research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
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research 574 Comparative analysis of quality of life impact in patients with autoimmune blistering disease
Patients with autoimmune blistering diseases experience a reduced quality of life, with the need for better measurement tools, especially for those with mucous membrane pemphigoid.
research Emerging smart microneedle technologies in psoriasis: convergence of nanocarriers, machine learning, and personalized delivery
Smart microneedles using advanced tech could improve psoriasis treatment.
research Transcriptomics analysis reveals molecular alterations underpinning spaceflight dermatology
Spaceflight can harm skin health by altering gene expression, affecting DNA, mitochondria, and skin barriers.
research Unraveling the Strand: A Comprehensive Review on the Forensic Significance of Microscopic Human Scalp Hair Analysis
Microscopic hair analysis is important in forensics but has limitations; new technologies are improving its accuracy.
research A comparative analysis of three explanatory models of mental disorder and a preferred focus of explanation
Steroid cell tumors in the ovary are rare, can produce testosterone causing symptoms, and are mainly treated with surgery.
research Analysis of androgen receptor expression and activity in the mouse brain
Androgen receptors in the mouse brain may explain cognitive and mood changes in prostate cancer treatment.
research Facial skin aging: an integrative analysis of genetics, epigenetics, and lifestyle factors
Genetics, epigenetics, and lifestyle all influence facial skin aging.
research Bone marrow-derived vasculogenesis leads to scarless regeneration in deep wounds with periosteal defects
Using gelatin sponges for deep skin wounds helps bone marrow cells repair tissue without scarring.
research Safety of Biological Therapies for Severe Asthma: An Analysis of Suspected Adverse Reactions Reported in the WHO Pharmacovigilance Database
Biologics for severe asthma have known side effects, but some new risks need more study.
research Spectrum and signals of medication-associated cognitive disorder: a comprehensive disproportionality analysis with cross-database validation
Many medications may be linked to cognitive disorders, but most lack warnings on labels.
research A Systematic Scoping Review and Conceptual Analysis of New-Onset Fibromyalgia Manifestations After Non-Hospitalized COVID-19: Empirics, Definitions, Methodologies, Pathophysiology, Mapping of Literature, and Knowledge Gaps
New-onset fibromyalgia after COVID-19 is poorly understood, needing better definitions and studies.
research PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models
PROMETHEUS helps organize and evaluate causal claims from large language models.
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 Anti-ageing effect of a lactococcal strain: analysis using senescence-accelerated mice
Lactococcus lactis strain H61 may reduce some ageing symptoms.
research Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models
Mitochondrial genes help predict breast cancer outcomes and spread.
research A multicenter evaluation of 10% sulfacetamide sodium in a 10% urea vehicle scalp treatment lotion and a 10% urea deep cleansing antibacterial shampoo for the treatment of seborrheic dermatitis of the scalp
The lotion and shampoo effectively treated scalp seborrheic dermatitis.
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.
research The Black identity, hair product use, and breast cancer scale
The BHBS is a valid tool to study cultural norms and breast cancer risk in Black women.
research Acromegaloid Facial Appearance: Case Report and Literature Review
The document concludes that AFA should be considered in patients with acromegaly-like features but normal hormone levels, and more cases need to be identified to understand the condition fully.
research Extracellular vesicles from 3D cultured dermal papilla cells improve wound healing via Krüppel-like factor 4/vascular endothelial growth factor A -driven angiogenesis
Tiny particles from 3D-grown skin cells speed up wound healing by promoting blood vessel growth.
research Effects of Solvent System and Storage Condition on Chemical Stability of 5(alpha)-Reductase Inhibitor Compounds in Tectona grandis L.f. Leaf Extracts
Store Tectona grandis leaf extracts in slightly acidic, light-protected conditions for best stability.
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 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 Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.
research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
The system can automatically identify different hair and scalp conditions using machine learning.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.