research A genomic approach to susceptibility and pathogenesis leads to identifying potential novel therapeutic targets in androgenetic alopecia
Genomic approach finds new possible treatments for hair loss.
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research A comparison of transcriptomic patterns measured in the skin of Chinese fine and coarse wool sheep breeds
Fine wool sheep have more genes for wool quality, while coarse wool sheep have more for skin and muscle traits.
research Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
research Frontal Fibrosing Alopecia: A Review
Frontal Fibrosing Alopecia's cause is unclear, affects mainly postmenopausal women, and current treatments focus on stopping hair loss rather than regrowth.
research Identification of dual-purpose therapeutic targets implicated in aging and glioblastoma multiforme using PandaOmics - an AI-enabled biological target discovery platform
CNGA3, GLUD1, and SIRT1 are promising targets for treating aging and glioblastoma.
research Chemistry42: An AI-Driven Platform for Molecular Design and Optimization
Chemistry42 effectively creates and optimizes new molecules for drug discovery.
research Precision Dermatology: A Review of Molecular Biomarkers and Personalized Therapies
Personalized medicine in dermatology uses molecular biomarkers to improve diagnosis and treatment but needs further advancements for practical use.
research PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
XGBoost can effectively diagnose PCOS with 87% accuracy.
research A Decade of Autologous Micrografting Technology in Hair Restoration: A Review of Clinical Evidence and the Evolving Landscape of Regenerative Treatments
Autologous Micrografting Technology effectively improves hair growth and is a safe, promising option for hair restoration.
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research A Concept on The Development of The DRDE Series of Compounds for Skin Diseases Using In-Silico ADME And Drug-Likeness Analysis
DRDE-07 shows promise for treating skin diseases due to its favorable properties.
research Precision and Personalized Medicine in Transdermal Drug Delivery Systems: Integrating AI Approaches
AI-enhanced smart patches can personalize drug delivery for better treatment outcomes.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Precision therapeutics in non-scarring alopecia: a systemic genomic and pathway-based framework for targeted interventions
Personalized treatments for hair loss focus on specific genetic and biological pathways.
research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research ROBOTIC HAIR TRANSPLANTATION – ARTIFICIAL INTELLIGENCE PLUS HUMAN TOUCH
Robotic hair transplantation with AI offers more reliable, precise, and efficient hair restoration.
research The role of 3Rs in the age of One Health: where we are and where we’re going
Innovative methods are reducing animal testing and improving biomedical research.
research A Subset of TREM2+ Dermal Macrophages Secretes Oncostatin M to Maintain Hair Follicle Stem Cell Quiescence and Inhibit Hair Growth
Certain immune cells in the skin release a protein that stops hair growth by keeping hair stem cells inactive.
research Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats
MicroRNAs and AI can improve cashmere goat hair quality and aid in hair disorder diagnosis.
research A State-of-the-Art Overview on (Epi)Genomics and Personalized Skin Rejuvenating Strategies
Personalized skin rejuvenation using genomics shows promise but needs more research.
research Use of modern technological devices (photography, mobile phone applications and artificial intelligence) in dermatology
Technology, like mobile apps and AI, is improving skin condition diagnosis and treatment.
research Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
Artificial neural networks can accurately diagnose Alopecia Areata.
research Prolactin: A Mammalian Stress Hormone and Its Role in Cutaneous Pathophysiology
Prolactin affects skin health and may lead to new treatments for skin and hair issues.
research Discovering the potential of natural remedies in the post COVID-19 complications based on in silico techniques
Natural compounds, especially Withaferin-A, may help treat post-COVID-19 complications, but some may have side effects.
research Scabicidal Potential of Coconut Seed Extract in Rabbits via Downregulating Inflammatory/Immune Cross Talk: A Comprehensive Phytochemical/GC-MS and In Silico Proof
Coconut seed extract may effectively treat scabies in rabbits by killing mites and reducing inflammation.
research A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.
research Detecting shortcut learning for fair medical AI using shortcut testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.