research Wharton’s jelly-derived mesenchymal stem cells in the treatment of four patients with alopecia areata
Wharton's jelly-derived stem cells were safely used to treat four alopecia patients, resulting in hair regrowth in all of them.
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240-270 / 1000+ results research Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
Machine learning and single-cell analysis improve understanding and treatment of wound healing.
research MultiKano: an automatic cell type annotation tool for single-cell multi-omics data based on Kolmogorov–Arnold network and data augmentation
MultiKano accurately identifies cell types in complex data better than existing methods.
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 Genetic prediction of male pattern baldness based on large independent datasets
New models predict male pattern baldness better than old ones but still need improvement.
research A Study of Combined Genotype Effects of SHCBP1 on Wool Quality Traits in Chinese Merino
research Integration of Colorimetric Sensing Dyes and Multi‐Substrate Arrays for Food Quality and Safety Monitoring: Design, Optimization, and Analysis
Combining advanced sensors with portable devices could enhance on-site food safety monitoring.
research Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications
Ultrasound-based radiomics and radiogenomics can improve ovarian cancer diagnosis and treatment, but need better standardization and AI tools.
research Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management
Microbiome analysis, BEVs, and AI can improve PCOS diagnosis and treatment.
research Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
ATR-FTIR spectroscopy could help monitor alopecia areata treatment response non-invasively.
research A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
research Perspective Chapter: Repurposing Natural Products to Target COVID-19 – Molecular Targets and New Avenues for Drug Discovery
Natural products might help treat COVID-19, but current drugs like hydroxychloroquine haven't worked.
research Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
AI in hair and scalp analysis shows promise but lacks real-world clinical integration and validation.
research Nano-Enabled CRISPR-Cas Gene Editing for Cancer Therapeutics
Nanotechnology improves CRISPR-Cas9 delivery for cancer treatment, but challenges remain.
research Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
research Innovative approaches to baldness detection and management with artificial intelligence and machine learning
research Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
research Integrating proteomics revealed the key targets for molecular breeding of fine cashmere traits in cashmere goats
Key proteins affecting cashmere fiber quality were identified for better breeding.
research Unraveling Evolutionary Insights into AVT Peptide Conservation and Antimicrobial Motif Prediction Across Taxa
AVT is highly conserved and may have antimicrobial properties.
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 Prediction of cell states and key transcription factors of the human cornea through integrated single-cell omics analyses
A new tool accurately identifies human cornea cell states and key factors.
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 Strategies for Optimizing Acute Burn Wound Therapy: A Comprehensive Review
Advanced techniques and technologies can improve burn wound healing, but more research is needed.
research Precision Dermatology: A Review of Molecular Biomarkers and Personalized Therapies
Personalized medicine in dermatology uses molecular biomarkers to improve diagnosis and treatment but needs further advancements for practical use.
research In Silico Characterization and Analysis of Clinically Significant Variants of Lipase-H (LIPH Gene) Protein Associated with Hypotrichosis
Three specific mutations in the LIPH gene can cause hair loss by damaging the protein's structure and function.
research Mutamba fruits (Guazuma ulmifolia Lam.) - physical, physicochemical and antioxidant characterization
Mutamba fruits are rich in soluble solids, vitamin C, and minerals, making them good for food industry use.
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 0750 Proteomics and transcriptomics profiling define molecular subtypes of advanced cutaneous T cell lymphoma and prognostic biomarkers
Three molecular subtypes of advanced skin T-cell lymphoma were identified, with potential biomarkers for predicting treatment response and disease progression.
research Data from Synergistic Function of Smad4 and PTEN in Suppressing Forestomach Squamous Cell Carcinoma in the Mouse
Deleting Smad4 and PTEN genes in mice causes rapid, invasive stomach cancer.
research Venus trap in the mouse embryo reveals distinct molecular dynamics underlying specification of first embryonic lineages
Tmem50b and 2610305D13Rik genes play key roles in early mouse embryo development.