research Human Macrophages Preferentially Infiltrate the Superficial Adipose Tissue
Human body's immune cells are more common in the layer of fat just beneath the skin than in deeper fat layers.
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research Engineering immune-competent hair follicle microphysiological systems: from organoid assembly to dynamic immune modelling
Hair follicle systems are being engineered to better mimic natural hair follicles for studying hair disorders and testing treatments.
research Keratinocytes and Adipose-derived mesenchymal stem cells : The heir and the spare to regenerative cellular therapies for difficult-to-heal skin wounds
Keratinocytes and adipose-derived stem cells can effectively heal difficult skin wounds.
research A Guide to Studying Human Hair Follicle Cycling In Vivo
The document provides a method to classify human hair growth stages using a model with human scalp on mice, aiming to standardize hair research.
research Female sexuality and common sexual dysfunctions: evaluation and management in a primary care setting
Primary care doctors should address female sexual dysfunctions to improve women's sexual health and life quality.
research Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
research Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
Machine learning is effective in predicting gene functions and their relationships with diseases.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study
Afatinib, neratinib, and zanubrutinib could be effective against KRASG12C-mutant tumors.
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 Advancements in Therapeutic Deep Eutectic Solvents as Multifunctional Transdermal Delivery Systems
TheDES improve drug delivery through the skin but need more safety checks.
research Bioengineered Skin Intended as In Vitro Model for Pharmacosmetics, Skin Disease Study and Environmental Skin Impact Analysis
Bioengineered skin models help reduce animal testing and advance research in cosmetics and skin disease.
research Research Progress on Construction Technology of 3D Human Skin Models and Its Application Prospects in Dermatology
3D human skin models show promise for dermatology but face challenges in standardization and cost.
research Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study
The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
research Beauty is skin deep: the fascinating biology of the epidermis and its appendages.
The biology of skin and hair is complex and not fully understood.
research Sex Differences in Animal Models of Sodium-Valproate-Induced Autism in Postnatal BALB/c Mice: Whole-Brain Histoarchitecture and 5-HT2A Receptor Biomarker Evidence
Male mice are more susceptible to autism-like changes from valproic acid than female mice.
research Hair Follicles as a Critical Model for Monitoring the Circadian Clock
Hair follicles could be used to noninvasively monitor our body's internal clock and help identify risks for related diseases.
research Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
The LTF gene may help predict and manage nonspecific orbital inflammation.
research THE POTENTIAL OF AI TO ENHANCE MEDICAL EDUCATION: OPPORTUNITIES, CHALLENGES, AND ETHICAL CONSIDERATIONS
AI can greatly improve medical education by personalizing learning and enhancing skills, but challenges like cost, training, and ethics need addressing.
research Neonatal finasteride induces anxiogenic-like profile and deteriorates passive avoidance in adulthood after intrahippocampal neurosteroid administration
Finasteride given to baby rats causes anxiety-like behavior and worsens learning from punishment in adult rats.
research In vitro strategies for mimicking dynamic cell–ECM reciprocity in 3D culture models
The conclusion is that accurately replicating the complexity of the extracellular matrix in the lab is crucial for creating realistic human tissue models.
research Innovative approaches to baldness detection and management with artificial intelligence and machine learning
research Sulforaphane-Rich Broccoli Sprout Extract Promotes Hair Regrowth in an Androgenetic Alopecia Mouse Model via Enhanced Dihydrotestosterone Metabolism
Broccoli sprout extract may help regrow hair by improving hormone metabolism.
research Whole Neonatal Cochlear Explants as an In vitro Model
The new method makes it easier to study the whole cochlea from newborn mice and rats in the lab.
research Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.
research COVID-19 lockdown and beyond: Home practice solutions for developing microsurgical skills.
Home practice solutions using simple materials can help maintain microsurgical skills during lockdowns.
research Artificial Intelligence-Based Personalization of Treatment Regimen for Hair Loss: A 6-Month Clinical Trial.
AI-personalized hair loss treatments improved hair growth and scalp health without side effects.
research Regenerative Strategies for Androgenetic Alopecia: Evidence, Mechanisms, and Translational Pathways
New regenerative treatments show promise in improving hair growth for androgenetic alopecia.