research Bayesian measurement-error-driven hidden Markov regression model for calibrating the effect of covariates on multistate outcomes: Application to androgenetic alopecia
Model improves accuracy in predicting hair loss effects.
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research Bayesian Hidden Markov Modelling of Blood Type Distribution for Covid-19 Cases Using Poisson Distribution
Blood type affects COVID-19 infection rates differently in Europe and Africa.
research A Hierarchical Bayesian Hidden Markov Model for Multi-Dimensional Discrete Data
Non-denatured soybean extracts are effective for skin care, offering skin lightening, anti-aging, and UV protection benefits.
research Testing the impact of trait prevalence priors in Bayesian-based genetic prediction modeling of human appearance traits
Using trait prevalence priors in genetic prediction models for appearance traits is currently impractical due to limited knowledge and potential accuracy issues.
research The comparative effectiveness of prescription and selected alternative therapies for pattern hair loss: protocol for a multiple treatment comparison meta-analysis
Prescription and alternative therapies for hair loss will be compared for effectiveness.
research AI06 ALUDWIG: an automated artificial intelligence-based assessment of female androgenic alopecia
ALUDWIG can help standardize female hair loss assessment from a single image.
research Foundations of Bayesian Networks
Bayesian networks are tools for modeling variables' probabilistic relationships, which can efficiently represent complex probabilities and help in making inferences.
research Poster Abstracts
The model and estimator can predict drug exposure in kidney transplant patients well.
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 A model for the turnover of dihydrotestosterone in the presence of the irreversible 5α-reductase inhibitors GI198745 and finasteride
Both drugs lower DHT levels, with GI198745 being more effective.
research Regenerative medicine meets mathematical modelling: developing symbiotic relationships
Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.
research A regulatory perspective on pharmacokinetic/pharmacodynamic modelling
The document concludes that PK/PD modeling is important for determining the safe and effective dosages of drugs.
research A computational modelling framework to quantify the effects of passaging cell lines
Cell characteristics change with passage numbers, affecting experiment results.
research “MATH+” Multi-Modal Hospital Treatment Protocol for COVID-19 Infection: Clinical and Scientific Rationale
The MATH+ protocol aims to improve COVID-19 outcomes using a combination of specific treatments.
research Virtual Bioequivalence Assessment of Ritlecitinib Capsules with Incorporation of Observed Clinical Variability Using a Physiologically Based Pharmacokinetic Model
50-mg ritlecitinib capsules are bioequivalent to 100-mg capsules.
research An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
The new method improves facial image restoration quality and face recognition accuracy.
research The Effect of Lavandula stoechas on Wound Healing in an Experimental Diabetes Model
Lavandula stoechas helps wounds heal faster in diabetic and non-diabetic rats.
research Are there temporal subtypes of premenstrual dysphoric disorder?: using group-based trajectory modeling to identify individual differences in symptom change
The study found three different timing patterns of symptoms in women with premenstrual dysphoric disorder.
research Forensic DNA Phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.
research Age-specific cut-off levels of anti-Müllerian hormone can be used as diagnostic markers for polycystic ovary syndrome
Different levels of anti-Müllerian hormone can help diagnose polycystic ovary syndrome in women of different ages.
research Efficacy comparison of monotherapies and combination therapies for androgenetic alopecia: A Bayesian networkmeta‐analysis
Combination therapies are more effective for treating androgenetic alopecia than single treatments.
research Mathematical Modeling and Inference of Epidermal Growth Factor-Induced Mitogen-Activated Protein Kinase Cell Signaling Pathways
Mathematical modeling helps understand and predict the MAPK cell signaling pathway.
research Multi-modal skin atlas identifies a multicellular immune-stromal community associated with disrupted cornification and specific T cell expansion in atopic dermatitis
A specific group of immune and skin cells may cause chronic inflammation in atopic dermatitis.
research Development of a Predictive Model for Iron Levels in Bovine Muscle Tissue Using Hair as a Predictor
Hair can accurately predict iron levels in cattle muscle, helping diagnose mineral imbalances.
research Evaluation of DNA Variants Associated with Androgenetic Alopecia and Their Potential to Predict Male Pattern Baldness
DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.
research Signalling by senescent melanocytes hyperactivates hair growth
Senescent melanocytes can boost hair growth by activating hair stem cells.
research Logic-based modeling and drug repurposing for the prediction of novel therapeutic targets and combination regimens against E2F1-driven melanoma progression
Tadalafil and Finasteride may help treat aggressive melanoma.
research Global Epidemiology of Telogen Effluvium after COVID-19 Pandemic: A Systematic Review and Modeling Study
Telogen effluvium increased globally after COVID-19, especially in Asian and Latin regions.
research A human prenatal skin cell atlas reveals immune cell regulation of skin morphogenesis
Immune cells are essential for early hair and skin development and healing.
research Scalp disease analysis using deep learning models
Deep learning models can analyze scalp diseases effectively.