research Isolation of epithelial stem cells from dermis by a three-dimensional culture system
Researchers isolated a new type of stem cell from mouse skin that can renew itself and turn into multiple cell types.
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research Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.
research GBP1 as a machine learning-prioritized biomarker and therapeutic target for epstein-barr virus-induced clear cell renal cell carcinoma: multi-omics causal validation
GBP1 is a key target for treating Epstein-Barr virus-related kidney cancer, and finasteride may help.
research 54553 Diversity in dermatology datasets: what next?
Dermatology datasets need more diversity in skin tones and ethnic representation.
research Modelling of the composition of emulsion medicines and cosmetics stabilized by a biocomplex of surfactant substances based on rhamnolipids Pseudomonas sp. PS-17
A semi-automated system can effectively help choose emulsion ingredients, simplifying the creation of medicinal and cosmetic products.
research Association of atopic dermatitis with autoimmune diseases: A bidirectional and multivariable two-sample mendelian randomization study
Atopic dermatitis increases the risk of some autoimmune diseases.
research PolyQ length co-evolution in neural proteins
PolyQ repeats in neural proteins evolve together, affecting brain function and disease.
research Development of Pneumatic Dual-Cell Stacking Implanter
The new device can implant cell mixtures more effectively for hair loss treatment and is easier for operators to use.
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 Developing Patient-Derived 3D-Bioprinting models of pancreatic cancer
3D-bioprinting models of pancreatic cancer could help personalize treatments but need more testing.
research Pendekatan Diagnosis Ensefalomielitis Diseminata Akut
ADEM is a sudden brain disorder often following infection or vaccination, diagnosed by ruling out other conditions.
research Uniform boundedness and asymptotic behavior of solutions in a chemotaxis model for alopecia areata
research Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
Machine learning can effectively identify genes to improve wool quality in sheep.
research Future Directions: Gene Polymorphism Diagnostics Relevant to Hair
research Precision and Personalized Medicine in Transdermal Drug Delivery Systems: Integrating AI Approaches
AI-enhanced smart patches can personalize drug delivery for better treatment outcomes.
research Predicting Human Appearance from DNA for Forensic Investigations
DNA can predict physical traits like eye and hair color accurately, especially in Europeans, but predicting other traits and in diverse populations needs more research.
research QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
The QuantAnts machines can find cancer markers and create CRISPR targets for them.
research Re-identification of anonymised MRI head images with publicly available software: investigation of the current risk to patient privacy
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can distort our understanding of COVID-19 risk and severity.
research Void Volume Fraction of Granular Scaffolds
VVF alone can't fully describe porosity in granular scaffolds.
research Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
research Three-row stereocilia model predicts mammalian hair bundle behavior
The model explains how mammal ear hair cells respond to sound and adapt.
research LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
Inflammatory diets may increase the risk and severity of alopecia areata.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT helps understand single-cell gene expression better than current methods.
research RESEARCHComparing Strategies for Identifying Falls in Older Adult Emergency Department Visits Using EHR Data
Natural language processing is the most accurate method for identifying falls in older adults in emergency departments.
research 555 Dermal single-cell atlas: a novel tool to explore fibroblast heterogeneity
A new tool helps study hair follicle cells to develop better treatments for hair disorders.
research Artificial Intelligence in Hair Disorders: A Narrative Review
AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
research Adaptive 3D Self‐Assembly of Colorectal Cancer Cells With Unchanged Tumor Phenotype and Drug Sensitivity
Colorectal cancer cells can adapt without losing their traits or drug sensitivity.
research 3D-printed porous functional composite scaffolds with polydopamine decoration for bone regeneration
The scaffold with polydopamine and bioactive glass effectively promotes bone regeneration.
research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.