research Humane rapid tranquillization of an agitated patient with an implantable cardioverter defibrillator
Non-drug methods effectively managed agitation in a patient with a heart device, leading to improved mental function.
Search
for
Sort by
Research
750-780 / 1000+ resultsresearch Three-dimensional microanatomy of mechanoreceptors and their possible mechanism of sensory transduction.
Mechanoreceptors convert physical touch into electrical signals through specialized nerve structures.
research In vitro interactions between sensory nerves, epidermis, hair follicles and capillaries in a tissue‐engineered reconstructed skin
The model effectively studies how sensory nerves interact with skin components, aiding research on wound healing and hair growth.
research A propòsit de la possible intervenció de Reinard des Fonoll en la construcció de l'església arxiprestal de Morella
Planarians regenerate using conserved gene expression mechanisms, with runt-1 crucial for cell type specification.
research A NIR-responsive PDA@RES core-shell nanoplatform accelerates chronic wound healing by remodeling mitochondrial homeostasis and reversing cellular senescence
A special treatment speeds up chronic wound healing by fixing cell energy issues and reversing aging in cells.
research Proceedings of The International Research Education & Training Center
research Forme létale de syndrome de Netherton au sein d’une famille multiplex consanguine
A severe form of Netherton syndrome caused by a specific gene mutation led to neonatal deaths in a family.
research 1446 RNase L acts as a regeneration suppressor
RNase L suppresses regeneration in mammals.
research 43364 Long Term Real-World Patient-Reported Outcomes with Risankizumab in Patients with Moderate to Severe Psoriasis From the CorEvitas Psoriasis Registry
research Endoplasmic reticulum in health and disease: the 12th International Calreticulin Workshop, Delphi, Greece
The workshop discussed the role of a protein called calreticulin in health and disease, its potential as a treatment target, and its possible use as a disease marker.
research Development and application of emotion recognition technology — a systematic literature review
Emotion recognition tech helps devices understand emotions, but more research is needed for complex situations.
research Advances in Digital Light Processing (DLP) Bioprinting: A Review of Biomaterials and Its Applications, Innovations, Challenges, and Future Perspectives
DLP bioprinting shows promise for medical uses, but needs more material options and strength improvements.
research Poster Presentations
Ustekinumab successfully treated a man's resistant skin condition when other treatments failed.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
research Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
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 GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
research A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet
A web platform was created to help diagnose scalp conditions accurately and easily.
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 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 A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
A new method accurately measures cell changes in breast cancer.
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 Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications
Ultrasound-based radiomics and radiogenomics can improve ovarian cancer diagnosis and treatment, but need better standardization and AI tools.
research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
"HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research In Silico Characterization and Analysis of Clinically Significant Variants of Lipase-H (LIPH Gene) Protein Associated with Hypotrichosis
Three specific mutations in the LIPH gene can cause hair loss by damaging the protein's structure and function.
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 Artificial intelligence in dermatology: а scoping review
AI in dermatology shows high accuracy in diagnosing skin diseases but needs more research for improvement.
research Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.