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- 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
- Integrating Biomarkers from Correlation Analysis and Metric Learning for Hair Loss Classification
- Non-invasive Approaches for the Diagnosis of Autoimmune/Autoinflammatory Skin Diseases—A Focus on Psoriasis and Lupus erythematosus
- Skin deep: dermatologic challenges in PCOS through the female lifespan
- QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
- 1616 Cross-comparison of inflammatory skin disease transcriptomics identifies PTEN as a pathogenic disease classifier in cutaneous lupus erythematosus
- Use of Single‐Cell Data and scPagwas Analysis to Identify T Cell Subsets and Construct a Prognostic Model for Clear Cell Renal Cell Carcinoma
- CD27 and IL-35 as diagnostic biomarkers in alopecia areata: First evidence of association with pathogenic scalp bacterial infections
- Repurposing FDA approved drugs for psoriasis indications through integrated molecular docking, one-SVM algorithm, and molecular dynamics simulation approaches
- A consensus-based treatment algorithm for alopecia areata in adolescents and adults: integrating severity, quality of life, and disease dynamics
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