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.
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research Integrating Biomarkers from Correlation Analysis and Metric Learning for Hair Loss Classification
Combining biomarker analysis and advanced algorithms improves hair loss detection accuracy.
research Non-invasive Approaches for the Diagnosis of Autoimmune/Autoinflammatory Skin Diseases—A Focus on Psoriasis and Lupus erythematosus
Non-invasive methods show promise for diagnosing skin diseases like psoriasis and lupus but need more research for regular use.
research Skin deep: dermatologic challenges in PCOS through the female lifespan
Early identification and personalized treatment of skin issues in PCOS are crucial for better outcomes.
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 1616 Cross-comparison of inflammatory skin disease transcriptomics identifies PTEN as a pathogenic disease classifier in cutaneous lupus erythematosus
PTEN was identified as a specific marker for the skin disease cutaneous lupus erythematosus, and it helps increase the expression of harmful type I interferons.
research Use of Single‐Cell Data and scPagwas Analysis to Identify T Cell Subsets and Construct a Prognostic Model for Clear Cell Renal Cell Carcinoma
T cell subsets are crucial in kidney cancer, and a new model predicts patient outcomes using key genes.
research CD27 and IL-35 as diagnostic biomarkers in alopecia areata: First evidence of association with pathogenic scalp bacterial infections
CD27 and IL-35 can help diagnose alopecia areata linked to bacterial infections.
research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
research Improved Hidden Markov Algorithm Based on Bayes in Low Dose CT Images
The improved algorithm enhances low-dose CT image quality significantly better than other methods.
research Repurposing FDA approved drugs for psoriasis indications through integrated molecular docking, one-SVM algorithm, and molecular dynamics simulation approaches
Pioglitazone, Trimipramine, and Dimetindene may be repurposed to treat psoriasis.
research Identification of Biomarkers in Affected Hair Follicles from Chronic Discoid LupusErythematosus by Weighted Gene Co-Expression Network Analysis
Key genes linked to immune response are upregulated in hair follicles and skin tissues in chronic discoid lupus erythematosus.
research Identification of Biomarkers in Affected Hair Follicles from Chronic Discoid Lupus Erythematosus by Weighted Gene Co-Expression Network Analysis
Key genes linked to immune response are highly active in lupus-affected hair follicles.
research Comparative investigation of immune-related biomarkers related to alopecia areata subtypes
Alopecia areata is linked to immune system differences, with specific biomarkers like CXCL9 and CXCL10 being key for diagnosis and potential treatment targets.
research Low‐Level Light Therapy Downregulates Scalp Inflammatory Biomarkers in Men With Androgenetic Alopecia and Boosts Minoxidil 2% to Bring a Sustainable Hair Regrowth Activity
Light therapy reduces scalp inflammation, boosts hair regrowth with Minoxidil 2%.
research Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms
Researchers found four genes that could help diagnose severe alopecia areata early.
research Identification of SLC40A1, LCN2, CREB5, and SLC7A11 as ferroptosis-related biomarkers in alopecia areata through machine learning
Four genes are potential markers for hair loss condition alopecia areata, linked to a specific type of cell death.
research Metabolic syndrome and the skin: a more than superficial association. Reviewing the association between skin diseases and metabolic syndrome and a clinical decision algorithm for high risk patients
Some skin conditions may indicate metabolic syndrome, which could help with early detection and management of related health issues.
research PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research MicroRNA Species in Follicular Fluid Associating With Polycystic Ovary Syndrome and Related Intermediary Phenotypes
Certain microRNAs in the fluid around eggs are linked to Polycystic Ovary Syndrome and may help diagnose it.
research A systematic simulation-based meta-analytical framework for prediction of physiological biomarkers in alopecia
The study identified 12 potential biomarkers for hair loss and how they affect hair growth.
research Biomarker-based methods for determining noncompliance in a prevention trial
Simple methods using DHT levels effectively assess compliance.
research Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
Machine learning can help find new ways to treat alopecia areata.
research Long-lived proteins and DNA as candidate predictive biomarkers for tissue associated diseases
Long-lived proteins may predict age-related diseases.
research Human Hair as a Testing Substrate in the Era of Precision Medicine: Potential Role of ‘Omics-Based Approaches
Human hair shows promise for non-invasive medical testing, but more research is needed to standardize its use.
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 A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
research Comparative Characterization of Human Meibomian Glands, Free Sebaceous Glands, and Hair-Associated Sebaceous Glands Based on Biomarkers, Analysis of Secretion Composition, and Gland Morphology
Meibomian glands are highly specialized and differ significantly from other sebaceous glands in structure and function.
research Proteins observed in scalp hair from preschool children
Mothers have more hair proteins than their children, with age-related differences in protein patterns, and some proteins in hair could indicate early childhood development.
research Unmet Medical Needs in Chronic, Non-communicable Inflammatory Skin Diseases
There are still challenges in diagnosing and treating chronic skin diseases, but there is hope for future improvements.