research Exploring the Association Between Multidimensional Dietary Patterns and Non-Scarring Hair Loss Using Mendelian Randomization
Eating more antioxidant-rich foods and less alcohol may help reduce hair loss.
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research Loose Anagen Hair Associated with Wooly Hair Caused by a Heterozygous, Intronic KRT71 Variant
A genetic variant in the KRT71 gene may cause loose anagen hair and wooly hair, and symptoms might improve with age.
research MitoQ enhances CYP19A1 expression to stimulate WNT/β-catenin signaling pathway for promoting hair growth in androgenetic alopecia
MitoQ may help treat hair loss by boosting hair growth pathways.
research The Genomic Variation in Textured Hair: Implications in Developing a Holistic Hair Care Routine
Afro-textured hair needs personalized care due to its unique genetic traits.
research mRNA Levels of Aromatase, 5α-Reductase Isozymes, and Prostate Cancer-Related Genes in Plucked Hair from Young Men with Androgenic Alopecia
Men with early balding showed higher levels of certain genes linked to hair loss and possibly prostate cancer.
research A probabilistic Boolean model on hair follicle cell fate regulation by TGF-β
TGF-β and TNF influence hair follicle cell fate, with TNF being more effective in triggering cell death.
research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.
research Abstract: Facial Feminization Surgery: Effectiveness, Optimization of the Process and Complications
Facial Feminization Surgery is effective and safe, with minimal complications.
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 De Novo design of a potent Wnt Surrogate specific for the frizzled7 subtype members
A new Wnt surrogate specifically targets the Frizzled7 receptor, promoting organoid formation and hair growth.
research A New Universal Follicular Unit Excision Classification System for Hair Transplantation Difficulty and Patient Outcome
The new SFS Scale predicts hair transplant difficulty using hair and skin types, with thick skin and coily hair being hardest to work with.
research Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
research Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
research 42063 Image Quality Assessment using Convolutional Neural Network in Clinical Skin Images
The model can effectively identify good quality skin images but needs more testing for real-world use.
research Polymorphisms and association of FAT1 gene with wool quality traits in Chinese Merino sheep
The FAT1 gene and its variations can help improve wool quality in Chinese Merino sheep through selective breeding.
research Skin Transcriptome Analysis Identifies the Key Genes Underlying Fur Development in Chinese Tan Sheep in the Birth and Er-mao Periods
The FOS gene helps hair growth in Tan sheep.
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 HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species
Machine learning can accurately tell apart False Daisy and Smooth Joy Weed.
research 43687 Fitzpatrick Skin Phototypes: More than Just Skin Deep
Patients often overestimate their skin type, affecting sun protection and treatment plans.
research Flammulina velutipes polysaccharide boosts the anti-tumor immunity by reversing M1/M2 polarization through TLR4/NF-κB activation
Flammulina velutipes polysaccharide helps the immune system fight tumors by activating certain pathways.
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 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 Bayesian measurement-error-driven hidden Markov regression model for calibrating the effect of covariates on multistate outcomes: Application to androgenetic alopecia
Model improves accuracy in predicting hair loss effects.
research Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
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 Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT ( GATEWAYS ) Scoring of Alopecia Areata
Generative AI tools can accurately score alopecia areata, reducing subjectivity in evaluations.
research A Critical Evaluation of Evaluations for Long-form Question Answering
Current methods can't accurately predict which long-form answers people prefer; evaluations should consider different answer qualities separately.
research Enhancing Low-Light Sports Motion Images with Improved Bilateral Filtering and Auto MSRCR
The method greatly improves low-light sports images' quality and reduces artifacts.
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.