research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
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research Genetic correlation analysis does not associate male pattern baldness with COVID-19
There's no significant genetic link between male pattern baldness and COVID-19.
research Optimization of finasteride nano-emulsion preparation by using chemometrics approaches (and/or Box-Behnken design and regresion model)
research A computational approach to mechanistic and predictive toxicology of pesticides
Pesticides can cause reproductive and adrenal health issues.
research Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study (Preprint)
Social media data can help track and predict COVID-19 symptoms and trends.
research Biodegradation of Marine Pollutants by Microorganisms: A Bibliometric Analysis
Interest in using microorganisms to reduce ocean pollution is growing.
research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
research The pathogenesis model research of alopecia areata: from animal experiments to mathematical prediction models
Animal and mathematical models help understand and develop treatments for alopecia areata.
research 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
research ISHRS Best Practices Survey Project MODULE: Anesthesia and Emergency SUMMARY ANALYSIS
research In-silico cardiac aging regulatory model including microRNA post-transcriptional regulation
Researchers created a model to understand heart aging, highlighting the role of microRNAs and identifying key genes and pathways involved.
research Candidate SNP markers of reproductive potential are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters
Certain genetic markers linked to reproductive potential were identified by their impact on a protein's ability to bind to genes.
research HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
research Correlation between serum brain-derived neurotrophic factor level and depression severity in alopecia areata patients
Lower BDNF levels link to worse depression in alopecia areata patients.
research Exploring the combination and modular characteristics of herbs for alopecia treatment in traditional Chinese medicine: an association rule mining and network analysis study
Certain herbal combinations in traditional Chinese medicine might be effective for treating hair loss, focusing on liver or stomach health.
research Development of search strategies for systematic reviews: validation showed the noninferiority of the objective approach
The objective approach for creating search strategies is as effective as the traditional method and might be better and more efficient.
research Uniform boundedness and asymptotic behavior of solutions in a chemotaxis model for alopecia areata
research Editorial for issue 3 of 2012, Journal of Evidence Based Medicine
The issue discussed China's research contributions, systematic review improvements, and featured various medical studies and trials.
research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
research Association study reveals a susceptibility locus with male pattern baldness in the Han Chinese population
A specific genetic marker is linked to male pattern baldness in Han Chinese men.
research Association between androgenetic alopecia and risk of cardiovascular events in young males: a systematic review and meta-analysis
research Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
research 83 Transcriptomic meta-analysis and deconvolution approaches unveil cellular dynamics in scarring and non-scarring primary lymphocytic alopecias
research Faculty Opinions recommendation of Adverse Event Reporting in Clinical Trials of Finasteride for Androgenic Alopecia: A Meta-analysis.
The safety of the hair loss drug finasteride is unclear due to inadequate reporting in clinical trials.
research Faculty Opinions recommendation of Investigation of four novel male androgenetic alopecia susceptibility loci: no association with female pattern hair loss.
The research found that certain genes are linked to male pattern baldness, but these same genes do not affect female pattern hair loss.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research Image3_Neuropsychiatric Adverse Events of Montelukast: An Analysis of Real-World Datasets and drug−gene Interaction Network.TIFF
Montelukast is linked to increased risks of suicidal thoughts and depression.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research Pharmacophore Models for Toxicology Prediction
Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.