research Management of hypotrichosis of the eyelashes: Focus on bimatoprost
Bimatoprost ophthalmic solution 0.03% safely and effectively increases eyelash growth when applied to the upper eyelid.
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research From industry 4.0 to lab 4.0
Industry 4.0 is transforming labs with new tools, making research more efficient and environmentally friendly.
research Use of modern technological devices (photography, mobile phone applications and artificial intelligence) in dermatology
Technology, like mobile apps and AI, is improving skin condition diagnosis and treatment.
research Safety and Efficacy of Bimatoprost Solution 0.03% Topical Application in Patients with Chemotherapy-Induced Eyelash Loss
Bimatoprost is safe and effective for treating eyelash loss caused by chemotherapy.
research Management of Hypotrichosis of the Eyelashes
Bimatoprost ophthalmic solution 0.03% is a safe and effective way to increase eyelash growth.
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 A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
research Quantification of hair follicle parameters using computer image analysis: A comparison of androgenetic alopecia with normal scalp biopsies
Hair follicles are smaller in people with androgenetic alopecia compared to those with normal scalps.
research Evaluation of the relationship of digital phototrichogram findings of patients with diffuse hair loss with blood TSH, ferritin and vitamin B12 levels
Low ferritin levels are linked to increased hair loss; no link found between vitamin B12, TSH levels, and hair loss.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
research Computerized morphometry and three-dimensional image reconstruction in the evaluation of scalp biopsy from patients with non-cicatricial alopecias
The study suggests computer-assisted analysis of scalp biopsies could improve hair loss diagnosis but needs more validation.
research The effectiveness of remote interventions based on digital health technology in kidney transplant recipients: a systematic review
Digital health technology improves health and medication adherence in kidney transplant patients.
research Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset
Google Search ads effectively gathered a diverse dermatology image dataset for research and AI development.
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 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 Noninvasive Assessment of Donor Area in Patients with Androgenetic Alopecia undergoing Hair Transplantation by Digital Imaging Technique
Digital imaging can effectively evaluate the donor area for hair transplants, showing variations in hair density and grouping by age and severity of hair loss.
research Diffüz Alopesili Kadınlarda "Dijital Fototrikogram" ile "Darı Ekstresi, Buğday Tohumu Yağı, L-sistin, Kalsiyum Pantotenat" Formulasyonunun Etkisinin Değerlendirilmesi
Millet extract, wheat germ oil, L-cystine, and calcium pantothenate reduced hair loss and improved hair growth in women with diffuse alopecia.
research The Quantification of Terminal Hair by Digital Microscopy: Advancements Towards a More Objective Diagnosis of Hirsutism
Digital microscopy can help diagnose hirsutism by measuring hair growth.
research Limits and Problems of the Relationship Between New Media and Digital Games
Digital games are part of new media but need a deeper look at their complex nature and cultural roots.
research Microscopic high-resolution digital volumetric imaging of human hair fibers
DVI provides detailed 3D imaging of hair and shows how various products protect and enhance hair.
research Traditional Knowledge Digital Library: The Challenges Ahead
The document suggests creating a secure database for indigenous knowledge and recommends that the TKDL actively fight patents that slightly alter traditional knowledge.
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 The repression of mètis within digital organizations
Over-reliance on automation limits human problem-solving in emergencies.
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 Needle Transportable Semi-Automatic Hair Follicle Implanter and Image-Based Hair Density Estimation for Advanced Hair Transplantation Surgery
A new semi-automatic hair implanter could make hair transplants easier, more successful, and more accessible.
research A Segmental Approach to Scoring Hair Density from Global Images: Introducing the Scalp Coverage Scoring Method for Clinical Trials and Practice
The Scalp Coverage Scoring method reliably measures hair density from images.
research Variable expressivity of syndromic BMP4-related eye, brain, and digital anomalies: A review of the literature and description of three new cases
BMP4-related anomalies can cause a wide range of eye, brain, and hand/foot problems, and new cases show this variability.
research Abstract presented at the Joint meeting of the 21st meeting of the Japanese Research Society of clinical anatomy and the 6th meeting of the Society for aging image
High-resolution imaging is crucial for diagnosing and planning treatments in clinical anatomy and aging.
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 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.