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Research 31–60 of 1000+
- Machine learning driven multi-omics analysis of the genetic mechanisms behind the double-coat fleece formation in Hetian sheep
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
- Machine Learning–Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated with Minoxidil
- Machine Learning–Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated with Minoxidil
- Machine learning applications in androgenetic alopecia: a systematic review
- Machine learning‐guided multi‐omics suggests iron‐dependent hormonal signaling drives root morphological plasticity in wheat under temperature stress
- Machine Learning--Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated With Minoxidil
- An Early Hair Loss Detection and Prediction Method Based on Machine Learning
- Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
- Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment.
- Identification of Stress-Related Hair Loss and Prevention Through the Application of a KNN Model Based on Machine Learning
- Microbial dysbiosis and its diagnostic potential in androgenetic alopecia: insights from multi-kingdom sequencing and machine learning
- Using machine learning to identify predictors of maternal and infant hair cortisol concentration before and during the COVID-19 pandemic
- Emerging smart microneedle technologies in psoriasis: convergence of nanocarriers, machine learning, and personalized delivery
- LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
- A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
- Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
- Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
- How much medication is delivered in a novel drug delivery technique that uses a tattoo machine?
- 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
- Combined Regenerative Technique: Tattoo Machine–Assisted Drug Delivery for Androgenetic Alopecia
- 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
- LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
- Applying Machine Learning Technique on Registry Data to Assess Factors Associated With In-Hospital Mortality Among STEMI Patients With Hypertension
- A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
- A machine learning and network framework to discover new indications for small molecules
- Fabrication of laser-machined hair-on-a-chip for long-term culture of hair tissue