research Automated analysis of scanning electron microscopic images for assessment of hair surface damage
A new automated method accurately measures hair damage using microscopic images.
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research Aromatic C-nitrosation of a bioactive molecule. Nitrosation of minoxidil
Minoxidil reacts to nitrosation 7 times more than phenol, mainly due to its -NH₂ groups, leading to the creation of N-nitrosominoxidil.
research New Aromatic Esters of Progesterone as Antiandrogens
New progesterone-based compounds can block male hormones.
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 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 Automated quantitative analysis of coat and skin coloration in laboratory animals
A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
research Automated Classification of Male and Female Pattern Hair Loss Stages Using EfficientNet According to the Hamilton-Norwood and Ludwig Scale
EfficientNet improves accuracy in diagnosing hair loss stages.
research Clinical Evaluation Of Automated Microneedling In Facial Scar Management: A Prospective Observational Study
Automated microneedling is a safe and effective treatment for improving facial scars.
research Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
An automated system can accurately classify hair disorders using image analysis.
research Automated Monkeypox Identification from Electronic Medical Records Using Large Language Models — Shenzhen City, Guangdong Province, China, 2023–2025
Large language models can accurately identify monkeypox from medical records.
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 Assessing the Efficacy of Automated Microneedling Monotherapy for Androgenetic Alopecia: A Comparison of 3 Different Depths
Microneedling at a depth of 0.5 mm is the most effective single treatment for hair loss among the tested depths.
research Letters to the Editors: Re: Role of automated devices in hair restoration
Automated devices are beneficial for hair restoration.
research An Automatic AI‐Based Algorithm That Grades the Scalp Surface Exfoliating Process From Video Imaging. Application to Dandruff Severity and Its Validation on Subjects of Different Ages and Ethnicities
The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
research Modeling the dynamics of human hair cycles by a follicular automaton
The model accurately simulates human hair growth and hair loss patterns.
research The Follicular Automaton Model: Effect of Stochasticity and of Synchronization of Hair Cycles
The model showed that randomness accurately describes individual hair growth cycles and that synchronization can cause large fluctuations not seen in humans.
research Fully automated chip-based nanoelectrospray ionization-mass spectrometry as an effective tool for rapid and high-throughput screening of 5α-reductase inhibitors
research Toxicity of Chlorinated Aromatic Compounds in Animals and Humans: In Vitro Approaches to Toxic Mechanisms and Risk Assessment
Chlorinated compounds like TCDD can cause skin issues and chloracne by affecting cell behavior.
research Monocyclic Aromatic Compounds
Monocyclic aromatic compounds are important for developing various drugs and treatments.
research 202 Automated assessment of tumor infiltrating lymphocytes informs mortality in thin melanoma
An automated system can predict death risk in thin melanoma by analyzing immune cells.
research 203 Automated skin surface phenotype for melanoma risk assessment
An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
research Qualification of a new and precise automatic tool for the assessment of hair diameters in phototrichograms
The new automatic tool accurately measures hair thickness and is reliable.
research MultiKano: an automatic cell type annotation tool for single-cell multi-omics data based on Kolmogorov–Arnold network and data augmentation
MultiKano accurately identifies cell types in complex data better than existing methods.
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 Label-Free Automated Cell Tracking: Analysis of the Role of E-cadherin Expression in Collective Electrotaxis
E-cadherin is important for cell movement in electric fields, and the new tracking method works well.
research Impact of Covid-19 on asthmatic patients in Western region in Saudi Arabia
Covid-19 affected asthmatic patients in Western Saudi Arabia.
research Table 1_A partially automated method for DNA extraction from marmoset hair follicles to avoid blood chimerism.xlsx
Researchers created an efficient method to extract DNA from marmoset hair, avoiding blood chimerism.
research Validation of TrichoScan® technology as a fully-automated tool for evaluation of hair growth parameters
TrichoScan® is a reliable tool for measuring hair growth, providing quicker and more consistent results than manual methods.
research Flow-guided hair removal for automated skin lesion identification
The new method removes hair from skin images quickly and accurately to help identify skin lesions better.
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.