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.
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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 Optimizing Skin Disease Diagnosis: Harnessing Online Community Data With Contrastive Learning and Clustering Techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
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 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 Scalp Disease Analysis Using Deep Learning Models
Deep learning models can analyze scalp diseases effectively.
research Deep Learning-Based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
research Hair Disease Classification Using Convolutional Neural Network Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research How Good Is Artificial Intelligence at Solving Hairy Problems? A Review of AI Applications in Hair Restoration and Hair Disorders
AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
research Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging
A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
research Leveraging Deep Neural Networks to Uncover Unprecedented Levels of Precision in the Diagnosis of Hair and Scalp Disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
research Exploring New Horizons: Surgical Robots Supported by Artificial Intelligence
AI-assisted surgical robots improve surgery precision and safety.
research The Imperfect Beauty: Examining the Evolving Concept of Beauty
Modern society values both traditional beauty and imperfections, but media pressures lead to more cosmetic enhancements and ethical concerns.
research Failures of DNA Methylation Clocks and Development of a Noise Barometer for Measuring Epigenetic Pressure of Aging and Disease
Elastic Net DNA methylation clocks are inaccurate for predicting age and health status; a "noise barometer" may better indicate aging and disease.
research Attention to Innate Circadian Rhythm and the Impact of Its Disruption on Diabetes
Disrupting natural body clocks increases the risk of developing type 2 diabetes.
research Autonomous Robotic Surgery: Has the Future Arrived?
Autonomous robotic surgery is advancing but still requires human supervision for complex procedures.
research Kalya Research: Complementary and Alternative Medicine Virtual Research Assistant from Biomedical Literature
Kalya Research is an AI tool that effectively finds and analyzes alternative medicine literature, saving researchers time.
research Impact of Artificial Intelligence on Healthcare
AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
research An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
The new method improves facial image restoration quality and face recognition accuracy.
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 A Guide to Studying Human Hair Follicle Cycling In Vivo
The document provides a method to classify human hair growth stages using a model with human scalp on mice, aiming to standardize hair research.
research DrugNet: Network-Based Drug–Disease Prioritization by Integrating Heterogeneous Data
DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
research COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine
The conclusion is that individual differences in COVID-19 severity are influenced by factors like age, sex, race, and genetics, which are important for personalized medicine.
research Persistent Erectile Dysfunction in Men Exposed to 5α-Reductase Inhibitors, Finasteride, or Dutasteride
Using finasteride or dutasteride may cause long-lasting erectile dysfunction.
research Noncoding dsRNA Induces Retinoic Acid Synthesis to Stimulate Hair Follicle Regeneration via TLR3
Noncoding dsRNA boosts hair growth by activating TLR3 and increasing retinoic acid.
research Drug Repurposing: Hypothesis, Molecular Aspects, and Therapeutic Applications
Drug repurposing is a cost-effective way to find new uses for existing drugs, speeding up treatment development.
research Network-Based Drug Repositioning: Approaches, Resources, and Research Directions
The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.
research The Human Gut Chemical Landscape Predicts Microbe-Mediated Biotransformation of Foods and Drugs
The study developed a tool to predict how gut microbes process foods and drugs, showing that similar compounds often share metabolic pathways and effects.