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.
Search
for
Sort by
Research
420-450 / 1000+ results 
research A machine learning and network framework to discover new indications for small molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
research Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset
Google Search ads effectively gathered a diverse dermatology image dataset for research and AI development.
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 Estimating Scalp Moisture in a Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
research The Transformative Role of Artificial Intelligence in Plastic and Reconstructive Surgery: Challenges and Opportunities
AI can greatly improve plastic surgery, but ethical care and human aspects must remain a priority.
research Ultrahigh-Power Sonicator Lysis Enables Deep ProteomicProfiling of Hair Shafts for Fetal Growth Restriction Biomarker Discovery
A new method helps find proteins in hair to identify fetal growth issues.
research Computing Your Ideal Haircut Routine
The ideal haircut routine can be determined using a model based on hair growth and regular haircuts.
research Machine Learning--Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated With Minoxidil
Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.
research Machine Learning Applications for Drug Repurposing
Machine learning helps find new uses for existing drugs, improving healthcare.
research Development of Pneumatic Dual-Cell Stacking Implanter
The new device can implant cell mixtures more effectively for hair loss treatment and is easier for operators to use.
research Strategy for Generating Blinded Evidence for Single-Arm Trials with External Controls Using Expert Review of Home Video
A new method uses expert reviews of home videos to objectively assess children's developmental milestones in single-arm trials.
research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
research Wavelength-encoded laser particles for massively-multiplexed cell tagging
New laser particles can track thousands of cells in 3D models, improving single-cell analysis.
research A Critical Evaluation of Evaluations for Long-form Question Answering
Current methods can't accurately predict which long-form answers people prefer; evaluations should consider different answer qualities separately.
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can distort our understanding of COVID-19 risk and severity.
research PolyQ length co-evolution in neural proteins
PolyQ repeats in neural proteins evolve together, affecting brain function and disease.
research 48853 The AI Doctor will see you now: Can ChatGPT-4 be used to safely counsel patients with allergic contact dermatitis?
ChatGPT-4 can help with allergic contact dermatitis but shouldn't replace expert doctors.
research Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
Machine learning can help find new ways to treat alopecia areata.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT helps understand single-cell gene expression better than current methods.
research Fail-tests of DNA methylation clocks, and development of a noise barometer for measuring epigenetic pressure of aging and disease
Elastic Net DNA methylation clocks are inaccurate for predicting age and health status; a "noise barometer" may better indicate aging and disease.
research The Follicular Automaton Model: Effect of Stochasticity and of Synchronization of Hair Cycles
The model showed that randomness accurately describes individual hair growth cycles and that synchronization can cause large fluctuations not seen in humans.
research Artificial Intelligence in Patient Education for Androgenetic Alopecia: A Comparative Study of ChatGPT, Gemini, and Deepseek R1
ChatGPT 4.0 and Gemini 1.5 Flash are effective for educating patients about androgenetic alopecia, while Deepseek R1 is less reliable.
research Isolation of epithelial stem cells from dermis by a three-dimensional culture system
Researchers isolated a new type of stem cell from mouse skin that can renew itself and turn into multiple cell types.
research Exact, time-independent estimation of clone size distributions in normal and mutated cells
A new method accurately estimates clone sizes in cells without considering time.
research Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
research Three-row stereocilia model predicts mammalian hair bundle behavior
The model explains how mammal ear hair cells respond to sound and adapt.
research 54553 Diversity in dermatology datasets: what next?
Dermatology datasets need more diversity in skin tones and ethnic representation.
research Prediction of male-pattern baldness from genotypes
Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
research A machine learning and network framework to discover new indications for small molecules
The model successfully predicted new uses for existing drugs, like using certain hormonal and heart medications for respiratory and Parkinson's diseases, and a cancer drug for diabetes.