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 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 Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
The model accurately identifies hair diseases using deep learning.
research How to Assess Dermatology Resident Surgical Training: New Techniques
New evaluation tools are needed for better surgical training in dermatology residency programs.
research Benefits of Proper Hair Restoration
Hair restoration can improve attractiveness and trustworthiness, but it should be done aesthetically; advancements in technology and medical therapies are making it more accessible and effective.
research Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
research Angiogenic factor-driven improvement of refractory thin endometrium with autologous platelet-rich plasma intrauterine infusion in frozen embryo transfer cycles
Platelet-rich plasma infusion improved pregnancy outcomes for women with thin endometrium.
research Advantages of Microvascular Free Scalp Flap Transfer as a Means of Hair Transplantation
Microvascular free scalp flap transfer is an effective method for hair restoration.
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 PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
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 Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
Artificial neural networks can accurately diagnose Alopecia Areata.
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.
research Regenerative Strategies for Androgenetic Alopecia: Evidence, Mechanisms, and Translational Pathways
New regenerative treatments show promise in improving hair growth for androgenetic alopecia.
research Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
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 Innovations in skin microphysiological systems for nonclinical testing and FDA modernization
New technologies replicate human skin for testing without animals.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
research Neuropharmacological profile of Eclipta alba (Linn.) Hassk
Eclipta alba extract improved learning, memory, and stress-related ulcers in rats without affecting movement or causing anxiety.
research HAIR LOSS AND REGENERATION PERFORMED ON ANIMAL MODELS
Animal models are crucial for learning about hair loss and finding treatments.
research Early postnatal neuroactive steroid manipulation differentially affects recognition memory and passive avoidance performance in male rats
Changing neuroactive steroids in baby male rats affects their memory and learning differently as they grow up.
research Extracellular vesicle-based drug overview: research landscape, quality control and nonclinical evaluation strategies
Extracellular vesicles show promise for treating diseases but face challenges in development and regulation.
research DiZyme: The Ultimate Resource for Nanozyme Multiple Catalytic Activity Prediction
DiZyme accurately predicts nanozyme activities to aid in discovering new applications.
research Updates From 2021 Virtual Dermatology Nurses' Association Convention
The convention discussed various skin conditions, treatments, and the importance of continuous learning in dermatology nursing.
research Engineered exosomes and composite biomaterials for tissue regeneration
Exosomes show promise for future tissue regeneration.
research CZY SZTUCZNA INTELIGENCJA MA I BĘDZIE MIAŁA WPŁYW NA EFEKTYWNIEJSZE LECZENIE W CHIRURGII NACZYNIOWEJ?
AI improves vascular surgery by enhancing diagnostics, planning, and monitoring.
research Abstract: Real Time Ultrasound Assisted Gluteal Fat Grafting: Increasing Safety in Gluteal Fat Augmentation
Using real-time ultrasound during gluteal fat grafting is safe and reduces complication risks.
research Contents
Tailoring facial plastic surgery to different ethnic groups ensures natural and satisfactory results.
research Deep Insight of Design, Mechanism, and Cancer Theranostic Strategy of Nanozymes
Nanozymes show promise for effective and safe cancer treatment.
research Abstracts from the 55th European Society of Human Genetics (ESHG) Conference: Oral Presentations
NIPT can help detect potential maternal cancer, and GIPXplore can identify immune diseases in pregnancies.