research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
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420-450 / 1000+ results research A general mathematical model for the in vitro assembly dynamics of intermediate filament proteins
The model shows that filament flexibility and amino acid differences affect how fast intermediate filament proteins assemble.
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 Identification of Hypoxia and Mitochondrial-related Gene Signature and Prediction of Prognostic Model in Lung Adenocarcinoma
A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.
research Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset
Google Search ads effectively gathered a diverse dermatology image dataset for research and AI development.
research Automated quantitative analysis of coat and skin coloration in laboratory animals
A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
research Prediction of male-pattern baldness from genotypes
Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
research Dynamic spatiotemporal coordination of neural stem cell fate decisions through local feedback in the adult vertebrate brain
Neural stem cells use local feedback to maintain balance in the adult brain.
research Modeling the dynamics of human hair cycles by a follicular automaton
The model successfully simulates human hair growth and patterns, including hair loss types.
research A flexible fixed-sequence testing method for hierarchically ordered correlated multiple endpoints in clinical trials
The flexible fixed-sequence testing method allows for more effective evaluation of multiple goals in a clinical trial while controlling the risk of false positives.
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 Evaluation of loci to predict ear morphology using two SNaPshot assays
Genetic markers can help predict ear shapes for forensic use.
research Synergistic effect of carbodiimide and dehydrothermal crosslinking on acellular dermal matrix
Combining DHT and EDC improves the strength and stability of PADM scaffolds for tissue engineering.
research DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data
DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
research 837 Micro-regional transcriptome reveals local dermal-epidermal intercorrelation in atopic dermatitis
Atopic dermatitis shows a link between skin layers in inflammation, detectable with detailed gene analysis.
research Lentiviral Arrays for Live-cell Dynamic Monitoring of Gene and Pathway Activity During Stem Cell Differentiation
The lentiviral array can monitor and predict gene activity during stem cell differentiation.
research Causal associations between plasma proteins and prostate cancer: a Proteome-Wide Mendelian Randomization
Certain plasma proteins are linked to prostate cancer risk and could help in early detection and treatment.
research Intranasal sensitization model of alopecia areata using pertussis toxin as adjuvant
Pertussis toxin may contribute to hair loss in alopecia areata.
research rPanglaoDB: an R package to download and merge labeled single-cell RNA-seq data from the PanglaoDB database
rPanglaoDB helps study rare cell types by merging RNA data, showing fibrocytes aid in healing.
research Great Expectations: Induced pluripotent stem cell technologies in neurodevelopmental impairments
iPSCs help understand and treat neurodevelopmental disorders.
research Large-Scale Epitope Identification Screen and Its Potential Application to the Study of Alopecia Areata
The conclusion is that a new method could improve the identification of autoimmune targets in alopecia areata, despite some limitations.
research Exome-wide age-of-onset analysis reveals exonic variants in ERN1 and SPPL2C associated with Alzheimer’s disease
Researchers found two new genetic variants linked to Alzheimer's disease.
research Global behavior of solutions in a chemotaxis model for alopecia areata with signal-dependent sensitivity
Sparse hairless patches can develop and stabilize in alopecia areata under certain conditions.
research Data-driven strategies for drug repurposing: insights, recommendations, and case studies
Data-driven methods can effectively identify existing drugs for new uses, especially in cancer, infections, and respiratory diseases.
research 494 Epidermolysis bullosa pruriginosa, muscular dystrophy, and immune-mediated myasthenia gravis in a patient with homozygous nonsense PLEC mutation
A patient with a PLEC mutation has epidermolysis bullosa, muscular dystrophy, and myasthenia gravis, which improved with steroid treatment.
research Autonomous Robotic Surgery: Has the Future Arrived?
Autonomous robotic surgery is advancing but still requires human supervision for complex procedures.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research Long-lived proteins and DNA as candidate predictive biomarkers for tissue associated diseases
Long-lived proteins may predict age-related 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 Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.