research Effective holistic characterization of small molecule effects using heterogeneous biological networks
Integrating biological networks improves drug repurposing and ADR prediction.
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30 / 1000+ resultsresearch Comparative efficacy of oral Janus kinase inhibitors and biologics in adult alopecia areata: A systematic review and Bayesian network meta‐analysis
Baricitinib is the most effective treatment for alopecia areata.
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 Treatments for alopecia areata: a network meta-analysis
The analysis aims to identify the most effective and safest treatments for alopecia areata.
research Application of multi-omics techniques to androgenetic alopecia: Current status and perspectives
Multi-omics techniques help understand the molecular causes of androgenetic alopecia.
research Computational derivation of a molecular framework for hair follicle biology from disease genes
The research provides a gene-based framework for hair biology, highlighting the Hippo pathway's importance and suggesting links between hair disorders, cancer pathways, and the immune system.
research Photo-responsive fibers as artificial hairs in an in-vitro model for transdermal drug delivery
Artificial hair fibers improve drug delivery accuracy through skin models.
research Network Pharmacology Reveals Curcuma aeruginosa Roxb. Regulates MAPK and HIF-1 Pathways to Treat Androgenetic Alopecia
Curcuma aeruginosa Roxb. may help treat hair loss by affecting specific biological pathways.
research Exploring the mechanism of Platycladi Cacumen in intervening androgenetic alopecia based on network pharmacology, molecular docking, and molecular dynamics simulation
Platycladi Cacumen may help treat hair loss by affecting certain biological pathways.
research Keratin network modifications lead to the mechanical stiffening of the hair follicle fiber
Changes in keratin make hair follicles stiffer.
research Biological Macromolecule Hydrogel Based on Recombinant Type I Collagen/Chitosan Scaffold to Accelerate Full-Thickness Healing of Skin Wounds
The hydrogel speeds up skin wound healing effectively.
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 Lipidomics Combined with Network Pharmacology to Explore Differences in the Mechanisms of Grey Hair Development Between Type 2 Diabetes Mellitus and Normal Populations (Female)
Altered lipid pathways in diabetic women may cause premature greying.
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 Integrative analysis reveals ncRNA-mediated molecular regulatory network driving secondary hair follicle regression in cashmere goats
Non-coding RNAs help control hair growth cycles in cashmere goats, suggesting ways to improve cashmere production.
research Lymphatic vessel: origin, heterogeneity, biological functions, and therapeutic targets
Lymphatic vessels are essential for health and can be targeted to treat various diseases.
research Discovery of clinically approved drugs capable of inhibiting SARS-CoV-2 in vitro infection using a phenotypic screening strategy and network-analysis to predict their potential to treat covid-19
Four drugs were found that could potentially treat COVID-19 by inhibiting the virus in lab tests.
research MultiKano: an automatic cell type annotation tool for single-cell multi-omics data based on Kolmogorov–Arnold network and data augmentation
MultiKano accurately identifies cell types in complex data better than existing methods.
research MicroRNA control of signal transduction
MicroRNAs are crucial in controlling cell signaling, affecting cancer and tissue regeneration.
research Tissue engineering of skin and regenerative medicine for wound care
Current skin substitutes help heal severe burns but don't fully replicate natural skin features.
research Pathophysiological mechanisms of hair follicle regeneration and potential therapeutic strategies
Understanding hair growth pathways can lead to better hair loss treatments.
research Psoriasis and Related Disorders
Psoriasis is a common, genetically influenced skin disease worsened by stress and lifestyle, but targeted treatments are promising.
research Palatogenesis and cutaneous repair: A two‐headed coin
Palate formation and skin healing share similar biological processes.
research Vitamin D and microRNAs
Vitamin D affects many body functions and its interaction with microRNAs could help treat related diseases.
research In-silico cardiac aging regulatory model including microRNA post-transcriptional regulation
Researchers created a model to understand heart aging, highlighting the role of microRNAs and identifying key genes and pathways involved.
research DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
research Identification and profiling of microRNA between back and belly Skin in Rex rabbits (Oryctolagus cuniculus)
Different miRNAs in Rex rabbit skin affect cell processes and hair growth.
research Differential Expression of Proteins Associated with the Hair Follicle Cycle - Proteomics and Bioinformatics Analyses
Researchers found 44 proteins that change during different hair growth stages and may be important for hair follicle function.
research Impact of taxol on dermal papilla cells — A proteomics and bioinformatics analysis
Taxol damages hair growth cells, causing hair loss.
research Data-driven strategies for drug repurposing: insights, recommendations, and case studies
Data-driven methods can effectively identify existing drugs for new uses, especially in cancer, infections, and respiratory diseases.