research The population dynamics of cancer: a Darwinian perspective
Cancer development is like natural selection, involving mutated cells and environmental factors.
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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 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 Turing patterns in development: what about the horse part?
Turing patterns are now recognized as important in developmental biology.
research Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
Random Forest Regression is best for predicting baldness risk.
research Simultaneous Target-Mediated Drug Disposition-Pharmacodynamic (TMDD-PD) Modeling of Finasteride and Dutasteride: Impact of Target Binding and Turnover on Non-linear Pharmacokinetics
Finasteride and dutasteride's effects are mainly due to target binding saturation and slow enzyme turnover.
research Differential expression of stem cell markers in human follicular bulge and interfollicular epidermal compartments
Different markers are found in stem cells of the scalp's hair follicle bulge and the surrounding skin.
research Temporary radiation-induced alopecia after embolization of a cerebral arteriovenous malformation
Temporary hair loss can occur after brain AVM treatment but usually regrows in 8 weeks.
research Relación entre los síntomas del tracto urinario bajo y las características anatómicas de la próstata en pacientes con obesidad y obesidad grave
Obesity is linked to more severe lower urinary tract symptoms.
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 A Temporal Mathematical Model of Alopecia Areata: Investigating Hair Cycle Dynamics and Disease Progression
The model helps understand alopecia areata and suggests ways to improve treatment by targeting immune issues.
research Modeling the dynamics of human hair cycles by a follicular automaton
The model accurately simulates human hair growth and hair loss patterns.
research ALOPECIA TEMPORÁRIA APÓS TRATAMENTO ENDOVASCULAR RELACIONADA A UMA MALFORMAÇÃO ARTERIOVENOSA EM FACE: RELATO DE CASO
Onyx® embolization effectively treats facial arteriovenous malformations with minimal complications.
research ANÁLISES COMPUTACIONAIS PREDITIVAS COMO UM NOVO BIOPODER: MODIFICAÇÕES DO TEMPO NA SOCIEDADE DOS SENSORES
Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.
research Poster Abstracts
The model and estimator can predict drug exposure in kidney transplant patients well.
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 Pharmacophore Models for Toxicology Prediction
Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
research Uniform boundedness and asymptotic behavior of solutions in a chemotaxis model for alopecia areata
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 A Simple Decision Tree Suited for Identification of Early Oral Drug Candidates With Likely Pharmacokinetic Nonlinearity by Intestinal CYP3A Saturation
The decision tree can predict drug absorption issues with good accuracy but needs more validation and adjustments for other factors.
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 Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research Poster 147 Determination of Individual in Vivo Hip Muscle Forces Using an EMG‐to‐Force Processing Model
The EMG-to-force model accurately predicts hip muscle forces during walking.
research An appraisal of laboratory models of androgenetic alopecia: A systematic review
Better hair loss models needed for research.
research Analysing the dynamics of a model for alopecia areata as an autoimmune disorder of hair follicle cycling
The model helps understand and improve treatments for alopecia areata by simulating hair growth and immune cell interactions.
research Mind the Gap: A Solution to the Robustness Problem of Turing Patterns Through Patterning Mode Isolation
Pattern mode isolation improves the reliability and predictability of Turing patterns.
research Modeling cell–cell communication for immune systems across space and time
The document concludes that computational models are useful for understanding immune responses and could improve cancer immunotherapy.
research Aligning Stem Cell Models and Postmortem Studies to Query Striatal Neurodevelopment in Schizophrenia
Schizophrenia risk genes may affect early brain development, contributing to the disease.
research Development of predictive regression model for perceived hair breakage in Indian consumers
The model predicts hair breakage based on key hair properties and helps product developers.
research A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
A new model uses specific blood markers to predict if children's hair loss will return.