research A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet
A web platform was created to help diagnose scalp conditions accurately and easily.
Search
for
Sort by
Research
90-120 / 1000+ results
research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
research Cell‐free transcriptomic profiles and mechanism insights in female androgenetic alopecia
DNAJB9 cfRNA could help diagnose and treat female hair loss.
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 HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
"HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
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 Research Techniques Made Simple: Optical Clearing and Three-Dimensional Volumetric Imaging of Skin Biopsies
3D imaging of skin biopsies offers better accuracy but is time-consuming and can't clear melanin.
research Nanotechnology-Based Strategies for Hair Regeneration: Mechanistic Insights and Translational Perspectives for Androgenetic Alopecia
Nanotechnology offers promising new treatments for hair loss by improving targeted delivery and addressing key causes.
research A learning module in hair restoration surgery: A simple and economic method to learn all steps of strip method of hair follicles harvesting and implantation
Garg and Garg created an affordable, easy-to-use training program for hair restoration surgery using everyday items, which can teach a technician the basics in 3-4 weeks with two hours of daily practice.
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 Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research A nude mouse model of hypertrophic scar shows morphologic and histologic characteristics of human hypertrophic scar
Nude mice with grafted human skin developed scars similar to human hypertrophic scars.
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 A use-and-transformation model for evaluating public R&D: Illustrations from polycystic ovarian syndrome (PCOS) research
The document suggests a new model for evaluating public research that better captures the full value of knowledge creation and use, using PCOS research as an example.
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 Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study (Preprint)
The study aims to create a model to improve personalized and preventive health care.
research A comparative analysis of three explanatory models of mental disorder and a preferred focus of explanation
Steroid cell tumors in the ovary are rare, can produce testosterone causing symptoms, and are mainly treated with surgery.
research Minimizing Factual Inconsistency and Hallucination in Large Language Models
A new method improves the accuracy and reliability of language models by up to 42%.
research Remote photobiomodulation ameliorates behavioral and neuropathological outcomes in a rat model of repeated closed head injury
Remote photobiomodulation improves brain injury outcomes and behavior in rats.
research A regenerative stem cell-derived matrix accelerates functional dermal wound repair in a preclinical diabetic model
A stem cell-derived matrix speeds up healing of diabetic skin wounds.
research Forensic DNA Phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.
research Generating detailed intercellular communication patterns in psoriasis at the single-cell level using social networking, pattern recognition, and manifold learning methods to optimize treatment strategies
New insights into cell communication in psoriasis suggest innovative drug treatments.
research Human Macrophages Preferentially Infiltrate the Superficial Adipose Tissue
Human body's immune cells are more common in the layer of fat just beneath the skin than in deeper fat layers.
research Keratinocytes and Adipose-derived mesenchymal stem cells : The heir and the spare to regenerative cellular therapies for difficult-to-heal skin wounds
Keratinocytes and adipose-derived stem cells can effectively heal difficult skin wounds.
research A Guide to Studying Human Hair Follicle Cycling In Vivo
The document provides a method to classify human hair growth stages using a model with human scalp on mice, aiming to standardize hair research.
research Female sexuality and common sexual dysfunctions: evaluation and management in a primary care setting
Primary care doctors should address female sexual dysfunctions to improve women's sexual health and life quality.
research Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
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.
research Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.