydrogel based on poly(acrylic acid‐co‐acrylamide) enables reversible thermally induced expansion and 4D shape morphing. Rational control of composition, porosity, and multimaterial architecture enables predictable 4D shape morphing through differential swelling and localized actuation, opening new opportunities for high‐resolution
Fato Niang +2 more
wiley +1 more source
iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding.
Computational drug repositioning and drug-target prediction have become essential tasks in the early stage of drug discovery. In previous studies, these two tasks have often been considered separately.
Huiyuan Chen, Feixiong Cheng, Jing Li
doaj +1 more source
New drugs are not enough‑drug repositioning in oncology: An update
Drug repositioning refers to the concept of discovering novel clinical benefits of drugs that are already known for use treating other diseases. The advantages of this are that several important drug characteristics are already established (including efficacy, pharmacokinetics, pharmacodynamics and toxicity), making the process of research for a ...
Armando, Romina Gabriela +2 more
openaire +4 more sources
Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source

