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- ARTIFICIAL INTELLIGENCE AND THE DIAGNOSTIC INVISIBILITY OF WOMEN’S METABOLIC DISORDERS: A NARRATIVE REVIEW OF SOCIO-TECHNICAL CHALLENGES IN PCOS/PMOS RECOGNITION
- Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
- Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- Understanding Polycystic Ovary Syndrome
- From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research
- Emerging non-invasive tools for hair follicle assessment: a narrative review on hyperspectral and terahertz imaging
- Implementing patient safety and quality improvement in dermatology. Part 1: Patient safety science
- Perspective Chapter: Repurposing Natural Products to Target COVID-19 – Molecular Targets and New Avenues for Drug Discovery
- Estimating long COVID-19 prevalence across definitions and forms of sample selection
- Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
- Repositioning Old Drugs for New Battles: The Expanding Role of Drug Repurposing in Cancer, Inflammation, and Metabolic Disease.
- Mesenchymal Stem Cells from Adipose Tissue in Clinical Applications for Dermatological Indications and Skin Aging
- The Role of the Hairless (hr) Gene in the. Regulation of Hair Follicle Catagen Transformation
- New-Onset Alopecia Is Significantly Higher with Tirzepatide than with Semaglutide, Even After Weight-Loss Matching
- Gut microbiota-derived metabolites in keloid and hypertrophic scarring
- Computational Drug Repositioning in Cardiorenal Disease: Opportunities, Challenges, and Approaches
- HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
- An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
- SARS-CoV-2 Infection—A Trigger Factor for Telogen Effluvium: Review of the Literature with a Case-Based Guidance for Clinical Evaluation
- BaldPredict: AI-Driven Prediction Model for Alopecia Areata
- Artificial Intelligence in Hair Disorders: A Narrative Review
- Advancing dermatology patients’ quality of life through digital health innovations: a comprehensive systematic review
- Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
- Can Artificial Intelligence Support Patient Education in Scabies? A Comparative Analysis of Large Language Model Responses
- Exploring New Horizons: Surgical Robots Supported by Artificial Intelligence
- Impact of a High-Fat High-Carbohydrate (HFHC) Diet at a Young Age on Steroid Hormone Hair Concentrations in Mice: A Comparison with a Control Diet and Nutraceutical Supplementation
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- Phytochemicals of Alpinia zerumbet: A Review
- Patient Perspectives regarding Artificial Intelligence-Driven Trichoscopy for Alopecia Evaluation