research Follicular Unit Extraction
FUE provides minimal scarring and quick recovery in hair transplantation, and surgeons not using it may lag in technology.
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research Facial Hair Restoration
Facial hair restoration is generally successful and satisfying for patients when done with quality techniques and realistic expectations.
research Follicular Unit Extraction
Follicular Unit Extraction is a less invasive hair transplant method with potential for natural results but has challenges like longer surgery time and higher cost.
research Characteristics of robotically harvested hair follicles in Koreans
The robotic hair restoration device had a high success rate and was faster than manual methods for Korean patients.
research Pretrimmed versus Direct Nonshaven Follicular Unit Extraction
Both pretrimmed and direct nonshaven methods are effective for hair transplants; pretrimmed takes longer but yields denser, longer hair.
research Preview long hair follicular unit excision: An up‐and‐coming technique
Long hair FUE, a hair transplant without shaving, is becoming more popular and surgeons should learn it.
research A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
Machine learning can accurately predict mental disorders.
research Innovative modified hair follicle harvesting technique with reverse rake scalp elevator for lower occipital donor area in follicular unit extraction hair transplantation
The new hair follicle harvesting technique improves hair transplant results and makes the procedure quicker and easier to learn.
research Microbial dysbiosis and its diagnostic potential in androgenetic alopecia: insights from multi-kingdom sequencing and machine learning
Microbial imbalances on the scalp can help diagnose and manage hair loss early.
research Cryogelation of human hair keratins
Human hair keratins can be turned into useful 3D biomedical scaffolds through a freeze-thaw process.
research How to Assess Dermatology Resident Surgical Training: New Techniques
New evaluation tools are needed for better surgical training in dermatology residency programs.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research 200 Deep learning model to predict sentinel lymph node status in melanoma patients
The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
research Nonshaven Follicular Unit Extraction
Nonshaven follicular unit extraction is a good hair transplant option that doesn't require shaving and can transplant up to 3000 grafts daily.
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 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 Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Establishment and Clinical Application of the Concept of Invalid Extraction Rates in Follicular Unit Extraction
Tracking invalid extraction rates can improve hair transplant outcomes by assessing surgeon skill.
research Machine learning driven multi-omics analysis of the genetic mechanisms behind the double-coat fleece formation in Hetian sheep
Key genes IRF2BP2 and EGFR are linked to Hetian sheep's double-coat fleece.
research Global, Regional, and National Burden of Alopecia Areata in Children and Adolescents Aged 0-19 years from 1990 to 2021 and Projection to 2040
Alopecia areata cases in children are rising, especially in females and low-income regions, with a projected increase in China and decrease in the USA.
research Optimizing hair transplant outcomes: integration of AI, robotics, and stem cell therapies
New technologies like AI, robotics, and stem cells have made hair transplants more effective and natural-looking.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research A Segmental Approach to Scoring Hair Density from Global Images: Introducing the Scalp Coverage Scoring Method for Clinical Trials and Practice
The Scalp Coverage Scoring method reliably measures hair density from images.
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 Quantifying effects of aging across structures of the mouse auditory system, with in-vitro brain slice preparations
Chronological age affects the mouse auditory cortex more than hearing loss, and the brain may be less sensitive to mitochondrial dysfunction.
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 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 A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.
research How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
research Machine learning for nanozyme development in anti‐inflammatory applications
Rational design strategies are crucial for developing effective nanozymes for anti-inflammatory uses.