research Prediction of cell states and key transcription factors of the human cornea through integrated single-cell omics analyses
A new tool accurately identifies human cornea cell states and key factors.
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120-150 / 1000+ resultsresearch Repurposing With Purpose: Treatment of Bachmann–Bupp Syndrome With Eflornithine and Implications for Other Polyaminopathies
Eflornithine improved symptoms in Bachmann–Bupp Syndrome patients.
research Role of Drug Repurposing in Sustainable Drug Discovery
Drug repurposing speeds up drug development, saves money, and has led to about a third of new drug approvals.
research Integration of Colorimetric Sensing Dyes and Multi‐Substrate Arrays for Food Quality and Safety Monitoring: Design, Optimization, and Analysis
Combining advanced sensors with portable devices could enhance on-site food safety monitoring.
research Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management
Microbiome analysis, BEVs, and AI can improve PCOS diagnosis and treatment.
research Drug repurposing: Clinical practices and regulatory pathways
Drug repurposing offers faster, cheaper drug development but faces challenges like safety, ethics, and funding.
research Advances of antimicrobial dressings loaded with antimicrobial agents in infected wounds
Antimicrobial dressings are promising but need more research to confirm their effectiveness in healing wounds.
research Cell cycle controls long-range calcium signaling in the regenerating epidermis
Calcium signaling in skin cells is crucial for communication and regeneration.
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.
research A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
A new method accurately measures cell changes in breast cancer.
research Non-invasive skin measurement methods and diagnostics for vitiligo: a systematic review
Reliable, non-invasive tools are needed for better vitiligo diagnosis.
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 Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research A doxycycline- and light-inducible Cre recombinase mouse model for optogenetic genome editing
The DiLiCre mouse model is an effective tool for precise genome editing using light.
research Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study (Preprint)
The study aims to create a model to improve personalized and preventive health care.
research A comparative analysis of three explanatory models of mental disorder and a preferred focus of explanation
Steroid cell tumors in the ovary are rare, can produce testosterone causing symptoms, and are mainly treated with surgery.
research Minimizing Factual Inconsistency and Hallucination in Large Language Models
A new method improves the accuracy and reliability of language models by up to 42%.
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 Neurosteroids Are Endogenous Neuroprotectants in an Ex Vivo Glaucoma Model
A natural steroid in the body may protect against eye damage in glaucoma.
research The Effect of Lavandula stoechas on Wound Healing in an Experimental Diabetes Model
Lavandula stoechas helps wounds heal faster in diabetic and non-diabetic rats.
research Forensic DNA Phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.
research Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
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 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 A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
A new model uses specific blood markers to predict if children's hair loss will return.
research Evaluation of hair growth-promoting, anti-inflammatory, and 5α-reductase inhibitory effects of Spirulina extract using in vitro and in vivo models
Spirulina extract may effectively promote hair growth and reduce inflammation, offering a natural alternative for hair loss treatment.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Fine-tuned BERT models are better than LLMs for detecting bias in medical data.