research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.
Search
for
Sort by
Research
30 / 1000+ results research An open-access data set of pig skin anatomy and physiology for modelling purposes
The data set helps improve predictions of how substances are absorbed through pig skin.
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.
research rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimation
rwSALT provides precise hair regrowth measurement from scalp photos.
research rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimation
rwSALT accurately measures hair regrowth in alopecia areata using scalp photos.
research Weakly supervised learning of biomedical information extraction from curated data
The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
research Why Do Promising Therapies Stall in Development and How Can We Move Them Forward?
Most drugs fail to reach the market, but understanding their properties and using strategies like early toxicity tests and drug repurposing can help advance their development.
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 High-throughput phenotyping methods for quantifying hair fiber morphology
Hair fiber shape and curvature are not significantly linked when ancestry is considered.
research Generative adversarial networks for anonymous acneic face dataset generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
research Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset
Google Search ads effectively gathered a diverse dermatology image dataset for research and AI development.
research Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study (Preprint)
Social media data can help track and predict COVID-19 symptoms and trends.
research Genome-wide gene expression dataset used to identify potential therapeutic targets in androgenetic alopecia
Five molecular elements identified as potential future targets for hair loss therapy.
research Open-label placebos reduce hair cortisol concentrations and psychological distress - a randomized controlled trial
Open-label placebos can reduce stress and improve exam performance.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
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 Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
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 6-Month Prospective, Open-Label, Randomized Study Showing Increased Hair Growth Rate in Women Using Multi-Targeting Hair Growth Nutraceuticals
Hair growth supplements significantly improve hair growth and health in women.
research A Phase 3, Open-Label, Single-Arm Trial of the Efficacy and Safety of Triptorelin 6-Month Formulation in Chinese Children with Central Precocious Puberty
Triptorelin effectively treats central precocious puberty in Chinese children with minimal side effects.
research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
research Single-cell chromatin landscapes of mouse skin development
The study maps how genes are regulated during mouse hair growth.
research Transcriptome analyses of reprogrammed feather / scale chimeric explants revealed co-expressed epithelial gene networks during organ specification
Key genes can rewire networks, changing skin appendage types.
research Towards Best Practice in Hair Metabolomic Studies: Systematic Investigation on the Impact of Hair Length and Color
Hair color and length affect metabolite profiles in hair, so they should be considered in hair analysis.
research scMC learns biological variation through the alignment of multiple single-cell genomics datasets
scMC effectively separates biological signals from technical noise in single-cell genomics data.
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 The Genus Astragalus Species as an Emerging Source of Bioactive Phytochemicals: A Review of Dermatological and Cosmetic Applications
Astragalus plants may improve skin health and have anti-aging benefits.
research A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.
research Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study
Social media data can help track COVID-19 symptoms and predict the pandemic's status.
research LINCS Dataset-Based Repositioning of Dutasteride as an Anti-Neuroinflammation Agent
Dutasteride may help reduce brain inflammation and improve cognition.