research Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management
Microbiome analysis, BEVs, and AI can improve PCOS diagnosis and treatment.
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120-150 / 1000+ resultsresearch Raman investigation of in vivo radiation exposure on melanin in murine hair
Raman spectroscopy can detect radiation exposure in mouse hair with high accuracy for up to 7 days.
research Repurposing With Purpose: Treatment of Bachmann–Bupp Syndrome With Eflornithine and Implications for Other Polyaminopathies
Eflornithine improved symptoms in Bachmann–Bupp Syndrome patients.
research Performance exploration of multi-gene panels of alopecia areata susceptibility and drug-binding targets
Methotrexate, resveratrol, and curcumin may help treat alopecia areata by targeting immune cells.
research Artificial Intelligence in Healthcare – A Review
AI can greatly improve healthcare by enhancing disease prevention, detection, diagnosis, and treatment.
research Nanotechnology-Based Strategies for Hair Regeneration: Mechanistic Insights and Translational Perspectives for Androgenetic Alopecia
Nanotechnology offers promising new treatments for hair loss by improving targeted delivery and addressing key causes.
research Decoding Gut Microbiome Dysbiosis as a Non-Invasive Diagnostic Biomarker for Alopecia Areata
Gut bacteria differences could help diagnose and treat alopecia areata.
research HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
"HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
research 8280186 Biomarkers for Occupational Hand Eczema: Improving Diagnostic Differentiation
Certain biomarkers can help distinguish between irritant and allergic contact dermatitis.
research Circulating MicroRNA Signatures in Severe Alopecia Areata: Diagnostic Discrimination, Pathway Analysis, and Therapeutic Implications
Specific miRNA profiles can help diagnose and treat alopecia areata.
research Identification and single-cell analysis of prognostic genes related to mitochondrial and neutrophil extracellular traps in bladder cancer
Six key genes can predict bladder cancer outcomes and may serve as prognostic biomarkers.
research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
research Unique Circulating MicroRNA Signatures Distinguish Severe Alopecia Areata from Other Inflammatory Skin Diseases
Unique microRNA patterns can help diagnose and treat severe alopecia areata.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research Transcriptomics analysis reveals molecular alterations underpinning spaceflight dermatology
Spaceflight can harm skin health, but organisms can adapt after returning to Earth.
research Role of Drug Repurposing in Sustainable Drug Discovery
Drug repurposing speeds up drug development, saves money, and has led to about a third of new drug approvals.
research Integrated single-cell chromatin and transcriptomic analyses of human scalp reveal etiological insights into genetic risk for hair and skin disease
The research provided new insights into the genetic factors contributing to hair loss and skin conditions by analyzing individual cells from the human scalp.
research The 3D Bioprinted Scaffolds for Wound Healing
3D bioprinting improves wound healing by precisely creating scaffolds with living cells and biomaterials, but faces challenges like resolution and speed.
research Weakly supervised learning of biomedical information extraction from curated data
The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
research ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.
research Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
research Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
research DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
research Learning Curve for the Hair Implanter Pen
The Hair Implanter Pen increases speed and is gentle on grafts, with users mastering it after a few tries.
research Comprehensive Program Planning for the Integration of 21st Century Learning Center After-School Programs with Regular Day Programs and Community Partners.
The report expanded knowledge of MBTPS1-related disorders by identifying new symptoms.