research ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.
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research Detecting shortcut learning for fair medical AI using shortcut testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
research A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
research The Use of Platelet-Rich Plasma in Aesthetic and Regenerative Medicine: A Comprehensive Review
Platelet-rich plasma may help in skin and hair treatments, and with muscle and joint healing, but more research is needed to fully understand its benefits and limitations.
research From Piezoelectric Nanogenerator to Non-Invasive Medical Sensor: A Review
Piezoelectric Nanogenerators are promising for non-invasive health monitoring but need efficiency and durability improvements.
research The Transformative Impact of Extracellular Vesicles on the Cosmetics Industry: A Comprehensive Review
Extracellular vesicles could revolutionize skincare by improving skin repair and anti-aging, but face regulatory and cost challenges.
research Acceptance of COVID-19 Vaccine Booster Doses Using the Health Belief Model: A Cross-Sectional Study in Low-Middle- and High-Income Countries of the East Mediterranean Region
People in high-income countries are more likely to accept COVID-19 booster doses than those in middle or low-income countries.
research Clinical and laboratory indicators of polycystic ovary syndrome in Chinese Han nationality with different Rotterdam criteria-based phenotypes
Different types of PCOS in Chinese Han women show varying levels of male hormone and metabolic issues.
research Nutritional and Microbial Strategies for Treating Acne, Alopecia, and Atopic Dermatitis
A plant-based diet and certain probiotics may improve skin health and reduce inflammation.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
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 A Top-Down Design Approach for Generating a Peptide PROTAC Drug Targeting Androgen Receptor for Androgenetic Alopecia Therapy
A new AI-driven method shows promise for treating hair loss with a peptide-based drug.
research Methods of Using of Cosmeceuticals in Trichological Practice
Use personalized cosmeceuticals for safe, effective hair and scalp treatment.
research The Future of Aesthetic Medicine: Patient‐Centered Trends and Technologies with Dr. Face and Dr. Slim
Aesthetic medicine is focusing more on patient needs and using new technologies, but ethical issues and regulation challenges need attention.
research Harnessing Regenerative Science in Aesthetic Surgery: The Biologically Driven Future
Regenerative medicine could revolutionize aesthetic surgery, but needs careful validation and ethical use.
research The Anti-Aging Effects of Adipose-Derived Mesenchymal Stem Cell Exosomes on Skin and Their Potential for Personalized Skincare Applications
Adipose-derived stem cell exosomes and AI can improve personalized skincare by offering anti-aging benefits and precise product customization.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research Kalya Research: Complementary and Alternative Medicine (CAM) Virtual Research Assistant from Biomedical Literature
Kalya Research is an AI tool that effectively finds and analyzes alternative medicine literature, saving researchers time.
research Artificial intelligence in trichology - usage and prospects
AI can improve hair care but needs legal clarity and is not widely used in Poland yet.
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 Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
research Genetic Variants and Protective Immunity against SARS-CoV-2
Genetic differences affect how people respond to COVID-19.
research Leveraging Single Nucleotide Polymorphism Profiling for Precision Skin Care: How SNPs Shape Individual Responses in Cosmetic Dermatology
SNP profiling allows personalized skincare treatments for better results and fewer side effects.
research The repression of mètis within digital organizations
Over-reliance on automation limits human problem-solving in emergencies.
research Advancing Design Strategy of PROTACs for Cancer Therapy
PROTACs show promise for cancer treatment, but designing them effectively is challenging.
research How Can Clinicians Leverage Vibe Coding for Machine Learning and Deep Learning Research?
Clinicians can use vibe coding to easily engage in machine learning research without needing to know Python.
research NANOPARTICLE-EMBEDDED MICRONEEDLES FOR ENHANCED TRANSDERMAL DELIVERY: ADVANCES AND APPLICATIONS
Nanoparticle-embedded microneedles improve drug delivery through the skin but face challenges in stability and safety.
research Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
A new method makes analyzing large datasets with rare events faster and more efficient.