research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
Search
for
Sort by
Research
30 / 1000+ results research Chemistry42: An AI-Driven Platform for Molecular Design and Optimization
Chemistry42 effectively creates and optimizes new molecules for drug discovery.
research Advances in Digital Light Processing (DLP) Bioprinting: A Review of Biomaterials and Its Applications, Innovations, Challenges, and Future Perspectives
DLP bioprinting shows promise for medical uses, but needs more material options and strength improvements.
research A genetically informed brain atlas for enhancing brain imaging genomics
GIANT improves brain imaging by using genetics to better map brain regions.
research MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
MSF-VMDNet accurately segments skin cancer images better than existing methods.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
A new method accurately measures cell changes in breast cancer.
research NLKFill: high-resolution image inpainting with a novel large kernel attention
NLKFill improves high-resolution image inpainting by effectively capturing image details and enhancing speed.
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 Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
research An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
The new method improves facial image restoration quality and face recognition accuracy.
research Emerging smart microneedle technologies in psoriasis: convergence of nanocarriers, machine learning, and personalized delivery
Smart microneedles using advanced tech could improve psoriasis treatment.
research Module-based complexity formation: periodic patterning in feathers and hairs
The conclusion is that understanding how feathers and hairs pattern can help in developing hair regeneration treatments.
research Immunosenescence and inflammaging in Parkinson’s disease: mechanisms and therapeutic prospects
Age-related immune changes worsen Parkinson's disease, suggesting new treatment strategies.
research Artificial Intelligence in Non-Surgical Cosmetic Procedures: A Multi-Stakeholder Revolution
AI is revolutionizing non-surgical cosmetic procedures by improving personalization, safety, and access.
research Identification of dual-purpose therapeutic targets implicated in aging and glioblastoma multiforme using PandaOmics - an AI-enabled biological target discovery platform
CNGA3, GLUD1, and SIRT1 are promising targets for treating aging and glioblastoma.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research The Transformative Role of Artificial Intelligence in Plastic and Reconstructive Surgery: Challenges and Opportunities
AI can greatly improve plastic surgery, but ethical care and human aspects must remain a priority.
research Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
Machine learning and single-cell analysis improve understanding and treatment of wound healing.
research Tyrosine kinase Inhibitors in Dermatology: A Systemic Review
Tyrosine kinase inhibitors show promise in treating some skin diseases but their definitive role in dermatology is still unclear.
research Medical Reasoning with Large Language Models: A Survey and MR-Bench
Large language models struggle with accurate clinical decision-making compared to real-world needs.
research Impact of Reporter Type on Signal Detection of Cancer Therapy-Induced Alopecia: A Hypothesis-Generating Study Using the FDA Adverse Event Reporting System
Reporter characteristics affect detection of hair loss from cancer therapy.
research Impact of Reporter Type on Signal Detection of Cancer Therapy–Induced Alopecia: A Hypothesis-Generating Study Using the FDA Adverse Event Reporting System
Reporter characteristics affect detection of hair loss from cancer therapy.
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 Generation of autoreactive CD8 T cell in a mouse model of alopecia areata
Alopecia areata involves unique activation of certain immune cells.
research Generation of trichogenic adipose-derived stem cells by expression of three factors
Scientists made stem cells that can grow hair by adding three specific factors to them.
research Towards cell-based therapy of alopecia areata: Autologous human Vδ2+ Foxp3+ γδTreg cells restore hair-follicle immune privilege and promote hair regrowth in human alopecia areata models ex vivo and in vivo
Special cells can help regrow hair in alopecia areata.
research Perspectives of Alopecia behind the Regulation of Foxn1 Gene Exposes the Human Nude Phenotype
The gene Foxn1 is important for hair growth, and understanding it may lead to new alopecia treatments.