research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
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research A modified Sobel filter-based automated numerical algorithm enables immediate trichoscopic assessment of hair diameter diversity in male and female pattern hair loss
A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
research Estimating Scalp Moisture in a Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
research Past, present, and future of global research on artificial intelligence applications in dermatology: A bibliometric analysis
AI in dermatology is growing rapidly, showing promise in diagnosing skin conditions as accurately as dermatologists.
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 Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications
Ultrasound-based radiomics and radiogenomics can improve ovarian cancer diagnosis and treatment, but need better standardization and AI tools.
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 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 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 Scalp disease analysis using deep learning models
Deep learning models can analyze scalp diseases effectively.
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 Innovations in skin microphysiological systems for nonclinical testing and FDA modernization
New technologies replicate human skin for testing without animals.
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 Artificial intelligence: revolutionizing robotic surgery: review
AI in robotic surgery improves precision and safety but faces cost and ethical challenges.
research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
research Development and application of emotion recognition technology — a systematic literature review
Emotion recognition tech helps devices understand emotions, but more research is needed for complex situations.
research Who do we invent for? Patents by women focus more on women’s health, but few women get to invent
Women inventors focus more on women's health, but there are few of them.
research Poster Presentations
Ustekinumab successfully treated a man's resistant skin condition when other treatments failed.
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 Non-invasive skin measurement methods and diagnostics for vitiligo: a systematic review
Reliable, non-invasive tools are needed for better vitiligo diagnosis.
research Recent Advances in Peptide Drug Discovery: Novel Strategies and Targeted Protein Degradation
Peptide drugs now target hard-to-reach proteins more effectively and specifically.
research Spatial and single-cell transcriptomics unravel the complex interplay between the body and medical implants
New technologies help us understand how the body reacts to medical implants, which can improve implant performance.
research Advancements in Dermatological Imaging Modalities
New imaging technologies improve skin diagnosis but face cost and training challenges.
research Computer-Aided Designing Peptide Inhibitors of Human Hematopoietic Prostaglandin D2 Synthase Combined Molecular Docking and Molecular Dynamics Simulation
Two peptides, RMYYY and VMYMI, may be effective anti-inflammatory drugs.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
research Can Artificial Intelligence “Hold” a Dermoscope?—The Evaluation of an Artificial Intelligence Chatbot to Translate the Dermoscopic Language
AI chatbots can help teach dermatology but need careful checking for accuracy.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
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 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 Accessing Properties of Molecular Compounds Involved in Cellular Metabolic Processes with Electron Paramagnetic Resonance, Raman Spectroscopy, and Differential Scanning Calorimetry
These methods help understand cell structures and reactions.