research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
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510-540 / 1000+ results research The multifaceted role of hair as a biospecimen: recent advances in precision medicine and forensic science
Hair analysis is valuable for health and forensics but faces challenges like growth variability and contamination.
research Genetic Prediction of Eye, Hair, and Skin Color: Forensic Applications and Challenges in Latin American Populations
Accurate prediction of eye, hair, and skin color in Latin American populations requires region-specific models and ethical guidelines.
research Coat color and other factors influencing hair cortisol concentration in domestic cats
Black hair in cats has higher cortisol levels than white hair.
research In Vivo Non-Invasive Observation of Dynamic Changes in Hair Shaft, Melanin, and Collagen During the C57BL/6 Follicle Cycle
Non-invasive methods can effectively monitor hair growth cycles, aiding hair loss treatment development.
research Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
research The Relationship Between Depression Levels and Suicide Risk in Pediatric Patients with Alopecia Areata and the Oxidant-Antioxidant Balance
Oxidative stress may play a role in alopecia areata, but depression and suicide risk are similar to healthy peers.
research Risk assessment of the top 60 drugs for drug-related sexual dysfunction: a disproportion analysis from the Food and Drug Administration adverse event reporting system
Finasteride, dutasteride, and silodosin have the highest risk for causing sexual dysfunction.
research Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
The LTF gene may help predict and manage nonspecific orbital inflammation.
research Circulating MicroRNA Signatures in Severe Alopecia Areata: Diagnostic Discrimination, Pathway Analysis, and Therapeutic Implications
Specific miRNA profiles can help diagnose and treat alopecia areata.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research Genomic Portraiture: The Science and Ethics of DNA Phenotyping in Identity Prediction
DNA phenotyping can predict physical traits like eye, hair, and skin color, improving forensic investigations.
research Identification and single-cell analysis of prognostic genes related to mitochondrial and neutrophil extracellular traps in bladder cancer
Six key genes can predict bladder cancer outcomes and may serve as prognostic biomarkers.
research Evaluation of NF-κB as a Novel Serum Biomarker in Androgenetic Alopecia Patients: A Case–Control Study
NF-κB levels can help diagnose and assess the severity of androgenetic alopecia.
research Translation, cultural adaptation and validation of the Brazilian version of the Alopecia Areata Quality of Life Index (AA-QLI-BRA)
The Brazilian version of the Alopecia Areata Quality of Life Index is reliable for assessing patients' quality of life.
research Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
Naive Bayes algorithm can help predict hair loss risk early.
research AI06 ALUDWIG: an automated artificial intelligence-based assessment of female androgenic alopecia
ALUDWIG can help standardize female hair loss assessment from a single image.
research BH20 A multicentre analysis of the adequacy of alopecia horizontal biopsy samples over 10 years
Standardized forms and digital tools can improve alopecia biopsy diagnosis.
research Pigmented Rings With Central Clearing: A Dermoscopic Feature of Melasma
Pigmented rings with central clearing help diagnose melasma more accurately.
research An Analytical Framework for the Selective Extraction and Determination of Nine Multiclass Endocrine-Disrupting Chemicals from Haircare Products
Haircare products may expose users to harmful chemicals despite regulations.
research Unique Dermatological and Systemic Manifestations in a Classic Pediatric Case of Kindler Syndrome: A Case Report and Literature Review
Kindler Syndrome shows diverse symptoms and needs better diagnostic tools and care in resource-limited areas.
research Unique Circulating MicroRNA Signatures Distinguish Severe Alopecia Areata from Other Inflammatory Skin Diseases
Unique microRNA patterns can help diagnose and treat severe alopecia areata.
research Abstracts from the 2024 WDS Forum - virtual option
5-alpha reductase inhibitors and spironolactone don't increase gynecological tumor risk, glucagon-like-peptide-1 receptor agonists may increase alopecia risk, sanitary pads can cause dermatitis, early hidradenitis suppurativa intervention is crucial for Hispanic patients, community education boosts skin cancer awareness, metformin may improve skin cancer survival, LNG-IUDs can increase acne risk, machine learning accurately detects basal cell carcinoma, JAK-inhibitors may raise miscarriage risk, inclusive skincare ads affect those with darker skin, and CCCA in Black women might involve autoimmunity.
research LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
Inflammatory diets may increase the risk and severity of alopecia areata.
research An Automatic AI‐Based Algorithm That Grades the Scalp Surface Exfoliating Process From Video Imaging. Application to Dandruff Severity and Its Validation on Subjects of Different Ages and Ethnicities
The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
research Assessment of miR-19b-3p, miR-182-5p, and miR-155-5p expression and its relationship with alopecia areata severity
miR-155-5p can help diagnose and track alopecia areata severity.
research A Survey on Robotic Surgery and Autonomous Systems in Modern Medicine including Neonatal Surgical Innovations
Robotic surgery and AI improve precision and recovery in medicine but face cost and training challenges.
research Demonstrating the potential of untargeted hair proteomics for personalized biomarkers in stress-associated disorders
Hair proteomics could be a promising non-invasive way to identify stress-related disorders.
research Advancing Hair Regrowth Assessment: Development and Standardization of Methods for Evaluating New Hair Growth, Hair Keratin Levels, and Scalp Health in Androgenetic Alopecia Patients
New methods reliably assess hair regrowth and scalp health in hair loss patients.