research Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.
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research Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
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 Intranasal sensitization model of alopecia areata using pertussis toxin as adjuvant
Pertussis toxin may contribute to hair loss in alopecia areata.
research Prediction of male-pattern baldness from genotypes
Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
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 Genetic Prediction of Male Pattern Baldness
Genetic factors can predict male pattern baldness risk.
research Gene trajectory inference for single-cell data by optimal transport metrics
research 원저 : 모반세포 모반과 악성흑색종의 감별진단에 있어서 Peanut Agglutinin의 의의
Peanut agglutinin staining helps differentiate malignant melanoma from nevocellular nevus.
research Evaluation of the Effect of NT-3 and Biodegradable Poly-l-lactic Acid Nanofiber Scaffolds on Differentiation of Rat Hair Follicle Stem Cells into Neural Cells In Vitro
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
research Neural Potential of a Stem Cell Population in the Hair Follicle
Stem cells in hair follicles can become various cell types, including neurons.
research Multimodal imaging of hair follicle bulge-derived stem cells in a mouse model of traumatic brain injury
Hair follicle stem cells might help treat traumatic brain injury.
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 Uncomplicated differentiation of stem cells into bipolar neurons and myelinating glia
Hair follicles can be used to easily create neurons and glial cells for potential nerve repair.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
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 [Transplanted epidermal neural crest stem cell in a peripheral nerve gap].
Epidermal neural crest stem cells from hair follicles can help repair nerve injuries.
research The prediction of hairfall pattern in a person using artificial intelligence for better care and treatment
AI can predict hair loss patterns to improve care and treatment.
research Poster Abstracts
The model and estimator can predict drug exposure in kidney transplant patients well.
research The in vitro plasticity of hair follicle dermal and mesenchymal stem cells
Hair follicle stem cells are similar to mesenchymal stem cells and can become neural-like cells under certain conditions.
research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks
research DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
Machine learning and deep learning can effectively diagnose alopecia areata.
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 Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research The Follicle Inference Engine (FIE): A stochastic digital twin and optimal experimental design framework for androgenetic alopecia
research CSI on steroids
Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.
research An Expert System for Clinical Risk Assessment of Polycystic Ovary Syndrome under Uncertainty
The document concludes that the new expert system can assess the risk of PCOS effectively despite uncertainties in diagnosis.