research Past, Present and Future Perspectives of Forensic Genetics
Forensic genetics can now predict physical traits and lifestyle habits, with future advancements expected from new technologies.
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research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can distort our understanding of COVID-19 risk and severity.
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 Hair Loss Diagnosis Using Artificial Neural Networks
Neural networks can effectively predict hair loss.
research Alopecia Areata
The document concludes that ongoing research using animal models is crucial for better understanding and treating Alopecia Areata.
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 Forensic DNA Phenotyping: Male Pattern Baldness: Traditional Review
DNA markers can help predict male pattern baldness, useful in criminal and missing person cases.
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 Hair curvature: a natural dialectic and review
The document concludes that hair curvature can be explained by the growth patterns caused by the shape and separation of cells in the hair follicle and is affected by specific molecular pathways.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
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 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 Genetic correlation by pedigree analysis in patients diagnosed with PCOS as per Rotterdam’s criteria
PCOS is likely inherited in families, increasing risk for first-degree relatives.
research Polygenic risk score predicting susceptibility and outcome of benign prostatic hyperplasia in the Han Chinese
Polygenic risk scores can predict the risk and outcomes of benign prostatic hyperplasia.
research Models for Skin Cancer
Malignant melanoma is the deadliest skin cancer, while BCC is the most common but rarely spreads, and SCC is more aggressive than BCC.
research Evaluating anti-LGBTQIA+ medical bias in large language models
Large language models often give biased or inaccurate medical responses, especially for LGBTQIA+ prompts.
research Development of a Two-Dimensional Model for Predicting Transdermal Permeation with the Follicular Pathway: Demonstration with a Caffeine Study
Researchers developed a model that shows hair follicles increase skin absorption of caffeine by 20%.
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 Di-Genic Inheritance in Genodermatoses: Insights from Two Consanguineous Cases in a Reference Lebanese Center within the Middle East and North Africa (MENA) Region
A new genetic model may improve treatment and diagnosis for certain inherited skin diseases.
research A machine learning and network framework to discover new indications for small molecules
The model successfully predicted new uses for existing drugs, like using certain hormonal and heart medications for respiratory and Parkinson's diseases, and a cancer drug for diabetes.
research Making Waves with Hairs
Skin patterns are formed by simple reaction-diffusion mechanisms.
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 A Test of the Perseverative Cognition Hypothesis Using Hair Cortisol in a Sample of Dementia Caregivers and Non-Caregiver Controls
Caregivers had lower stress hormone levels than non-caregivers, suggesting caregiving stress affects the body differently.
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 Human melanocyte development and melanoma dedifferentiation at single cell resolution
Human melanocytes have unique traits that affect melanoma development and prognosis.
research Hair analysis based on medical history and spatial-temporal data
Machine learning can predict hair health accurately using personal data.
research Characterizing enteric neurons in dopamine transporter (DAT)‐Cre reporter mice reveals dopaminergic subtypes with dual‐transmitter content
Dopaminergic neurons in the gut have diverse subtypes with different neurotransmitter contents.
research Light scattering from human hair fibers
Researchers developed a new model for more realistic computer graphics rendering of hair by considering how light scatters on hair fibers.
research Open and Closed Structure
The 3D hair follicle model improves understanding of hair growth and drug testing.
research A computational approach to mechanistic and predictive toxicology of pesticides
Pesticides can cause reproductive and adrenal health issues.