research Innovative Method of Alopecia Treatment by Using Adipose-derived Stromal Vascular Fraction (SVF) Cells
Using fat-derived cells to treat hair loss increased hair density and thickness without side effects.
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150-180 / 1000+ results research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT (GATEWAYS) Scoring of Alopecia Areata
Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
research MmuPV1 infection and tumor development of T cell-deficient mice is prevented by passively transferred hyperimmune sera from normal congenic mice immunized with MmuPV1 virus-like particles (VLPs)
Giving immune serum from vaccinated mice to mice without T cells prevents infection and tumor growth.
research Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
research LGR5 is a Marker of Poor Prognosis in Glioblastoma and is Required for Survival of Brain Cancer Stem‐Like Cells
High LGR5 levels in glioblastoma indicate poor prognosis and are essential for cancer stem cell survival.
research Verrucous hemangioma leg: A challenging birthmark
A boy with a rare birthmark called verrucous hemangioma needed careful timing for surgery due to its size and depth.
research Linear immunoglobulin A/immunoglobulin G bullous dermatosis associated with Vogt-Koyanagi-Harada disease
A man had two rare autoimmune diseases that might be connected.
research The vellus index: a new method of assessing hair growth
The vellus index is a simple, quick, and reliable method to assess and monitor hair growth, especially in hirsutism.
research Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Deep learning effectively diagnoses scalp disorders, but improvements are needed.
research DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
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 Identification of Candidate Genes for Min Pig Villi Hair Traits by Genome-Wide Association of Copy Number Variation
Researchers found genes that may explain why some pigs grow winter hair, which could help breed cold-resistant pigs.
research Systematic Literature Review on Troubleshooting Delivery of Production Product Using n-Vehicle with Vogel Total Difference Approach Method
The Vogel Total Difference Approach Method helps reduce shipping costs in production delivery.
research Phase II Evaluation of VDC ‐1101 in Canine Cutaneous T‐Cell Lymphoma
VDC-1101 shows potential as a treatment for canine cutaneous T-cell lymphoma.
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 DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
research Advancing the Understanding and Management of Segmental Vitiligo and Co‐Existing Pigmentary Disorders
Better diagnostic tools and treatment guidelines are needed for segmental vitiligo and related pigment issues.
research Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
Random Forest Regression is best for predicting baldness risk.
research Multimodal profiling reveals site-specific adaptation and tissue residency hallmarks of γδ T cells across organs in mice
γδ T cells adapt uniquely to different tissues in mice.
research Vogt-Koyanagi-Harada Disease: A Narrative Review
Vogt-Koyanagi-Harada disease affects vision and skin, mainly in people with darker skin, and is treated with steroids and immunosuppressants.
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research A slow-cycling LGR5 tumour population mediates basal cell carcinoma relapse after therapy
A small group of slow-growing cells causes basal cell carcinoma to return after treatment.
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 [Experimental study on vascular endothelial growth factor 165 gene-modified rat hair follicle stem cells mediated by lentiviral vector].
Modified rat hair follicle stem cells can help create artificial hair follicles, blood vessels, and skin.
research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
research Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study
The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
research MCMV Infection Lowers the Threshold for the Development of Clinical GvHD after Allogeneic Bone Marrow Transplantation.
CMV infection increases the risk of GvHD after bone marrow transplants.
research A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.