Results 51 to 60 of about 25,894 (252)
Drug repositioning based on heterogeneous networks and variational graph autoencoders
Predicting new therapeutic effects (drug repositioning) of existing drugs plays an important role in drug development. However, traditional wet experimental prediction methods are usually time-consuming and costly.
Song Lei, Xiujuan Lei, Lian Liu
doaj +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam +8 more
wiley +1 more source
GREP: genome for REPositioning drugs
Abstract Summary Making use of accumulated genetic knowledge for clinical practice is our next goal in human genetics. Here we introduce GREP (Genome for REPositioning drugs), a standalone python software to quantify an enrichment of the user-defined set of genes in the target of clinical indication ...
Saori Sakaue, Yukinori Okada
openaire +2 more sources
Lymphotropic nanoplatforms integrate multimodal imaging with therapeutic guidance to map sentinel and tumor‐draining lymph nodes, revealing functional drainage, metastatic involvement, and nodal accessibility, while providing mechanistic insight to support precision surgical and therapeutic interventions.
Xu Chen +7 more
wiley +1 more source
A Review of Current In Silico Methods for Repositioning Drugs and Chemical Compounds
Drug repositioning is a new way of applying the existing therapeutics to new disease indications. Due to the exorbitant cost and high failure rate in developing new drugs, the continued use of existing drugs for treatment, especially anti-tumor drugs ...
Binsheng He +5 more
doaj +1 more source
An innovative, lightweight 3D‐printed skinfold chamber system is presented for long‐term intravital imaging. This affordable, biocompatible platform simplifies surgical implantation and allows high‐resolution, multimodal visualization of the tumor microenvironment for up to four weeks.
Iván Cortés Domínguez +9 more
wiley +1 more source
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
Catechol‐functionalized cellulose hydrogels are developed as injectable, bioadhesive platforms for retinal neuroprotection. The hydrogels exhibit tunable rheological and mechanical properties, strong tissue adhesion, and sustained antioxidative activity.
Kai‐Hsiang Chang +4 more
wiley +1 more source
Changing Trends in Computational Drug Repositioning [PDF]
Maximizing the indications potential and revenue from drugs that are already marketed offers a new take on the famous mantra of the Nobel Prize-winning pharmacologist, Sir James Black, “The most fruitful basis for the discovery of a new drug is to start with an old drug”.
Jaswanth K. Yella +3 more
openaire +3 more sources

