research Método para avaliação quantitativa da eficácia de tratamentos para queda de cabelo mediante análise de imagens: estudo preliminar
The method is effective for evaluating hair loss treatments quickly and affordably.
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630-660 / 1000+ results research Objective quantification of chemotherapy-induced madarosis: a pilot study of an automated computer vision pipeline for eyebrow density assessment
The tool accurately tracks eyebrow hair loss in chemotherapy patients.
research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research Multiplex matrix network analysis of protein complexes in the human TCR signalosome
Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.
research Single hair analysis by X-ray fluorescence spectrometry detects small changes in dietary zinc intake: A nested randomized controlled trial
Hair analysis can detect small changes in dietary zinc intake.
research Artificial Intelligence in Patient Education for Androgenetic Alopecia: A Comparative Study of ChatGPT, Gemini, and Deepseek R1
ChatGPT 4.0 and Gemini 1.5 Flash are effective for educating patients about androgenetic alopecia, while Deepseek R1 is less reliable.
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 596 Application of an artificial intelligence (AI) photographic device to track platelet-rich plasma treatment outcomes in females with alopecia
An AI photographic device effectively tracked hair growth improvements in women treated for hair loss.
research In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks
research Σχεδιασμός και υλοποίηση συστήματος επεξεργασίας εικόνας καθώς και μαθηματικών αλγορίθμων βελτιστοποίησης της μεταμόσχευσης ανθρωπίνων τριχοθυλακίων με την τεχνική FUE
The document concludes that the FOLLYSIS© system improves hair transplant processes and patient monitoring with high accuracy and less skin trauma.
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 Caizhixuan hair tonic regulates both apoptosis and the PI3K/Akt pathway to treat androgenetic alopecia
Caizhixuan hair tonic helps treat hair loss by promoting hair growth and improving hair follicles.
research Improved Hidden Markov Algorithm Based on Bayes in Low Dose CT Images
The improved algorithm enhances low-dose CT image quality significantly better than other methods.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT ( GATEWAYS ) Scoring of Alopecia Areata
Generative AI tools can accurately score alopecia areata, reducing subjectivity in evaluations.
research Impact of electrical impedance spectroscopy on dermatologists' number needed to biopsy metric and biopsy decisions for pigmented skin lesions
Electrical impedance spectroscopy improves biopsy accuracy and efficiency for skin lesions.
research Application of ZMY-1 hair transplantation system in the treatment of androgenetic alopecia
The ZMY-1 system makes hair transplants faster without losing safety or effectiveness.
research 18 Digital Imaging and Other Ancillary Tools for Hair Transplantation Evaluation
Digital imaging tools help accurately assess hair transplant candidates.
research Fully automated chip-based nanoelectrospray ionization-mass spectrometry as an effective tool for rapid and high-throughput screening of 5α-reductase inhibitors
research PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research Electron microscopy-image analysis: Quantification of ultrastructural changes in hair fiber cross sections as a
research Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
research In Vitro Antibacterial and Antioxidant Activities, Pharmacokinetics, and In Silico Molecular Docking Study of Phytochemicals from the Roots of Ziziphus spina-christi
Compounds from Ziziphus spina-christi roots show strong antibacterial and antioxidant potential.
research Evaluation of anti-Zika virus activities of broad-spectrum antivirals and NIH clinical collection compounds using a cell-based, high-throughput screen assay
Researchers found several compounds that could potentially treat Zika virus.
research Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
research A genetically informed brain atlas for enhancing brain imaging genomics
GIANT improves brain imaging by using genetics to better map brain regions.
research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
research Measuring changes in chemistry, composition, and molecular structure within hair fibers by infrared and Raman spectroscopic imaging
Infrared and Raman imaging can non-destructively analyze hair structure and help diagnose hair conditions.
research JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.