research Long hair follicular unit excision: personal experience
Long hair follicular unit excision is effective for hair transplants, providing quick, natural-looking results with less pain but needs more time, staff, and skill.
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90-120 / 1000+ results research Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
Machine learning can effectively identify genes to improve wool quality in sheep.
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 Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment.
Machine learning optimized microneedles for hair loss treatment showed better hair regrowth than minoxidil without safety risks.
research Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
research Can online medical education improve management of challenging cases of onychomycosis?
Online medical education helps doctors make better clinical decisions and increases their knowledge in treating fungal nail infections.
research Miniflap Hair Restoration
Dr. George A. Farber recommends using follicular unit transplantation for hair restoration because it gives a more natural look and has fewer problems compared to the older miniflap technique.
research Improving preparation for scalp cooling: Learning from women undergoing chemotherapy for early‐stage breast cancer—The COOL study
Comprehensive information and trained nurses are crucial for a better scalp cooling experience during chemotherapy.
research Introductory Chapter: Learning and Recognizing the Post-COVID Syndromes
Long COVID affects many survivors with ongoing symptoms, needing more research and care.
research Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study
Afatinib, neratinib, and zanubrutinib could be effective against KRASG12C-mutant tumors.
research Treatment options and emotional well-being in patients with rosacea: An unsupervised machine learning analysis of over 200,000 posts
Rosacea patients often discuss treatments and emotional struggles online, highlighting the need for professional support.
research FUE vs. FUT-MD: Study of 1,780 Follicles in Four Patients
FUT-MD hair transplants have higher follicle survival rates than FUE transplants.
research Knowledge Mapping of Drug Repositioning’s Theme and Development
Drug repositioning can save time and money but needs more support.
research Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
research Long Hair FUE and the Donor Area Preview
The "open punch" technique for hair transplantation can help reduce damage to hair grafts and may be especially useful for beginners and in cases with curly hair.
research A comprehensive review of evolution of advanced follicular unit excision systems
Advanced FUE systems have evolved to improve precision and efficiency in hair transplantation.
research PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research FUT vs. FUE Graft Survival: A Side-by-Side Study of 3 Patients Undergoing a Routine 2,000+ Graft Hair Transplantation
FUE and FUT hair transplants have similar success rates, with FUE slightly better.
research Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
research Innovations in skin microphysiological systems for nonclinical testing and FDA modernization
New technologies replicate human skin for testing without animals.
research Regenerative Strategies for Androgenetic Alopecia: Evidence, Mechanisms, and Translational Pathways
New regenerative treatments show promise in improving hair growth for androgenetic alopecia.
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 A State-of-the-Art Overview on (Epi)Genomics and Personalized Skin Rejuvenating Strategies
Personalized skin rejuvenation using genomics shows promise but needs more research.
research Dermatologia e Procedimentos Estéticos Ed. XXVII
Continuous learning and personalized treatments are crucial in dermatology due to rapid technological advancements.
research Beard and Body Hair Transplantation by Follicular Unit Excision Using a Skin-Responsive Device: A Multicenter Study
The skin-responsive device improved beard and body hair transplant success and increased surgeons' willingness to perform the procedure.
research Hair transplantation in androgenetic alopecia
Hair transplantation techniques have improved, making the process safer and more effective with less visible scarring.
research Hormonal control of vas deferens fluid volume and aquaporin expression in rats
Testosterone increases fluid secretion and aquaporin expression in the vas deferens, which is important for male fertility.
research Estimating Scalp Moisture in a Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.