research AI06 ALUDWIG: an automated artificial intelligence-based assessment of female androgenic alopecia
ALUDWIG can help standardize female hair loss assessment from a single image.
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research Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
research Trichoscopic and clinical characteristics of temporal triangular alopecia. A multicenter study
The study found that Temporal Triangular Alopecia often starts in early childhood, mainly affects the left side of the scalp, and has no effective treatment except surgery.
research Quantitative morphometric analysis of hair follicles in alopecia areata
Automated image analysis helps diagnose and monitor alopecia areata by efficiently measuring hair follicles.
research Reply
The authors defended their methods for measuring hair density and caliber, emphasizing the need for consistent photography and manual counting for accuracy in evaluating hair loss treatments.
research Modeling cell–cell communication for immune systems across space and time
The document concludes that computational models are useful for understanding immune responses and could improve cancer immunotherapy.
research 281 Phase I/IIa clinical trial for the treatment of androgenetic alopecia using intradermal injections of cultured autologous dermal sheath cup cells
Injections of special skin cells showed potential in treating hair loss, with some participants experiencing increased hair density.
research The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
research Using automated microneedling with platelet rich plasma for treating cicatricial alopecia, recalcitrant alopecia areata and traction alopecia, case report
Microneedling with platelet-rich plasma can improve different types of hair loss.
research 701 Rethinking alopecia scores: Correlating measures of hair loss with established photographic scoring systems
The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
research Detection of the nuclear translocation of androgen receptor using quantitative and automatic cell imaging analysis
A new method helps detect androgen receptor movement in cells, aiding research on hair loss treatments.
research Bioprinting of Hair Follicle Germs for Hair Regenerative Medicine
Bioprinting hair follicle germs can effectively regenerate hair and improve hair growth.
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 Critical study of hair growth analysis with computer-assisted methods
The Trichoscan system was found to be inaccurate for measuring hair growth, needing better software to be useful.
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 Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
research TrichoScan: combining epiluminescence microscopy with digital image analysis for the measurement of hair growth in vivo.
TrichoScan accurately measures hair growth and showed improved hair counts and thickness after finasteride treatment.
research Natural swing frequency of human hair - a novel method to quantify natural hair collective movements
Human hair movement is affected by its inner structure and chemical treatments.
research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
research ISID0197 - Quantitative analysis of hair loss in mice utilizing imageJ improves the efficacy evaluation of alopecia areata induction in the C3H/HeJ mouse model
A new image-based method improves accuracy in measuring hair loss in mice.
research 197 Quantitative analysis of hair loss in mice utilizing imageJ improves the efficacy evaluation of alopecia areata induction in the C3H/HeJ mouse model
A new image-based method improves accuracy in measuring hair loss in mice.
research Discrimination between basal cell carcinoma and hair follicles in skin tissue sections by Raman micro-spectroscopy
Raman micro-spectroscopy can help distinguish basal cell carcinoma from hair follicles in skin tissue.
research Follicular unit extraction hair transplant automation: Options in overcoming challenges of the latest technology in hair restoration with the goal of avoiding the line scar
Follicular Unit Extraction (FUE) hair transplant is less invasive, leaves no scars, and has quicker recovery times, but it's more time-consuming and challenging. Automation helps speed up the process and improve graft survival, reducing the need for traditional strip surgery.
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 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 Developing a Device for Collecting of Hair Follicles for Non-incision Hair Transplantation
Researchers developed a new device that improves non-incision hair transplant efficiency.
research Unraveling the molecular basis of ROS-mediated cell wall biomechanics during Arabidopsis root hair cell growth
ROS influences the growth and structure of Arabidopsis root hairs.
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 The Microanatomy of Human Skin in Aging
Aging skin shows thinner layers, fewer hair follicles, and new biomarkers like increased space between cells and smaller sebaceous glands.
research 1040 Photographing alopecia - How many pixels are needed for clinical evaluation?
Higher resolution images are needed to identify scarring and fine hair in alopecia.