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 Estimating Scalp Moisture in a Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
research DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
Machine learning and deep learning can effectively diagnose alopecia areata.
research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
research Hair analysis based on medical history and spatial-temporal data
Machine learning can predict hair health accurately using personal data.
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 Progesterone Promotes the Survival of Newborn Neurons in the Dentate Gyrus of Adult Male Mice
Progesterone helps adult male mice's brain cells survive and improves learning and memory.
research Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
research Anxiety-, and Depression-like Behaviour Following Short-Term Finasteride Administration is Associated with Impaired Synaptic Plasticity and Cognitive Behaviour in Male Rats
Short-term finasteride use in male rats caused anxiety, depression, and memory problems.
research Hair Color Digitization through Imaging and Deep Inverse Graphics
A new method accurately captures and renders hair color for real and synthetic images.
research Can online medical education improve management of challenging cases of onychomycosis?
Online medical education helps doctors make better clinical decisions and increases their knowledge in treating fungal nail infections.
research MachineLearning-Driven Optimization of TherapeuticSubstance Composition for High-Hardness, Fast-Dissolving Microneedlesfor Androgenetic Alopecia Treatment
Machine learning optimized microneedles promote hair regrowth better than minoxidil without safety risks.
research HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species
Machine learning can accurately tell apart False Daisy and Smooth Joy Weed.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
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 Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Do Not Fear When Menopause Is Near: The Importance of a Preparatory Time and Space to Face the Consequences before Reaching the Menopause
Preparing and learning about menopause can improve women's quality of life as they approach this phase.
research Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
research Slowly Does It
Special astrocytes improved learning and memory in rats after a stroke.
research HAIR LOSS AND REGENERATION PERFORMED ON ANIMAL MODELS
Animal models are crucial for learning about hair loss and finding treatments.
research Uncharted waters
New DNA analysis and machine learning are advancing forensic science, improving accuracy and expanding into non-human applications.
research Accuracy of Generative AI Chatbots in Answering Plastic Surgery Examination Questions: A Comparative Evaluation of ChatGPT‐4o, Gemini Advanced, and DeepSeek‐R1
AI chatbots can be reliable learning tools for plastic surgery students.
research 2018 ISPAN Meeting Abstracts
The 2018 ISPAN Meeting emphasized hands-on learning, patient safety, and professional growth in medical aesthetics and reconstructive practices.
research Book Review of Dermatologic Clinics: Advances in Cosmetic Dermatology
The book is a valuable resource for learning about new cosmetic dermatology treatments, despite some content overlap and inconsistent visuals.
research Stroke Recovery
Transplanted human Olig2+ astroglia may help improve learning and memory after a stroke.
research Unraveling the Complex: Changes in Secondary Science Preservice Teachers' Assessment Expertise
Changes in early neurosteroid levels can affect adult learning and anxiety.
research Manual of chemical peels: Superficial and medium depth
The book is a useful guide for learning about chemical peels, with practical information for all skill levels.
research Nerve cells and nervous systems: an introduction to neuroscience
Neurons and synapses are key to brain function and learning.