research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
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30-60 / 1000+ results research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
research Non-invasive biomonitoring of infant exposure to environmental organic pollutants in north-western Spain based on hair analysis. Identification of potential sources
Hair analysis shows infants and mothers in north-western Spain are exposed to environmental pollutants, with factors like diet and residence affecting pollutant levels.
research Methods of Using of Cosmeceuticals in Trichological Practice
Use personalized cosmeceuticals for safe, effective hair and scalp treatment.
research Precision and Personalized Medicine in Transdermal Drug Delivery Systems: Integrating AI Approaches
AI-enhanced smart patches can personalize drug delivery for better treatment outcomes.
research A Comparative Review of Alternative Fucoidan Extraction Techniques from Seaweed
All extraction methods can produce similar quality fucoidan, but a holistic approach is needed for method selection.
research The role of 3Rs in the age of One Health: where we are and where we’re going
Innovative methods are reducing animal testing and improving biomedical research.
research Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats
MicroRNAs and AI can improve cashmere goat hair quality and aid in hair disorder diagnosis.
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 Chemistry42: An AI-Driven Platform for Molecular Design and Optimization
Chemistry42 effectively creates and optimizes new molecules for drug discovery.
research Peptide-Based PROTACs: Transitioning from Static Paradigm to a Dynamic Landscape within Targeted Protein Degradation
Peptide-based PROTACs show promise in targeting hard-to-treat proteins, especially for cancer therapy.
research Radiotherapy-Induced Skin Fibrosis: Pathophysiology, Emerging Therapeutics, and the Role of Dermatology
Radiotherapy can cause skin fibrosis, which is often overlooked and needs better treatment and evaluation.
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 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 HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
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 Medical Technologies: Pharmaceutical Cosmetology, Cosmeceuticals – Opportunities and Limitations
Cosmeceuticals effectively treat skin issues but need better regulation and safety measures.
research Artificial Intelligence in Non-Surgical Cosmetic Procedures: A Multi-Stakeholder Revolution
AI is revolutionizing non-surgical cosmetic procedures by improving personalization, safety, and access.
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 Balancing Benefits and Limitations of Artificial Intelligence in Cosmetic Surgery
AI improves cosmetic surgery but requires ethical and legal oversight to ensure safe use.
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 POSTĘP W DIAGNOZIE I LECZENIU STWARDNIENIA ROZSIANEGO
AI and advanced technologies are improving medical diagnostics and treatments.
research Dual-continuous microneedle patch integrating transdermal delivery of pH-sensitive licorzinc MOFs and Zn2+ hydrogel sensors for treating alopecia areata
A new microneedle patch effectively and safely treats alopecia areata.
research Advances in Nanocarrier Systems for Dermatologic Transdermal Drug Delivery: A Chemical and Molecular Review
Nanocarriers show promise for improving skin drug delivery in treating skin conditions.
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 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 DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
research AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
SL-HyDE improves medical information retrieval accuracy without needing labeled data.