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Lasers are effective and safe for various medical treatments, including cancer, wound healing, and skin conditions.
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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 Psychosocial aspects of androgenetic alopecia
Hair loss can cause significant social and emotional issues, especially for women and young men.
research Poly(γ-Glutamic Acid)/Chitosan Hydrogel Nanoparticles For Effective Preservation And Delivery Of Fermented Herbal Extract For Enlarging Hair Bulb And Enhancing Hair Growth
The nanoparticles improved hair growth and enlarged hair bulbs.
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 Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research THE POTENTIAL OF AI TO ENHANCE MEDICAL EDUCATION: OPPORTUNITIES, CHALLENGES, AND ETHICAL CONSIDERATIONS
AI can greatly improve medical education by personalizing learning and enhancing skills, but challenges like cost, training, and ethics need addressing.
research Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
research AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
AI improves biomaterial design by making it faster, cheaper, and more effective for personalized medicine.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research TOWARDS NOVEL DIAGNOSTIC MARKER BASED ON BREAST ARTERIAL CALCIFICATIONS
Detecting early breast arterial calcifications can help assess cardiovascular disease risk.
research Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Deep learning effectively diagnoses scalp disorders, but improvements are needed.
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 GROWTH ACTIVITY AND SAFETY TEST OF ETHOSOMAL GEL ETHYL ACETATE FRACTION OF NOTHOPANAX LEAVES (NOTHOPANAX SCUTELLARIUM MERR.)
The 1% ethyl acetate fraction ethosomal gel from Nothopanax scutellarium leaves promotes hair growth but can mildly irritate the skin.
research Smart Diagnostic System for Health Risk Assessment
WomenCare helps predict PCOD risk in women to encourage early medical consultation.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
Naive Bayes algorithm can help predict hair loss risk early.
research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.
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.
research Generative adversarial networks for anonymous acneic face dataset generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
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 ADVANCES IN FUNCTIONAL NEUROSURGERY – MACHINE LEARNING, NEURAL ENGINEERING AND ROBOTICS IN TREATMENT OF NEURODEGENERATIVE DISORDERS
AI and robotics are improving treatment and monitoring of neurodegenerative disorders like Parkinson's.
research CECHY KLINICZNE PRZEBIEGU CHORÓB UKŁADU ODDECHOWEGO WYWOŁANYCH PRZEZ SARS-COV-2 U DZIECI Z ZACHODNICH REGIONÓW BIAŁORUSI
Urban children in western Belarus had more severe COVID-19 cases in 2021.
research A NEW GENERATION OF MARKERS FOR CANCER DETECTION AND DRUG TRANSPORT
New markers can detect tumors, aid drug delivery, and treat cancer effectively and safely.
research POINT OF CARE W RADIOLOGII
Point of Care in radiology speeds up diagnosis and treatment by performing tests where the patient is.
research SKUTECZNOŚĆ STOSOWANIA STANDARDOWYCH PROTOKOŁÓW KONTROLOWANEJ STYMULACJI JAJNIKÓW ZE SKŁADNIKIEM LH I BEZ NIEGO U PACJENTEK Z OBNIŻONĄ REZERWĄ JAJNIKOWĄ
Using a protocol with LH improves pregnancy rates in patients with low ovarian reserve.
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.