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research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
research Genome-wide detection and sequence conservation analysis of long non-coding RNA during hair follicle cycle of yak
Different long non-coding RNAs in yaks change during hair growth cycles and are involved in key growth pathways.
research A Three-Step Diagnostic Algorithm for Alopecia: Pattern Analysis in Trichoscopy
A new method improves alopecia diagnosis using non-invasive steps.
research Comprehensive Analysis of LncRNA AC010789.1 Delays Androgenic Alopecia Progression by Targeting MicroRNA-21 and the Wnt/β-Catenin Signaling Pathway in Hair Follicle Stem Cells
The LncRNA AC010789.1 slows down hair loss by promoting hair follicle growth and interacting with miR-21 and the Wnt/β-catenin pathway.
research Patient Selection, Hair Transplant Design, and Hairstyle
Dr. Norwood's analysis highlights the need for careful patient selection and strategic hair transplant design to create a natural-looking hair density.
research Gene variants associated with acne vulgaris presentation and severity: a systematic review and meta-analysis
Certain gene variants can influence acne risk and severity.
research A homozygous missense mutation in the fibroblast growth factor 5 gene is associated with the long-hair trait in Angora rabbits
A specific gene mutation causes long hair in Angora rabbits.
research Computer physics communications instructions to authors (third revision)
research Visualising the Novosel Formula: Comments on Dahl and Berg’s A formula for the mean electrical axis of the heart
The authors suggest standardizing how the heart's electrical axis is calculated to improve precision and consistency in ECG analysis.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
research DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
Machine learning and deep learning can effectively diagnose alopecia areata.
research Detection of a Second KAP22 Family Member in Sheep and Analysis of Its Genetic Variation and Associations with Selected Wool Fibre Traits
The KRTAP22-2 gene in sheep does not significantly affect wool traits.
research JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
research A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
research First case of V281+I172N/V281L CYP21A2 genotype associated with congenital adrenal hyperplasia form. A case report from South Italy
New genotype linked to non-classical congenital adrenal hyperplasia found in Italian siblings.
research Uniform boundedness and asymptotic behavior of solutions in a chemotaxis model for alopecia areata
research Genome-wide detection and sequence conservation analysis of long non-coding RNA during hair follicle cycle of yak
The study found key long non-coding RNAs involved in yak hair growth cycles.
research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
research A New Heterozygous Variant of c.1225_1227delTTC (p.Phe409del) in Insulin Receptor Gene Associated with Severe Insulin Resistance and Hyperandrogenemia in an Adolescent Female with Type A Severe Insulin Resistance Syndrome
A specific gene variant is linked to severe insulin resistance and hormone imbalance in a teenage girl.
research Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research A new practical classification for spatial distribution and morphology of human hair: Ahmad's LGMA classification
Dr. Muhammad Ahmad created a hair classification system to help improve hair restoration surgery outcomes.
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.
research Integration Analysis of Transcriptome Sequencing and Whole-Genome Resequencing Reveal Wool Quality-Associated Key Genes in Zhexi Angora Rabbits
Key genes and pathways improve wool quality in Zhexi Angora rabbits.
research Genome-wide detection and sequence conservation analysis of long non-coding RNA during hair follicle cycle of yak
Long non-coding RNAs play a key role in yak hair growth cycles.
research Genome-wide detection and sequence conservation analysis of long non-coding RNA during hair follicle cycle of yak
Researchers found that certain RNA sequences play a role in yak hair growth and these sequences are somewhat similar to those in cashmere goats.
research Correlation and regression analysis of the KRT27 and ELOVL4 genes in cashmere fineness and other production performances in Liaoning cashmere goats
Certain gene combinations improve cashmere quality and production in Liaoning goats.
research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.