research Understanding Hair Loss due to Air Pollution and the Approach to Management
Air pollution can cause hair loss, and using antioxidants, special shampoos, and coconut oil can improve scalp health and hair density.
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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 Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Characterization of a Cluster of Human High/Ultrahigh Sulfur Keratin-associated Protein Genes Embedded in the Type I Keratin Gene Domain on Chromosome 17q12-21
A cluster of sulfur-rich hair protein genes was found on chromosome 17.
research Response to Park et al. on the Clinical Use of Hair Diameter Diversity in Androgenetic Alopecia
Hair diameter diversity could improve androgenetic alopecia assessment and treatment planning.
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 Artificial Intelligence in Aesthetic Medicine: Applications, Challenges, and Future Directions
AI improves aesthetic medicine but faces challenges like biases and privacy issues that need addressing for successful integration.
research Use of artificial intelligence to track platelet-rich plasma treatment outcomes in females with nonscarring alopecia: A case series
AI can help track and improve hair loss treatment outcomes.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research Development, formulation, and characterization of an adapalene-loaded solid lipid microparticle dispersion for follicular penetration
Researchers created a skin treatment that could effectively deliver medication into hair follicles.
research Editorial: Progress and Prospects on Skin Imaging Technology, Teledermatology and Artificial Intelligence in Dermatology
New skin imaging, teledermatology, and AI could become key in future dermatology care.
research Using artificial intelligence to compute Severity of Alopecia Tool scores
AI can accurately measure hair loss severity in alopecia areata.
research What happens when simulations get real and cosmetic dermatology goes virtual?
AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
research Frontiers in Topical Photoprotection
Sunscreen technology is improving with new ingredients and methods to better protect skin from sun damage.
research Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
research From Nature to Follicle: Controlled Infusion-Based Polyherbal Hair Growth Oil — Bioactive Characterization and Dermatological Safety Profiling
The herbal hair oil is safe and may promote hair growth.
research Impact of artificial intelligence on healthcare
AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
research Unraveling the Strand: A Comprehensive Review on the Forensic Significance of Microscopic Human Scalp Hair Analysis
Microscopic hair analysis is important in forensics but has limitations; new technologies are improving its accuracy.
research Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
research A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
The system can automatically identify different hair and scalp conditions using machine learning.
research Smart Diagnostic System for Health Risk Assessment
WomenCare helps predict PCOD risk in women to encourage early medical consultation.
research ZO-1 boosts the in vitro self-renewal of pre-haematopoietic stem cells from OCT4-reprogrammed human hair follicle mesenchymal stem cells through cytoskeleton remodeling
ZO-1 helps hair follicle stem cells renew better by changing their structure.
research A quantitative technique to analyze and evaluate microstructures of skin hair follicles based on mueller matrix polarimetry
The technique accurately identifies and evaluates hair follicle structures in skin.
research Identification of Various Deficiencies Using Data Mining Techniques - A Survey
Data mining helps identify and address nutrition deficiencies affecting health.
research Repurposing of H1-receptor antagonists (levo)cetirizine, (des)loratadine, and fexofenadine as a case study for systematic analysis of trials on clinicaltrials.gov using semi-automated processes with custom-coded software
Custom software found that common allergy drugs might have new uses for various conditions and could improve survival in some cancers.
research A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
research Clinical Features and Treatment Options of Vogt-Koyanagi-Harada Disease
Early treatment with corticosteroids and immunosuppressants is crucial for managing Vogt-Koyanagi-Harada disease.
research Screening the Chemical Composition and Bioactivity of Cerasus serrulata Flower Extracts Using Two Extraction Methods
Cerasus serrulata flower extracts have strong antibacterial and antioxidant effects and may help prevent hair loss.
research Role of Drug Repurposing in Sustainable Drug Discovery
Drug repurposing speeds up drug development, saves money, and has led to about a third of new drug approvals.
research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.