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The model and estimator can predict drug exposure in kidney transplant patients well.
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120-150 / 1000+ results 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 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 Uncertainty and Sensitivity Analysis of Hair Growth Duration in Human Scalp Follicles Under Normal and Alopecic Conditions
AGA causes more uncertainty in hair growth duration, while AA leads to a shorter, predictable growth phase.
research A texture-driven model for male baldness
The document concludes that the new model realistically simulates male baldness and could be useful for medical purposes and entertainment.
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 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 An appraisal of laboratory models of androgenetic alopecia: A systematic review
Better hair loss models needed for research.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
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 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 Pharmacodynamic modeling of finasteride, a 5 alpha-reductase inhibitor.
Finasteride, a drug that changes testosterone to a different hormone, was studied and its effects over time were modeled successfully.
research ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTION OF COVID-19 MORTALITY AND ITS RELATED FACTORS: A MULTI-CENTER STUDY
AI can effectively predict COVID-19 mortality risk using patient data.
research Medical Reasoning with Large Language Models: A Survey and MR-Bench
Large language models struggle with accurate clinical decision-making compared to real-world needs.
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 Integument pattern formation involves genetic and epigenetic controls: feather arrays simulated by digital hormone models.
Feather patterns form through genetic and epigenetic controls, with cells self-organizing into periodic 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 A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
Machine learning can accurately predict mental disorders.
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 The inheritance of common baldness: Two B or not two B ?
Common baldness is likely inherited through multiple genes, not just one.
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 A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
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.
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 Uniform boundedness and asymptotic behavior of solutions in a chemotaxis model for alopecia areata
research Discriminative models of the possibility of occurrence and features of the course of alopecia areata in Ukrainian men depending on the features of body structure and size indicators
Body structure can help identify alopecia areata in Ukrainian men, but not predict its course.
research Explaining and predicting the single channel versus multi-channel consumer: the case of an embarrassing product
The Theory of Planned Behaviour predicts consumer behavior better when emotions, personality, demographics, and marketing are included.
research Modeling using discriminant analysis of the possibility of occurrence and features of the course of various forms of urticaria in ukrainian women depending on the features of anthropo-somatotypological indicators
The models accurately predicted urticaria in Ukrainian women but struggled to differentiate between mild and severe cases based on body structure.
research Molecular insights into chronotype and time-of-day effects on decision-making
People's decision-making can be influenced by their internal biological clocks, as shown by gene expression, not just self-reported preferences for morning or evening.
research The evolutionary impact of androgen levels on prostate cancer in a multi-scale mathematical model
Low androgen levels might delay prostate cancer but could lead to more aggressive, therapy-resistant cancers.