research Developmental Mechanisms Controlling Cell Fate, Evolution of
The conclusion is that grasping how cells determine their roles through evolution is key, with expected progress from new research models and genome editing.
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150-180 / 1000+ results research Identification of Stress-Related Hair Loss and Prevention Through the Application of a KNN Model Based on Machine Learning
Machine learning can predict stress-related hair loss and suggest prevention tips.
research 5α-Reductase Inhibitors, Chemical and Clinical Models
Researchers developed a model to predict how well certain compounds can block an enzyme related to hair loss and prostate issues, suggesting a 50 mg dose of finasteride might be effective based on lab and body data.
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 Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
research Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity
Choosing the right model order in brain connectivity analysis can affect the detection of differences between healthy individuals and those with seasonal affective disorder.
research Mouse Hair Cycle Expression Dynamics Modeled as Coupled Mesenchymal and Epithelial Oscillators
The study concluded that hair growth in mice is regulated by a stable interaction between skin cell types, and disrupting this can cause hair loss.
research A use-and-transformation model for evaluating public R&D: Illustrations from polycystic ovarian syndrome (PCOS) research
The document suggests a new model for evaluating public research that better captures the full value of knowledge creation and use, using PCOS research as an example.
research Characterisation of Myotonic Dystrophy type I cell models and drug evaluation by a cell- based quantification platform.
Antisense oligonucleotides show promise for treating Myotonic Dystrophy type I.
research The role of translation in keratinocyte cell fate determination.
Translation levels actively determine keratinocyte cell fate.
research Modeling Dynamic Hair as a Continuum
The authors created a realistic and efficient method to simulate hair movement by combining fluid dynamics with individual hair strand behavior.
research Decision letter: Interplay of opposing fate choices stalls oncogenic growth in murine skin epithelium
Skin cells can naturally limit the growth of cancerous changes by balancing cell renewal and differentiation.
research Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.
research Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
research Rethinking the mechanics of hair growth: evidence for a pulling model
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research Complex genetic dependencies among growth and neurological phenotypes in healthy children: Towards deciphering developmental mechanisms
Genetic factors influence growth and brain development in children.
research Development and Qualification of a Physiologically Based Pharmacokinetic Model of Finasteride and Minoxidil Following Scalp Application
The model can help predict how finasteride and minoxidil work when applied to the scalp.
research Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.
research Global and exponential stabilization of a chemotactic alopecia areata model with signal-dependent diffusion and sensitivity
Reducing CD8+ T cell growth can stabilize alopecia areata.
research Analyses prospectives de mortalité : approches actuarielle et biomédicale
Biomedical innovations could extend human lifespan, but may impact pension systems.
research Modeling the pharmacodynamics of nandrolone doping drug and implications for anti‐doping testing
The document concludes that finasteride can reduce nandrolone detection in doping tests, suggesting frequent testing and setting metabolite level thresholds for detection.
research The cycling hair follicle as an ideal systems biology research model
The hair follicle is a great model for research to improve hair growth treatments.
research Biomechanics of hair fibre growth: A multi-scale modeling approach
The model shows that factors like follicle shape and stiffness are key for hair growth and anchoring.
research Genetic Prediction of Male Pattern Baldness
Genetic factors can predict male pattern baldness risk.
research Decision letter: Dynamics of nevus development implicate cell cooperation in the growth arrest of transformed melanocytes
Moles may stop growing due to cell cooperation, not just because of individual cell aging.
research Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.
research Confirmatory factor analysis of the causal illness attribution scale in Chinese patients with multiple somatic symptoms
The two-factor model fits better for Chinese patients' understanding of illness causes than the original four-factor model.
research QSAR Analysis of a Series of Hydantoin‐based Androgen Receptor Modulators and Corresponding Binding Affinities
Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.
research A Comprehensive Review of Alopecia Areata Detection Using Self-Supervised Auto ML Models: Systematic Insights and Emerging Challenges
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.