research STRIAA (Severity TRichoscopy Index Alopecia Areata): Validation of a Novel Trichoscopic Tool for Evaluation of Alopecia Areata
The STRIAA tool helps doctors quickly and effectively assess the severity of Alopecia Areata.
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540-570 / 1000+ results research Increased Expression of Zyxin and its Potential Function in Androgenetic Alopecia
Reducing Zyxin may help treat hair loss.
research An Automated Approach Towards Digital Photo-Trichogram for Hair Fall Diagnosis
Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research 10 Apps to Help You Manage Your scalpmicropigmentationclinics
research Painless Hair Analysis
TrichoScan offers a painless way to analyze and manage hair loss.
research 128 Bimekizumab led to rapid & deep normalisation of molecular signatures associated with PASI sub-components, preceding clinical skin clearance
Bimekizumab quickly improves psoriasis symptoms and skin at the molecular level.
research Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata – a retrospective study
AI can accurately diagnose and assess alopecia areata using scalp images.
research Topological Markers for Subcellular Chemical Mapping using TOF-SIMS
TOF-SIMS improved chemical mapping in cells, confirming gunshot residue, tracking anti-tumor drugs, and identifying molecules in mosquitoes and wounds.
research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
research Ziehl-Neelsen's stain for skin sections to show wool and hair follicles
Ziehl-Neelsen's stain helps identify different parts of hair in sheep and goats.
research Development of a Visual Extension of the Severity of Alopecia Tool (VESALT) for Alopecia Areata
VESALT improves alopecia areata assessment by including non-scalp areas and is reliable and user-friendly.
research 616 Proteomic evaluation of four botanical extracts on skin cells
Four botanical extracts were found to quickly attract neutrophils to wounded skin in zebrafish.
research Faster calculation of scalp area in androgenetic alopecia before platelet-rich plasma therapy using the mobile application ImageMeter
Mobile app ImageMeter calculates scalp area faster and reliably for alopecia treatment.
research 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
research 414 A fitst-in-human study of BLZ-100 (tozuleristide) demonstrates tolerability and fluorescence contrast in skin cancer
BLZ-100 is safe for use in skin cancer surgery and may help identify cancerous tissue.
research Carbobenzoxy-capped Phe-Lys(BODIPY TMR-X-acyloxymethyl ketone(QSY7)
Near-infrared probes can safely and effectively image cysteine protease activity for disease diagnosis.
research Application of 3D Reflectance Confocal Microscopy: Melanocytic Proliferations as 3D Models; JAAD Supplemental Material
3D models from confocal microscopy improve melanoma detection on sun-damaged skin.
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 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 A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
research Hair color digitization through imaging and deep inverse graphics
A new method accurately captures and renders hair color for virtual reality and hair dye use.
research Scalp immersion proxigraphy (SIP): an improved imaging technique for phototrichogram analysis*
SIP is a better method for measuring hair growth accurately.
research Quantitative Evaluation of Female Pattern Hair Loss in Chinese Women
Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.
research Visual imaging of calcium ion distribution in acetone and tape stripping damaged canine epidermis.
The method visualized calcium ions in damaged canine skin, showing potential for studying skin recovery.
research Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
research MEGA PROTAC, MEGA DOCK-based PROTAC mediated ternary complex formation pipeline with sequential filtering and rank aggregation
MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.
research PIXE microanalysis in green hair
Copper levels in green hair decreased significantly after treatment.
research Increased Expression of Zyxin and Its Potential Function in Androgenetic Alopecia
Inhibiting Zyxin may help treat androgenetic alopecia by promoting hair growth.
research Dynamic evaluation of pathological changes in a mouse acne model by optical imaging technology
New imaging techniques can assess and track changes in mouse acne without harm, aiding treatment choices.