research DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
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30 / 1000+ results research Digoxin-induced anemia among patients with atrial fibrillation and heart failure: clinical data analysis and drug-gene interaction network
Digoxin is linked to a higher risk of anemia in patients with atrial fibrillation and heart failure.
research Adverse events associated with aromatase inhibitors: an analysis of real-world datasets and drug-gene interaction network
Aromatase inhibitors can cause various adverse reactions, so monitoring is crucial.
research Image3_Neuropsychiatric Adverse Events of Montelukast: An Analysis of Real-World Datasets and drug−gene Interaction Network.TIFF
Montelukast is linked to increased risks of suicidal thoughts and depression.
research Network-Based Drug Repositioning: Approaches, Resources, and Research Directions
The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.
research Computational Drug Discovery in Chemotherapy-induced Alopecia via Text Mining and Biomedical Databases
Computational tools identified 29 drugs that could potentially target 19 genes involved in chemotherapy-induced hair loss, which could lead to more effective treatments.
research Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks
The method effectively predicts new drug uses, including potential COVID-19 treatments.
research Treatment of alopecia areata: “What is new on the horizon?”
New treatments for alopecia areata may target specific immune cells and pathways involved in hair loss.
research Effective holistic characterization of small molecule effects using heterogeneous biological networks
Integrating biological networks improves drug repurposing and ADR prediction.
research Progress and perspectives on hydrogel-assisted skin organoids
Hydrogel-based methods improve skin organoid development for medical and research applications.
research Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients
SARS-CoV-2 may worsen IPF due to shared genes and pathways, suggesting potential drug targets.
research A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
research Exploring the Mechanisms and Molecular Targets of Taohong Siwu Decoction for the Treatment of Androgenetic Alopecia Based on Network Analysis and Molecular Docking
Taohong Siwu Decoction may help treat hair loss by targeting multiple genes and pathways.
research SYNERGIA AI I MEDYCYNY: SZANSE I WYZWANIA
AI is transforming healthcare by improving diagnostics and therapy, despite challenges with data and trust.
research The human gut chemical landscape predicts microbe-mediated biotransformation of foods and drugs
The study developed a tool to predict how gut microbes process foods and drugs, showing that similar compounds often share metabolic pathways and effects.
research DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data
DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
research Investigation of intermolecular interactions in finasteride drug crystals in view of X-ray and Hirshfeld surface analysis
Finasteride crystals are held together by hydrogen bonds and weak interactions, forming synthon pseudopolymorphs.
research Application and Progress of Cultured Models of Gallbladder Carcinoma
Advancements in cultured models improve understanding and treatment of gallbladder cancer.
research Drug Repositioning: New Opportunities for Older Drugs
Finding new uses for existing drugs is promising and can lead to safer, more effective medicines.
research Transfollicular drug delivery: current perspectives
Transfollicular drug delivery is promising but needs more research to improve and understand it better.
research Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms
Researchers found four genes that could help diagnose severe alopecia areata early.
research A machine learning and network framework to discover new indications for small molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
research Topical and transdermal lipid-polymer hybrid nanoparticles (LPN): an integration in advancing dermatological treatments
Lipid-polymer hybrid nanoparticles show promise for skin treatments but need better formulation strategies.
research Development of growth factor-incorporating liposomes for integration into scaffolds as a method to improve tissue regeneration
Liposomal carriers can improve tissue regeneration by stabilizing and retaining growth factors.
research Network-Based Approaches Reveal Potential Therapeutic Targets for Host-Directed Antileishmanial Therapy Driving Drug Repurposing
Researchers identified five new potential targets for leishmaniasis treatment, suggesting repurposing existing drugs could be effective.
research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research Extracellular vesicles as precision therapeutics for psychiatric conditions: targeting interactions among neuronal, glial, and immune networks
Extracellular vesicles could offer precise treatments for psychiatric conditions by targeting brain networks.
research Differences in reproductive toxicology between alopecia drugs: an analysis on adverse events among female and male cases
Finasteride has a higher risk of reproductive side effects than minoxidil.
research Integrated edge information and pathway topology for drug-disease associations
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
research Cryogelation of human hair keratins
Human hair keratins can be turned into useful 3D biomedical scaffolds through a freeze-thaw process.