research ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.
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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 AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
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 Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
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 Repurposing DPP4-Inhibition to Improve Hair Follicle Activation and Regeneration
Blocking DPP4 can potentially speed up hair growth and regeneration, especially after injury or in cases of hair loss.
research Sparse haplotype-based fine-scale local ancestry inference at scale reveals recent selection on immune responses
Recent selection on immune response genes was identified across seven ethnicities.
research Impact of artificial intelligence on healthcare
AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
research Relevance of topical application of minoxidil laden nano-lipid for hair growth enhancement
The new minoxidil formula speeds up hair growth effectively.
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 Cosmeceuticals
Isotretinoin and tazarotene help treat acne, while minoxidil and finasteride promote hair growth.
research Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
research A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
research Immunosenescence and inflammaging in Parkinson’s disease: mechanisms and therapeutic prospects
Age-related immune changes worsen Parkinson's disease, suggesting new treatment strategies.
research Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research Fractional microneedle radiofrequency - mechanism of action and assessment of safety, effectiveness in the treatment, and possible side effects based on a review of scientific literature
Fractional microneedle radiofrequency is a safe and effective skin treatment with minimal serious side effects.
research Single-cell sequencing reveals the intermediate cell state and function of dermal papilla cells in the hair follicle cycle of cashmere goats
Researchers found four key stages of cell development that are important for hair growth and shedding in cashmere goats.
research How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
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 Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
research A Critical Evaluation of Evaluations for Long-form Question Answering
Current automatic metrics for long-form question answering don't align with human preferences; a multi-faceted evaluation approach is needed.
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 MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
MSF-VMDNet accurately segments skin cancer images better than existing methods.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research Antitumor Activities of the Typhonium flagelliforme Extract Combined with Natural Interferons of Canine and Feline in Mice with DMBA Induced Skin Tumors
The combination of Typhonium flagelliforme extract and natural interferons effectively reduces tumor growth in mice.
research VIII International Conference "Interdisciplinary aspects of diseases of the skin and mucous membranes" 11-12th March 2022
Higher IL-31 levels are linked to worse itching in chronic kidney disease patients.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.