research Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
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research Genetic prediction of male pattern baldness based on large independent datasets
New models predict male pattern baldness better than old ones but still need improvement.
research Genetic variants in androgenetic alopecia: insights from scalp RNA sequencing data
Certain genetic variants and pathways are linked to hair loss.
research Insights into Male Androgenetic Alopecia: Differential Gene Expression Profiling of Plucked Hair Follicles and Integration with Genetic Data
Gene differences found in hair follicles linked to male baldness.
research Human hair production by scalp samples grafted onto nude mice. Biochemical data on normal human hair and the genetic defect trichothiodystrophy
Grafted human scalp samples on mice can produce human hair, useful for studying hair genetics.
research Generic Development of Topical Dermatologic Products: Formulation Development, Process Development, and Testing of Topical Dermatologic Products
The document concludes that developing generic topical drugs requires ensuring they match the original in quality, composition, and structure, and often involves complex testing and regulatory steps.
research Phenotypic heterogeneity in human genetic diseases: ultrasensitivity-mediated threshold effects as a unifying molecular mechanism
Different people show different symptoms for genetic diseases because of how sensitive their bodies are to small changes in important factors.
research Transforming 300 billion points of data into diagnostics, therapeutics and new insights into disease
Large data can lead to new medical discoveries and personalized medicine.
research Integrative analysis of Iso-Seq and RNA-seq data reveals transcriptome complexity and differential isoform in skin tissues of different hair length Yak
Different genes affect hair length in yaks.
research Biological insights from self-perceived facial aging data of the UKBB participants
Self-perceived facial aging is linked to skin pigmentation, immune system, hair loss in men, and genes related to the skin's structure.
research From the Microscopic Sweat Gland to Large Datasets: The Power of Quantitative Traits in Dermatology
Using quantitative traits in genetics can improve understanding and management of skin health and conditions.
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 Three-dimensional reconstructions of mechanosensory end organs suggest a unifying mechanism underlying dynamic, light touch
Dynamic, light touch is sensed through a common mechanism involving Piezo2 channels in sensory axons.
research Relationship of Hypothyroidism with Alopecia Areata and Androgenetic Alopecia: Insights from a Two-Sample Mendelian Randomization Study
Hypothyroidism may cause certain types of hair loss.
research Exploring the Relationship Between Immune Cells and Non-Scarring Hair Loss: A Mendelian Randomization Study
Certain immune cells are linked to non-scarring hair loss, suggesting potential for immune-targeted treatments.
research Utilising SNP Association Analysis as a Prospective Approach for Personalising Androgenetic Alopecia Treatment
Genetic factors could lead to personalized treatments for hair loss.
research Splitting Hairs: Evaluating the Origin of Human Nakedness
Humans likely became hairless to better regulate body temperature.
research Prioritizing Susceptibility Genes for the Prognosis of Male-pattern Baldness with Transcriptome-wide Association Study
The research identified genes linked to male-pattern baldness and potential drug targets for treatment.
research Integrated single-cell RNA-sequencing data of unwounded and wounded mouse skin and fibroblasts.
The dataset includes detailed genetic information from mouse skin cells before and after injury.
research Integrated single-cell RNA-sequencing data of unwounded and wounded mouse skin and fibroblasts.
The dataset includes detailed genetic information from mouse skin cells before and after injury.
research 303 The role of rare variants in male-pattern hair loss: Analysis of whole exome sequencing data in the UK Biobank
Rare genetic variants in 125 genes are linked to male-pattern hair loss.
research Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data
Hair greying is mainly influenced by age, with genetics playing a smaller role.
research Spontaneous cutaneous adverse drug reaction reports—An analysis of a 10‐year dataset in Singapore
In Singapore, most skin reactions to drugs were in females and Chinese, often caused by painkillers, antibiotics, and some other drugs, with serious cases linked to genetics.
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 Genetic Basis of Male Pattern Baldness
Male pattern baldness is largely genetic, linked to the androgen receptor gene, and may relate to certain health issues.
research Review on Alopecia Areata in the Middle East and Africa: Landscape and Unmet Needs
The Middle East and Africa need better data, treatment consensus, and support for Alopecia Areata.
research Data from Synergistic Function of Smad4 and PTEN in Suppressing Forestomach Squamous Cell Carcinoma in the Mouse
Deleting Smad4 and PTEN genes in mice causes rapid, invasive stomach cancer.
research Data from Synergistic Function of Smad4 and PTEN in Suppressing Forestomach Squamous Cell Carcinoma in the Mouse
Deleting Smad4 and PTEN genes in mice causes rapid, invasive forestomach cancer.
research Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.
research MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genes
MendelVar is a tool that helps identify important genes by combining GWAS data with Mendelian disease information.