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210-240 / 1000+ resultsresearch Intranasal sensitization model of alopecia areata using pertussis toxin as adjuvant
Pertussis toxin may contribute to hair loss 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 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.
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 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 원저 : 모반세포 모반과 악성흑색종의 감별진단에 있어서 Peanut Agglutinin의 의의
Peanut agglutinin staining helps differentiate malignant melanoma from nevocellular nevus.
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 PolyQ length co-evolution in neural proteins
PolyQ repeats in neural proteins evolve together, affecting brain function and disease.
research Combination of media, biomaterials and extracellular matrix proteins to enhance the differentiation of neural stem/precursor cells into neurons
Using certain small proteins with a growth factor and specific materials can increase the creation of neurons from stem cells.
research Genetic Prediction of Male Pattern Baldness
Genetic factors can predict male pattern baldness risk.
research Poster Abstracts
The model and estimator can predict drug exposure in kidney transplant patients well.
research Prediction of cell states and key transcription factors of the human cornea through integrated single-cell omics analyses
A new tool accurately identifies human cornea cell states and key factors.
research Uniform boundedness and asymptotic behavior of solutions in a chemotaxis model for alopecia areata
research JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
research Pluripotent Hair Follicle Neural Crest Stem-Cell-Derived Neurons and Schwann Cells Functionally Repair Sciatic Nerves in Rats
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 Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% 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 [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 Computing Your Ideal Haircut Routine
The ideal haircut routine can be determined using a model based on hair growth and regular haircuts.
research Differentiation of nestin-negative human hair follicle outer root sheath cells into neurons in vitro
Human hair follicle cells can be turned into neural stem cell-like cells, which might help treat brain diseases.
research 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
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 LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
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 A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
research 944 Non-coding double stranded RNA induces retinoic acid synthesis and retinoid signaling to control regeneration
Non-coding RNA boosts retinoic acid production and signaling, aiding regeneration.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.