research Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
The model accurately identifies hair diseases using deep learning.
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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 Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
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 AIMP1-Derived Peptide Secreted from Hair Follicle Stem Cells Promotes Hair Growth by Activating Dermal Papilla Cells
A peptide from hair follicle stem cells can boost hair growth.
research Quantification of Riboflavin and Thiamine in GI (Geographical Indication) Branded Yogurts Collected from Bogura, Bangladesh Using HPLC Equipped with a Fluorescence Detector
The conclusion is that the tested yogurts from Bangladesh are rich in vitamins thiamine and riboflavin, and the testing method is reliable.
research Generative adversarial networks for anonymous acneic face dataset generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
research PKC downregulation upon rapamycin treatment attenuates mitochondrial disease
Rapamycin treatment helps with mitochondrial disease by reducing PKC levels.
research How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
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 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 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 NLKFill: high-resolution image inpainting with a novel large kernel attention
NLKFill improves high-resolution image inpainting by effectively capturing image details and enhancing speed.
research 448 Challenges of securing insurance approval for oral tofacitinib treatment of alopecia areata: A multi-institutional retrospective review
Getting insurance to cover the hair loss treatment tofacitinib is hard because it's not officially approved for that use.
research Trilostane treatment of 78 dogs with pituitary‐dependent hyperadrenocorticism
Trilostane effectively improved symptoms in dogs with a certain adrenal gland disorder.
research Nanozymes expanding the boundaries of biocatalysis
Nanozymes greatly improve biocatalysis by being stable, efficient, and versatile.
research Preclinical and Clinical Studies Demonstrate That the Proprietary Herbal Extract DA-5512 Effectively Stimulates Hair Growth and Promotes Hair Health
DA-5512 effectively improves hair growth and health, performing better than minoxidil.
research Assessment of the Ability of the ChatGPT-5 Model to Pass the Endocrinology Specialization Exam
ChatGPT-5 can pass the endocrinology exam but isn't fully reliable for clinical decisions yet.
research Nanotechnological reprogramming of the pathological skin microenvironment in scar formation and atopic dermatitis
Nanotechnology could improve treatment for scars and atopic dermatitis by targeting skin issues more effectively.
research Genome-wide detection and sequence conservation analysis of long non-coding RNA during hair follicle cycle of yak
Researchers found that certain RNA sequences play a role in yak hair growth and these sequences are somewhat similar to those in cashmere goats.
research Needle Transportable Semi-Automatic Hair Follicle Implanter and Image-Based Hair Density Estimation for Advanced Hair Transplantation Surgery
A new semi-automatic hair implanter could make hair transplants easier, more successful, and more accessible.
research Dynamic remodeling of skin microbiota during healthy homeostatic and wound repair conditions
Skin bacteria help heal wounds and restore healthy skin.
research A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet
A web platform was created to help diagnose scalp conditions accurately and easily.
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 Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
research Type XVII collagen coordinates proliferation in the interfollicular epidermis
Type XVII collagen helps control skin cell growth and could be a target for anti-aging treatments.
research Rare and common genetic determinants of metabolic individuality and their effects on human health
Genetic variations greatly affect individual metabolism and can impact health and disease risk.
research Genome-wide detection and sequence conservation analysis of long non-coding RNA during hair follicle cycle of yak
Long non-coding RNAs play a key role in yak hair growth cycles.
research Abstracts from the 55th European Society of Human Genetics (ESHG) Conference: e-Posters
Rare ULBP3 gene changes may raise the risk of Alopecia areata, a certain FAS gene deletion could cause a dysfunctional protein in an immune disorder, and having one copy of a specific genetic deletion is okay, but two copies cause sickle cell disease.