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.
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240-270 / 1000+ results 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 Non-Scarring Alopecia in Females: A Comprehensive Review
Non-scarring alopecia in females affects emotional well-being and requires accurate diagnosis and personalized treatment.
research Trichotillomania Incognita in an Adult Female: A Great Mimicker Worth Attention!
Trichotillomania incognita can mimic hair loss patterns and requires careful diagnosis to avoid misdiagnosis.
research Pilomatricoma in Syndromic Contexts: A Literature Review and a Report of a Case in Apert Syndrome
Pilomatricomas are often linked to genetic syndromes, especially Apert syndrome, and genetic analysis is crucial for diagnosis.
research First clinical cases of leishmaniosis in meerkats (Suricata suricatta) housed in wildlife parks in Madrid, Spain
Leishmaniosis was found in meerkats in Madrid wildlife parks, highlighting the need for more research and careful diagnosis.
research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
research A Concise Review of Organoid Tissue Engineering: Regenerative Applications and Precision Medicine
Organoids can revolutionize medicine by modeling diseases and aiding in personalized treatments.
research Antimüllerian hormone to determine polycystic ovarian morphology
A blood test level of 3.2 ng/mL of Antimüllerian hormone is good for identifying polycystic ovarian morphology in European women aged 25–45.
research Current Development of Mesenchymal Stem Cell-Derived Extracellular Vesicles
MSC-derived EVs show promise for therapy, but production and understanding need improvement.
research A quantitative technique to analyze and evaluate microstructures of skin hair follicles based on mueller matrix polarimetry
The technique accurately identifies and evaluates hair follicle structures in skin.
research Green and Emerging Microextraction Strategies for Bioanalytical Determination of Hormones: Trends, Challenges, and Applications
Microextraction techniques improve hormone testing while being environmentally friendly.
research A Nonredundant Human Protein Chip for Antibody Screening and Serum Profiling
The technology can help diagnose and subtype autoimmune diseases by identifying specific autoantibodies.
research Organoid‐Guided Precision Medicine: From Bench to Bedside
Organoid technology is improving personalized medicine by better predicting drug responses and treatments.
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 What happens when simulations get real and cosmetic dermatology goes virtual?
AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
research Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients
SARS-CoV-2 may worsen IPF due to shared genes and pathways, suggesting potential drug targets.
research Biochemical Insights and Clinical Applications of Ischemia-Modified Albumin in Ischemic Conditions
Ischemia-modified albumin can help diagnose ischemic conditions early, but better detection methods are needed.
research Recent Advances in the Electro-Active Therapeutic Phytochemical-Based Sensors
Plant-based sensors can help in healthcare but need skilled technicians.
research Editorial: Progress and Prospects on Skin Imaging Technology, Teledermatology and Artificial Intelligence in Dermatology
New skin imaging, teledermatology, and AI could become key in future dermatology care.
research Regenerative Strategies for Androgenetic Alopecia: Evidence, Mechanisms, and Translational Pathways
New regenerative treatments show promise in improving hair growth for androgenetic alopecia.
research Hypothalamic-pituitary-adrenal axis, hair, and sebum: Stress-mediated dermatologic disasters of the pandemic era
Pandemic stress worsens hair loss and skin issues, suggesting combined mental and skin care treatments.
research PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research Exhaustive analysis of scalp hair regression: subjective and objective perception from initial hair loss to severe miniaturisation and drug-induced regrowth
Hair loss reduces hair thickness and coverage, but drug treatments mainly revive dormant hairs rather than reverse thinning; patients often undervalue their hair loss severity.
research Clinical Features and Treatment Options of Vogt-Koyanagi-Harada Disease
Early treatment with corticosteroids and immunosuppressants is crucial for managing Vogt-Koyanagi-Harada disease.
research The Application of the Insulin to C-Peptide Molar Ratio (ICPR) in Primary Screening for Insulin Antibodies in Type 2 Diabetes Mellitus Patients: A Further Quantitative Study on the Relationship Between ICPR and Insulin Antibodies
2h-ICPR can help screen for insulin antibodies in type 2 diabetes patients.
research Unveiling Post-COVID-19 syndrome: incidence, biomarkers, and clinical phenotypes in a Thai population
Many people in Thailand have lingering symptoms after recovering from COVID-19.
research Hair density response to photobiomodulation in canine alopecia X is measured reliably with an ordinal scale: a randomized, controlled, double-blind study
Photobiomodulation did not significantly improve hair density in dogs with alopecia X.
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.