research LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
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870-900 / 1000+ resultsresearch Future Directions: Gene Polymorphism Diagnostics Relevant to Hair
research Linc-PINT downregulation of TGF-β signaling pathway in heart arrhythmia: an in silico analysis
Monitoring TGF-β and linc-PINT expression may help identify and treat high-risk heart arrhythmia patients.
research Identification of Hypoxia and Mitochondrial-related Gene Signature and Prediction of Prognostic Model in Lung Adenocarcinoma
A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.
research Disturbance of Immune Microenvironment in Androgenetic Alopecia through Spatial Transcriptomics
Androgenetic alopecia involves immune cell disruptions, especially increased CD4+ T cells around hair follicles.
research Gfp-Expressing Vascularization of Gelfoam® as a Rapid in Vivo Assay of Angiogenesis Stimulators and Inhibitors
The assay quickly identifies substances that increase or decrease blood vessel growth.
research Application of lncRNA-miRNA-mRNA ceRNA network analysis in the treatment of androgenic alopecia.
The lncRNA LOXL1-AS1 may help diagnose and treat androgenic alopecia.
research 496 Identification of differentially expressed miRNAs in alopecia areata that target immune-regulatory pathways
Researchers found that certain miRNAs, which affect immune system regulation, are differently expressed in mice with a hair loss condition compared to healthy mice.
research ISID1394 - Long non-coding RNA AL136131.3 inhibits hair growth through mediating glycolysis in androgenetic alopecia
The RNA AL136131.3 slows down hair growth and speeds up hair loss by affecting sugar breakdown in hair follicles.
research AnnoPharma: Detection of substances responsible of ADR by annotating and extracting information from MEDLINE abstracts
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
research Efficient Silencing of Androgen Receptor Gene via UTR-Targeting siRNAs for Androgenetic Alopecia Therapy
AR-27 E-Chol siRNA can effectively regrow hair by reducing androgen receptor gene activity.
research Utility of GLI1 RNA Chromogenic in Situ Hybridization in Distinguishing Basal Cell Carcinoma From Histopathologic Mimics
GLI1 RNA CISH effectively identifies basal cell carcinoma but is less specific for benign follicular tumors.
research Contrast enhanced phototrichogram pinpoints scalp hair changes in androgen sensitive areas of male androgenetic alopecia
CE-PTG detects early hair follicle issues in balding areas, helping measure male hair loss.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research Contrast enhanced phototrichogram (CE-PTG): an improved non-invasive technique for measurement of scalp hair dynamics in androgenetic alopecia–validation study with histology after transverse sectioning of scalp biopsies.
CE-PTG is a better method for analyzing hair growth in androgenetic alopecia.
research Development of 3-D Microbioreactor Systems for Cell-Based High Throughput Screening
A new 3-D bioreactor system improves drug screening and reduces animal testing.
research Polymeric Based Bioinspired Microneedle Patch for the Treatment of Androgenetic Alopecia (AGA)
research MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genes
MendelVar is a tool that helps identify important genes by combining GWAS data with Mendelian disease information.
research An organ-on-a-chip approach for investigating root-environment interactions in heterogeneous conditions
The dfRootChip revealed how Arabidopsis roots adapt and grow in uneven conditions.
research 1385 Characterizing the expression of metabolic markers in alopecia areata
The research identified unique metabolic activities in immune cells associated with hair loss in Alopecia Areata.
research Preparation of a highly specific single chain variable fragment antibody targeting miroestrol and its application in quality control of Pueraria candollei by enzyme‐linked immunosorbent assay
The new ELISA method is reliable and eco-friendly for checking the quality of Pueraria candollei.
research miR-200a Targets PITX2 to Mediate Goose Fibroblast Proliferation Through the Wnt Pathway
miR-200a reduces goose fibroblast growth by targeting PITX2 in the Wnt pathway.
research GENOME REPORT: Chromosome-scale genome assembly of the African spiny mouse (Acomys cahirinus)
The improved genome of the African spiny mouse helps study its tissue regeneration.
research Non-invasive evaluation of advanced glycation end products in hair as early markers of diabetes and aging
Hair analysis can effectively detect diabetes and aging markers.
research Role of Autologous Micrografting Technology through Rigenera® System in the Treatment of Androgenetic Alopecia
Autologous micrografting via the Rigenera® system shows promise in improving hair loss treatment.
research LC-APCI+-MS/MS method for the analysis of ten hormones and two endocannabinoids in plasma and hair from the mice with different gut microbiota
The method accurately measures hormones and endocannabinoids in mice, showing gut microbiota diversity affects these levels and may influence stress and reproductive systems.
research The first broad replication study of SNPs and a pilot genome‐wide association study for androgenetic alopecia in Asian populations
Two specific genetic markers increase the risk of hair loss in Asian populations.
research 022 Exploring the potential of the novel IFNγ aptamer TAGX-0003 as a treatment for alopeciaareata in pre-clinical models
The new aptamer TAGX-0003 shows promise as an effective treatment for hair loss disorder alopecia areata.
research Ar/miR-221/IGF-1 Pathway Mediates the Pathogenesis of Androgenetic Alopecia
The Ar/miR-221/IGF-1 pathway is involved in male pattern baldness, with miR-221 potentially being a new target for treatment.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.