research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.
Search
for
Sort by
Research
120-150 / 1000+ resultsresearch [The effect of cgVEGF164 on the growth of murine hair follicles].
cgVEGF164 boosts hair follicle growth in mice.
research Regulation of feather follicle development and Msx2 gene SNP degradation in Hungarian white goose
The Msx2 gene affects feather development in Hungarian white geese and a specific gene variation could indicate feather quality.
research AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
research Lentiviral Arrays for Live-cell Dynamic Monitoring of Gene and Pathway Activity During Stem Cell Differentiation
The lentiviral array can monitor and predict gene activity during stem cell differentiation.
research Efficacy of autologous stromal vascular fraction injection in the treatment of androgenic alopecia
SVF injections improve hair growth and reduce hair loss in people with androgenic alopecia.
research Genomic prediction and genome-wide association studies of morphological traits and distraction index in Korean Sapsaree dogs
Genomic prediction can improve breeding strategies for Korean Sapsaree dogs.
research Innovative Method of Alopecia Treatment by Using Adipose-derived Stromal Vascular Fraction (SVF) Cells
Using fat-derived cells to treat hair loss increased hair density and thickness without side effects.
research Identification of dual-purpose therapeutic targets implicated in aging and glioblastoma multiforme using PandaOmics - an AI-enabled biological target discovery platform
CNGA3, GLUD1, and SIRT1 are promising targets for treating aging and glioblastoma.
research Case Series: Gene Expression Analysis in Canine Vogt-Koyanagi-Harada/Uveodermatologic Syndrome and Vitiligo Reveals Conserved Immunopathogenesis Pathways Between Dog and Human Autoimmune Pigmentary Disorders
The immune processes causing VKH and vitiligo are similar in dogs and humans.
research Marking the recipient sites in hair restoration surgery - new methodology to attain symmetric density
A new method using gentian violet and a protective spray can improve symmetry and reduce surgery time in hair restoration, but it's only effective for total hair loss, not diffuse hair loss or follow-up treatments.
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 Identification of Candidate Genes for Min Pig Villi Hair Traits by Genome-Wide Association of Copy Number Variation
Researchers found genes that may explain why some pigs grow winter hair, which could help breed cold-resistant pigs.
research Application of Automated mRNA In Situ Hybridization for Formalin-fixed, Paraffin-embedded Mouse Skin Sections
Combining cell conditioning with mild protease digestion effectively shows versican mRNA in mouse skin sections.
research An Innovative Scalp-Dyeing Technique with Gentian Violet Solution During Follicular Unit Extraction for White-Haired Follicular Units
A new method using gentian violet dye makes it easier to see and work with white hair in hair transplant surgeries.
research Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
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 Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Modeling using discriminant analysis of the possibility of occurrence and features of the course of various forms of urticaria in ukrainian women depending on the features of anthropo-somatotypological indicators
The models accurately predicted urticaria in Ukrainian women but struggled to differentiate between mild and severe cases based on body structure.
research Tissue microarray를 이용한 사이모신 베타4(Thymosin β4)와 vascular endothelial cell growth factor (VEGF)의 정상 인간 조직 발현 양상 연구
Thymosin β4 and VEGF are important for organ function and may help with blood vessel formation.
research Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
Machine learning is effective in predicting gene functions and their relationships with diseases.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.
research LGR5 is a Marker of Poor Prognosis in Glioblastoma and is Required for Survival of Brain Cancer Stem‐Like Cells
High LGR5 levels in glioblastoma indicate poor prognosis and are essential for cancer stem cell survival.
research Importance of vascular patterns in the dermoscopy recognition of cutaneous tumors
Vascular patterns in dermoscopy help tell apart malignant and benign skin tumors.
research A Combinatorial Tweet Clustering Methodology Utilizing Inter and Intra Cosine Similarity
The method effectively grouped tweets into categories without knowing the number of groups beforehand.
research The utility of elastic Verhoeff-Van Gieson staining in dermatopathology
EVG staining is a valuable, simple, and cost-effective method for diagnosing various skin conditions in dermatopathology.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
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.