research A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
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research Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
research Progress in computer-assisted function analysis
research ALOPECIA AREATA PROFILING SHOWS LNCRNAS REGULATE THE SUPPRESSED EXPRESSION OF KERATIN.
Certain RNAs may help diagnose alopecia areata by affecting keratin genes.
research KY19382, a novel activator of Wnt/β‐catenin signalling, promotes hair regrowth and hair follicle neogenesis
KY19382 helps regrow hair and create new hair follicles.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
research The Follicle Inference Engine (FIE): A stochastic digital twin and optimal experimental design framework for androgenetic alopecia
research 42063 Image Quality Assessment using Convolutional Neural Network in Clinical Skin Images
The model can effectively identify good quality skin images but needs more testing for real-world use.
research Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
research Development and pilot-testing of the Alopecia Areata Assessment Tool (ALTO)
The Alopecia Areata Assessment Tool (ALTO) effectively identifies alopecia areata from other hair loss types but needs more validation.
research Transcriptome Reveals Long Non-coding RNAs and mRNAs Involved in Primary Wool Follicle Induction in Carpet Sheep Fetal Skin
Certain RNA molecules are important for the development of wool follicles in sheep.
research An evaluation of the RapidHIT™ ID system for hair roots stained with Diamond™ Nucleic Acid Dye
The RapidHIT ID system can effectively get DNA profiles from hair roots with enough cells.
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.
research Construction and functional analysis of ceRNA regulatory network related to the development of secondary hair follicles in Inner Mongolia cashmere goats
The research found key RNA networks that may control hair growth in cashmere goats.
research Cloning and sequence analysis of KAP 6.1 gene in Xinjiang fine-wool sheep
Researchers cloned a gene from Xinjiang fine-wool sheep, finding it very similar to other sheep and somewhat similar to goats, humans, and rabbits.
research 411 The efficacy of 1550-nm erbium-glass fractional laser treatment and its effect on the expression of insulin-like growth factor 1 and Wnt/β-catenin in androgenetic alopecia
Finasteride helps female-pattern hair loss.
research Novel small‐insertion mutation in the LIPH gene in a patient with autosomal recessive woolly hair/hypotrichosis
Researchers found a new mutation in the LIPH gene of a woman with a rare hair condition.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
research A Novel Surgical Approach to Nasolabial Fistula
The new surgery method successfully healed the patient's nasal wound without complications.
research Simplifying Lip Reconstruction: An Algorithmic Approach
An algorithm was created to simplify lip reconstruction after surgery.
research A Tale of Two Haplotypes: The EDA2R/AR Intergenic Region is the Most Divergent Genomic Segment between Africans and East Asians in the Human Genome
The most different genetic segment between Africans and East Asians is the EDA2R/AR region, with two main types influenced by population changes and natural selection, and linked to baldness.
research Exact, time-independent estimation of clone size distributions in normal and mutated cells
A new method accurately estimates clone sizes in cells without considering time.
research A Full Factorial Design to Optimize Aminexil Nano Lipid Formulation to Improve Skin Permeation and Efficacy Against Alopecia
research Integrated analysis of coding genes and non-coding RNAs during hair follicle cycle of cashmere goat (Capra hircus)
The study improved understanding of gene roles in cashmere goat hair growth, aiding future cashmere production.
research From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research
AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
research LncRNAs in Secondary Hair Follicle of Cashmere Goat: Identification, Expression, and Their Regulatory Network in Wnt Signaling Pathway
Researchers found that certain RNA molecules might play a role in the growth of Cashmere goat hair.
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.