research Combination Therapies and the Theoretical Limits of Evidence-Based Medicine
The current system can't fully test all combination treatments, so alternative methods and regulatory flexibility are needed.
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research Combinatorial expression of cell cycle regulators is more suitable for immortalization than oncogenic methods in dermal papilla cells
Using a combination of specific cell cycle regulators is better for safely keeping hair root cells alive indefinitely compared to cancer-related methods.
research Common pathologic pathways: A single prescription dream?
The conclusion suggests that treatments targeting root causes of chronic diseases may be developed by focusing on gene expression and lifestyle factors.
research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research The G1/S transition in mammalian stem cells in vivo is autonomously regulated by cell size
Cell size controls when stem cells divide.
research A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index and Serum Androstenedione in Chinese Reproductive Aged Population: A Retrospective Cohort Study
A model using hormone levels, cycle length, and BMI can help identify PCOS in Chinese women but isn't for screening teens.
research Post-Exposure Syndromes as State-Space Trapping: A set-theoretic perspective on PSSD and the post-exposure family.
Post-Exposure Syndromes are persistent conditions caused by past exposures, needing unique interventions.
research Understanding hair disorders through artificial intelligence: DALLE's role in image creation
DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
research Alopecia Areata: Updates from the Mouse Perspective
Mouse models help understand alopecia areata and find treatments.
research 329 In vitro co-culture models of merkel cell-neurite complex in touch domes
The study concluded that the developed models are effective for studying hair growth mechanisms and testing new treatments.
research A powerful method for pleiotropic analysis under composite null hypothesis identifies novel shared loci between Type 2 Diabetes and Prostate Cancer
New method finds genetic links between Type 2 Diabetes and Prostate Cancer not seen before.
research Author response: A multi-scale model for hair follicles reveals heterogeneous domains driving rapid spatiotemporal hair growth patterning
Understanding hair follicle interactions can help treat male pattern baldness.
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 Clinically relevant skull models and optical measurement method to evaluate programmable hydrocephalus valve tool kit usability
Three skull models were found most useful for testing hydrocephalus valve programming.
research The remarkable legacy of the K6/ODC mouse: mechanisms of polyamine-promoted tumorigenesis revealed
Polyamines are crucial for skin tumor development, and inhibiting them can prevent tumors.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research RETRACTION: Causal Effects of Genetically Determined Metabolites on Androgenetic Alopecia: A Two‐Sample Mendelian Randomization Analysis
research Analysis of the human diseasome using phenotype similarity between common, genetic and infectious diseases
The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
research 644 Tumor cell adhesion as a risk factor for SLN metastasis and predictor of disease recurrence in primary cutaneous melanoma
Tumor cell adhesion is linked to higher risk of SLN metastasis and melanoma recurrence, and a model including these factors predicts these outcomes better than one with just clinical data.
research Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
A new method makes analyzing large datasets with rare events faster and more efficient.
research Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
Naive Bayes algorithm can help predict hair loss risk early.
research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
research Engineering Cell‐Derived Matrices: From 3D Models to Advanced Personalized Therapies
3D cell-derived matrices improve tissue regeneration and disease modeling.
research Module-based complexity formation: periodic patterning in feathers and hairs
The conclusion is that understanding how feathers and hairs pattern can help in developing hair regeneration treatments.
research Disease-related biomarkers as experimental endpoints in 3D skin culture models
research Kin‐cohort analysis of LRRK2‐G2019S penetrance in Parkinson's disease
The LRRK2-G2019S mutation in Parkinson's disease has a lifetime penetrance of 25-35%, and finasteride may help reduce symptoms in adult male Tourette syndrome patients.
research Generation of iPS-derived model cells for analyses of hair shaft differentiation
Researchers created a mouse cell line to study hair growth and test hair growth drugs.
research Inherited Disorders of the Hair
The study concluded that genetic mutations affect human hair diseases and identified key genes and pathways involved in hair growth and cycling.
research Harmonic Vibrational Frequency Simulation of Pharmaceutical Molecules via a Novel Multi-Molecular Fragment Interception Method
The new method provides more accurate vibrational frequencies for drug molecules than traditional models.
research Thermodynamic Modeling of the Gas-Antisolvent (GAS) Process for Precipitation of Finasteride
The Gas-Antisolvent process can be effectively modeled and optimized to create Finasteride, a hair growth drug.