research Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
AI in hair and scalp analysis shows promise but lacks real-world clinical integration and validation.
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210-240 / 1000+ resultsresearch KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research Dyslipidemia and obstructive sleep apnea in men with androgenetic alopecia: an analysis from the EPISONO study
Men with hair loss are more likely to have cholesterol issues and sleep apnea.
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 Enhancing Low-Light Sports Motion Images with Improved Bilateral Filtering and Auto MSRCR
The method greatly improves low-light sports images' quality and reduces artifacts.
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 DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Exploring differential gene expression and biomarker potential in systemic lupus erythematosus: a retrospective study
FCER1A and RGS1 may help diagnose and treat systemic lupus erythematosus.
research Artificial Intelligence in Dermatology: Assessing Predictability in Clinical Diagnosis
The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research AI06 ALUDWIG: an automated artificial intelligence-based assessment of female androgenic alopecia
ALUDWIG can help standardize female hair loss assessment from a single image.
research No increased risk of mood disorders in male androgenetic alopecia patients treated with dutasteride and finasteride: a retrospective cohort database study
Dutasteride and finasteride do not increase mood disorder risk in men with hair loss.
research Integrated edge information and pathway topology for drug-disease associations
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research 200 Deep learning model to predict sentinel lymph node status in melanoma patients
The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
research Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text
The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
research 701 Rethinking alopecia scores: Correlating measures of hair loss with established photographic scoring systems
The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
research Author response: Crosstalk with keratinocytes causes GNAQ oncogene specificity in melanoma
Keratinocytes can reverse the effects of the GNAQ oncogene, inhibiting melanoma cell growth.
research Decision letter: Crosstalk with keratinocytes causes GNAQ oncogene specificity in melanoma
The microenvironment affects the behavior and survival of melanocytes with the GNAQ oncogene in melanoma.
research The Suppression of Very Long Chain Fatty Acids Is Associated with Skin Carcinogenesis
Suppressing very long chain fatty acids is linked to skin cancer.
research A Comprehensive Review of Alopecia Areata Detection Using Self-Supervised Auto ML Models: Systematic Insights and Emerging Challenges
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
research AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
research Investigating the role of obesity, circadian disturbances and lifestyle factors in people with schizophrenia and bipolar disorder: Study protocol for the SOMBER trial
The trial aims to understand how obesity and lifestyle affect circadian rhythms in people with schizophrenia and bipolar disorder.
research 1424 Mapping the establishment of fibroblast heterogeneity during skin development and wound repair
Skin heals with scars because only one type of fibroblast is used, not a mix.
research Anticancer drugs in surface waters
Anticancer drugs are increasingly found in surface waters, and their long-term environmental effects are not well understood, requiring better testing methods.
research Is COVID-19 Gender-sensitive?
Men have more severe COVID-19 outcomes than women.
research Permanent alopecia after cranial irradiation: Dose–response relationship
Higher doses of cranial irradiation are linked to permanent hair loss.
research 2-Substituted 4-(Thio)chromenone 6-O-Sulfamates: Potent Inhibitors of Human Steroid Sulfatase
New compounds were made that block an enzyme linked to breast cancer better than existing treatments.
research Oxidative Damage Control in a Human (Mini-) Organ: Nrf2 Activation Protects against Oxidative Stress-Induced Hair Growth Inhibition
Activating Nrf2 protects human hair follicles from oxidative stress and helps prevent hair growth inhibition.