research Computational Screening of Repurposed Drugs and Natural Products Against SARS-CoV-2 Main Protease as Potential COVID-19 Therapies
Some existing drugs and natural products might work against COVID-19 by targeting the virus's main protease.
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research The Need for Speed and Efficiency: A Brief Review of Small Molecule Antivirals for COVID-19
Some small molecule antivirals show promise against COVID-19, but more research is needed to understand and improve them.
research From Piezoelectric Nanogenerator to Non-Invasive Medical Sensor: A Review
Piezoelectric Nanogenerators are promising for non-invasive health monitoring but need efficiency and durability improvements.
research Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study
Social media data can help track COVID-19 symptoms and predict the pandemic's status.
research Effects of Lavender and Geranium Scalp Hair Cosmetic Scent on Brain Waves
Lavender scent in shampoo can relax and help with memory, while geranium scent can make you more alert and improve memory.
research Design and Proof-of-Concept of Single Robotic Hair Transplant Mechanisms for Both Harvest and Implant of Hair Grafts
A single robotic system can accurately harvest and implant hair grafts, showing promise for real-world use.
research Regenerative Medicine Meets Mathematical Modelling: Developing Symbiotic Relationships
Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.
research Assessment of the Effect of Ficus Carica Leaf Extract on B16F10 Melanoma Cancer Cells: The Roles of p53, Caspase-3, and Caspase-9 in Inducing Intrinsic Apoptosis Cascade
Ficus carica leaf extract may help treat melanoma by promoting cancer cell death without harming normal cells.
research A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
The system can automatically identify different hair and scalp conditions using machine learning.
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 Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
research Deep Review on Alopecia Areata Diagnosis for Hair Loss-Related Autoimmune Disorder
Machine learning and deep learning can effectively diagnose alopecia areata.
research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research American Society for Laser Medicine and Surgery 2019 Late Breaking Abstracts
The conference reported improvements in muscle volume, skin cancer diagnosis, facial and vaginal rejuvenation, and hair growth using various laser treatments.
research Estimating Scalp Moisture In A Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
research Research Techniques Made Simple: Optical Clearing and Three-Dimensional Volumetric Imaging of Skin Biopsies
3D imaging of skin biopsies offers better accuracy but is time-consuming and can't clear melanin.
research Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-Sectional Study
The study aims to create a model to improve personalized and preventive health care.
research Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
Machine learning is effective in predicting gene functions and their relationships with diseases.
research Research on Mental Stress Recognition of Depressive Disorders in Patients with Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
research Assessment of Multidimensional Health Care Parameters for Developing a Virtual Human Generative Model: A Cross-Sectional Study in Japan
The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
research Whole Neonatal Cochlear Explants as an In Vitro Model
The new method makes it easier to study the whole cochlea from newborn mice and rats in the lab.
research Hair Cell Toxicology: With the Help of a Little Fish
Zebrafish larvae are used to study and find treatments for ear cell damage because they are easier to observe and test than mammals.
research American Society for Laser Medicine and Surgery - 2018 Late-Breaking Abstracts
New treatments and technologies in laser medicine show promise for improving skin conditions, fat reduction, cancer treatment, wound healing, and hair restoration.
research Genetic Prediction of Male Pattern Baldness Based on Large Independent Datasets
New models predict male pattern baldness better than old ones but still need improvement.
research Development and Prospective Applications of 3D Membranes as a Sensor for Monitoring and Inducing Tissue Regeneration
3D-printed membranes with smart sensors can greatly improve tissue healing and have many medical applications.
research Editorial: Progress and Prospects on Skin Imaging Technology, Teledermatology, and Artificial Intelligence in Dermatology
New skin imaging, teledermatology, and AI could become key in future dermatology care.
research Analysis of 72,469 UK Biobank Exomes Links Rare Variants to Male-Pattern Hair Loss
Rare genetic variants in five specific genes are linked to male-pattern hair loss but only account for a small part of the risk.
research Application of Multi-Omics Techniques to Androgenetic Alopecia: Current Status and Perspectives
Multi-omics techniques help understand the molecular causes of androgenetic alopecia.