research Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
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research Vertical vs. transverse sections of scalp biopsy specimens: a pilot study on the comparison of the diagnostic value of two techniques in alopecia
Transverse scalp sections are better for diagnosing non-scarring hair loss, while vertical sections are better for a specific scarring hair loss called lichen planopilaris.
research Incidence of androgenic dermatologic side effects following placement of a levonorgestrel intrauterine device for menorrhagia: A survey-based study
The levonorgestrel intrauterine device for heavy periods may cause acne, hair loss, and excess hair growth.
research Lower urinary tract symptoms and functional ability in older adults: a community-based cross-sectional study
Early detection and treatment of urinary symptoms can help maintain functional ability in older adults.
research Is Baldness Bad for the Heart?
Baldness may be linked to heart disease, but the evidence isn't strong enough to consider it a major risk factor.
research Clinical characteristics, trichoscopy, histopathology and treatment outcomes of frontal fibrosing alopecia in an Asian population: A retro‐prospective cohort study
Asian patients with Frontal Fibrosing Alopecia often lose eyebrow hair and respond well to combined antiandrogen or antimalarial and topical treatments.
research Patient experience in systemic lupus erythematosus: development of novel patient-reported symptom and patient-reported impact measures
New tools were created to help lupus patients report their symptoms and impacts more accurately.
research A discriminant multi-scale histopathology descriptor using dictionary learning
The new image descriptor helps identify skin cancer structures with good accuracy.
research Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
research Frequency and associated factors of hair loss among patients with inflammatory bowel disease
Hair loss is common in IBD patients, and some medications may lower the risk.
research Assessing the role of stressful life events in the induction and recurrence of alopecia areata: A case-control study
Stress can trigger or worsen alopecia areata.
research Effect of camouflaging agents on psychologic well-being: A cross-sectional survey of hair loss patients
Camouflaging agents like hair fibers and wigs significantly improve appearance and self-esteem for most hair loss patients.
research Lack of association between atopic dermatitis severity and worsening during pregnancy: A cross-sectional study
Atopic dermatitis severity doesn't worsen during pregnancy for most women.
research AnnoPharma: Detection of substances responsible of ADR by annotating and extracting information from MEDLINE abstracts
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
research Prevalence of and Risk Factors Associated with Polycystic Ovary Syndrome Among Female University Students of Health Sciences in a Middle Eastern Country
PCOS is common among female health science students, linked to hormonal issues and family history, and early diagnosis is important.
research Hair and Scalp Disease Detection using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
research Alopecia Areata and Season of Onset: A Retrospective Study of 492 Cases
Winter-onset alopecia areata patients are more likely to regrow hair within a year compared to spring-onset patients.
research A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
research Association of frontal fibrosing alopecia and contact allergens in everyday skincare products in Hispanic females: a case-control study
Increased sunscreen use may be linked to frontal fibrosing alopecia in Hispanic females.
research Creating a Survey Instrument for Self-Assessed Menstrual Cycle Characteristics and Androgen Excess
In 2020, a new online survey was made to help identify Polycystic ovary syndrome (PCOS) in women, but it needs some improvements for better understanding and accuracy.
research Neonatal screening in Sweden and disease-causing variants in phenylketonuria, galactosaemia and biotinidase deficiency
The Swedish neonatal screening program effectively detects PKU, galactosaemia, and biotinidase deficiency with low false positives.
research Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research A Demographic and Biochemical Profile of Patients with Premature Graying of Hair (Canities) at a Tertiary Care Centre: A Case–Control Study
Premature graying of hair is more common in males and linked to family history, smoking, hair plucking, and low levels of certain vitamins and minerals.
research Trichoscopic Features, Clinical Correlates, and Risk Prediction in Female Pattern Hair Loss: A Retrospective Case-Control Study
Female pattern hair loss is linked to genetics, family history, and lifestyle factors.
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 CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
research Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
The model accurately identifies hair diseases using deep learning.
research Applying Machine Learning Technique on Registry Data to Assess Factors Associated With In-Hospital Mortality Among STEMI Patients With Hypertension
Age, diabetes, and cardiogenic shock at PCI are key factors linked to in-hospital death in STEMI patients with hypertension.