research 20-30대 성인에게서 안드로겐성 탈모증과 자율신경계 활성도 변화간의 연관성
People with androgenetic alopecia have an imbalance in their autonomic nervous system activity.
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research Relation of 24-Hour Urinary Aldosterone Levels with Nondipper Blood Pressure Pattern in Normotensive Individuals
Higher aldosterone levels in urine are linked to a nondipper blood pressure pattern in healthy people.
research Evaluation of Coronary Sinus Strain in Patients with Dipper and Non-Dipper Hypertension
People with non-dipper hypertension have higher aldosterone levels, more strain on their heart's venous system, and increased risk of endothelial dysfunction.
research Effect of Diurnal Blood Pressure on Endothelial Functions in Essential Hypertensive Patients
Blood pressure that doesn't drop at night is linked to worse blood vessel function in people with high blood pressure.
research Altered autonomic neural control of the cardiovascular system in patients with polycystic ovary syndrome
People with polycystic ovary syndrome may have a higher risk of heart problems due to abnormal nervous system control of their heart and blood pressure.
research Role of Autonomic Dysfunction and Relation with Diastolic Dysfunction in Resistant Hypertensives
Autonomic dysfunction is common in hypertensives but may not cause diastolic dysfunction in resistant hypertension.
research French administrative health care database (SNDS): The value of its enrichment
Enriching the French health care database with external data greatly improved its usefulness.
research MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
MSF-VMDNet accurately segments skin cancer images better than existing methods.
research Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text
The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
research Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
A deep learning method can detect nutritional deficiencies from hair and nail images with 89% accuracy.
research DecisionDx‐Melanoma and Sentinel Lymph Node Biopsy
research DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
research Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Discrimination of Dysplastic Nevi from Common Melanocytic Nevi by Cellular and Molecular Criteria
Dysplastic nevi have unique gene expressions, making them distinct from common melanocytic nevi.
research 267 Single- and multiple-ascending dose studies of DS-2325a, a KLK5 inhibitor for the treatment of Netherton syndrome
DS-2325a is safe and well-tolerated, supporting further development for Netherton Syndrome treatment.
research HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
research An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
The new method improves facial image restoration quality and face recognition accuracy.
research In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks
research Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
The new AI system improves remote skin condition diagnosis and access to care.
research Deep Learning-based Automatic System for Diagnosis and Classification of Skin Dermatoses
The document concludes that an automatic system using deep learning can help diagnose skin disorders, but challenges and opportunities in this area remain.
research LB1007 Systemic treatment with a KLK5 inhibitor shows efficacy in a murine model of Netherton syndrome
A KLK5 inhibitor effectively improved skin symptoms in a mouse model of Netherton Syndrome.
research A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
research Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
research Polydeoxyribonucleotide (PDRN) salmon sebagai agen anti penuaan
PDRN from salmon may slow skin aging by improving skin quality and reducing inflammation.
research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
research Supplementary Material for: Case report - Hair shaft normalization and hair growth in SPINK5-syndromic epidermal differentiation disorder (Netherton syndrome) while on treatment with dupilumab: a novel therapeutic approach for Trichorrhexis invaginata
Dupilumab improved hair and skin in a woman with Netherton syndrome.
research Supplementary Material for: Case report - Hair shaft normalization and hair growth in SPINK5-syndromic epidermal differentiation disorder (Netherton syndrome) while on treatment with dupilumab: a novel therapeutic approach for Trichorrhexis invaginata
Dupilumab improved hair and skin in a woman with Netherton syndrome.
research Polydeoxyribonucleotide as a Regenerative Agent in Dermatology and Wound Healing: Mechanisms, Clinical Applications, and Safety
PDRN is effective and safe for healing wounds and skin issues.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.