research Micropigmentation
Micropigmentation is a cosmetic tattooing technique for hiding skin issues and creating permanent makeup, but it can have side effects.
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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 Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research Restoration of skin pigmentation after deep partial or full-thickness burn injury
The review suggests that there are various treatments to help restore skin color after severe burns.
research A Unique Clinicopathological Manifestation of Fungal Infection: A Case Series of Deep Dermatophytosis in Immunosuppressed Patients
Early treatment of superficial fungal infections in immunocompromised patients is crucial.
research Follicular Isolation Technique with De-Epithelialization for Eyebrow and Eyelash Reconstruction
Adding de-epithelialization to the follicular isolation technique improves hair transplant results for eyebrows and eyelashes.
research Deep facial mycosis due to Trichophyton verrucosum—molecular genetic identification of the dermatophyte in paraffin‐embedded tissue—case report and review of the literature
An 80-year-old man's deep beard infection was cured with oral terbinafine after identifying the fungus Trichophyton verrucosum.
research FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
The model accurately detects alopecia areata with 84.3% accuracy.
research Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.
research A Population of Radio-Resistant Macrophages in the Deep Myenteric Plexus Contributes to Postoperative Ileus Via Toll-Like Receptor 3 Signaling
Certain immune cells worsen post-surgery gut paralysis by activating a specific immune response.
research Deep skin fibroblast-mediated macrophage recruitment supports acute wound healing
Deep skin fibroblasts help recruit immune cells for better wound healing.
research Eyebrow Restoration in Deep Facial Burn: Follicular Unit Extraction Hair Transplantation after Nanofat Graft
Nanofat injections before hair transplantation improve eyebrow restoration in burn scars.
research Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata – a retrospective study
AI can accurately diagnose and assess alopecia areata using scalp images.
research Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
research Deep phenotyping of skin tissue remodeling in patients with systemic sclerosis treated with CD19-CAR T cells
The study investigates the effects of CD19-CAR T cell therapy on skin tissue remodeling in patients with systemic sclerosis (SSc), an autoimmune disease characterized by fibrotic changes. By analyzing skin biopsy samples from patients in the CASTLE study or named patient use, the research demonstrates structural regeneration of SSc skin, including recovery of skin papillae. Advanced analyses indicate a shift in fibroblast populations towards a more physiological state and signs of vascular repair and changes in epidermal cell function. These findings suggest that CD19-CAR T cell therapy, through B cell depletion, may promote skin tissue remodeling and holds potential for tissue regeneration in fibrotic diseases.
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 Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
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.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Deep learning effectively diagnoses scalp disorders, but improvements are needed.
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 Deep Plane Fixation in Integumental Surgery
Deep Plane Fixation in scalp surgeries allows for more tissue removal with less tension, leading to better healing and less scarring.
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 A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
research Ultrahigh-Power Sonicator Lysis Enables Deep Proteomic Profiling of Hair Shafts for Fetal Growth Restriction Biomarker Discovery
A new method improves protein extraction from hair, helping identify potential biomarkers for fetal growth issues.
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 Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
research Breaking the biofilm- A persistent case of deep pyoderma in a Bullykutta dog
The dog's skin infection was cured with a new antibiotic treatment and supplements.