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- Standard guidelines of care: laser and IPL hair reduction.
- Laser facial hair removal protocol and key consultation considerations
- A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
- ADVANCES IN FUNCTIONAL NEUROSURGERY – MACHINE LEARNING, NEURAL ENGINEERING AND ROBOTICS IN TREATMENT OF NEURODEGENERATIVE DISORDERS
- Emerging smart microneedle technologies in psoriasis: convergence of nanocarriers, machine learning, and personalized delivery
- How much medication is delivered in a novel drug delivery technique that uses a tattoo machine?
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- A machine learning and network framework to discover new indications for small molecules
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- Study on different fractional CO2 laser parameters combined with halometasone in treatment of chronic eczema
- Comparison of metformin and N-acetylcysteine on metabolic parameters in women with polycystic ovarian syndrome
- IL6 is correlated with metabolic syndrome parameters in oral lichen planus
- Global Research Trends for Platelet-Rich Plasma: A Science Mapping with Machine Learning Techniques
- Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms
- What do users in a polycystic ovary syndrome (PCOS) forum think about the treatments they tried: Analysing treatment sentiment using machine learning
- Machine Learning Guided Discovery of Superoxide Dismutase Nanozymes for Androgenetic Alopecia
- A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
- Machine learning-based steroid metabolome analysis reveals three distinct subtypes of polycystic ovary syndrome and implicates 11-oxygenated androgens as major drivers of metabolic risk
- Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
- Dermoscopic pre‐ and posttreatment evaluation in patients with androgenetic alopecia on platelet‐rich plasma—A prospective study
- Machine learning for nanozyme development in anti‐inflammatory applications
- Machine learning driven multi-omics analysis of the genetic mechanisms behind the double-coat fleece formation in Hetian sheep
- Preclinical efficacy and safety evaluation of a topical mesenchymal stem cell derived conditioned media gel for oral mucositis management
- Microbial dysbiosis and its diagnostic potential in androgenetic alopecia: insights from multi-kingdom sequencing and machine learning
- Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
- Machine Learning--Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated With Minoxidil
- An Early Hair Loss Detection and Prediction Method Based on Machine Learning