research Development and Validation of a Dermoscopic Severity Score for Female Pattern Hair Loss
A reliable severity score for female pattern hair loss was developed and validated.
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480-510 / 1000+ resultsresearch 129 Utilizing Polygenic score in predicting the disease activity and arthritis in psoriasis patients
Polygenic Score can help predict severe psoriasis and psoriatic arthritis.
research Reliability of the pattern hair loss classifications: A comparison of the basic and specific and N orwood–H amilton classifications
The BASP classification is more reliable than the Norwood-Hamilton for classifying hair loss in men and women.
research Highly Prevalent LIPH Founder Mutations Causing Autosomal Recessive Woolly Hair/Hypotrichosis in Japan and the Genotype/Phenotype Correlations
LIPH mutations in Japan cause varying degrees of hair loss and woolly hair.
research Expert Consensus on Big Data Collection of Skin and Appendage Disease Phenotypes in Chinese
research What do users in a polycystic ovary syndrome (PCOS) forum think about the treatments they tried: Analysing treatment sentiment using machine learning
PCOS forum users view lifestyle changes and supplements positively, but have mixed feelings about contraceptive pills.
research Progressive Hair Loss and Myocardial Degeneration in Rough Coat Mice: Reduced Lysyl Oxidase-Like (LOXL) in the Skin and Heart
The gene causing hair loss and heart issues in rough coat mice is still unknown.
research rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimation
rwSALT accurately measures hair regrowth in alopecia areata using scalp photos.
research A cross‐sectional study of hair parameters in the occipital region of male pattern hair loss
Severe male pattern hair loss is linked to lower hair density in the back of the head.
research Can we predict prostate size by scoring baldness? The relationship of androgenic alopecia and lower urinary tract symptoms
research Genetic Prediction of Male Pattern Baldness
Genetic factors can predict male pattern baldness risk.
research Investigation of the association of the MLPH gene with seasonal canine flank alopecia in Rhodesian Ridgeback dogs
The MLPH gene is not linked to seasonal hair loss in Rhodesian Ridgeback dogs.
research Classification of male-pattern hair loss
No current system perfectly classifies male-pattern hair loss, indicating a need for a new system for better diagnosis and treatment.
research Association between the D19S884 marker at the insulin receptor gene locus and polycystic ovary syndrome
There's no significant link between the D19S884 marker at the insulin receptor gene and polycystic ovary syndrome.
research Gene trajectory inference for single-cell data by optimal transport metrics
research A CROSS SECTIONAL DESCRIPTIVE STUDY TO INVESTIGATE THE PATTERN AND GRADING OF FEMALE PATTERN HAIR LOSS IN POLYCYSTIC OVARIAN SYNDROME PATIENTS.
12.5% of women with PCOS experience moderate hair loss, highlighting the need for early detection and management.
research Utilising SNP Association Analysis as a Prospective Approach for Personalising Androgenetic Alopecia Treatment
Genetic factors could lead to personalized treatments for hair loss.
research 176 The Prospective Cutaneous Lymphoma International Prognostic Index (PROCLIPI) Study identifies clinical prognostic markers and establishes the foundation for large-scale translational research in cutaneous lymphoma
The PROCLIPI study found markers that help predict outcomes in skin lymphoma patients.
research Polygenic risk score predicting susceptibility and outcome of benign prostatic hyperplasia in the Han Chinese
A higher genetic risk score increases the chance of getting benign prostatic hyperplasia and affects treatment outcomes in Han Chinese men.
research Alopecia areata: Multivariate analysis for predicting its clinical course
Certain factors like patchy hair loss at the back of the head, being female, and younger age at diagnosis can lead to a worse outcome for alopecia areata.
research Causal Effects of Lipids-Related Metabolites on Androgenic Alopecia: A Mendelian Randomization Study
Certain fats in the blood are linked to an increased risk of male pattern baldness.
research Low-dose oral minoxidil in a case of short anagen syndrome
Low-dose oral minoxidil improved hair growth in a woman with short anagen syndrome.
research Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
research Clinical Analysis of 1,360 Patients Presenting with Male Pattern Hair Loss
Male pattern hair loss is diagnosed and treated earlier and is milder, possibly due to early puberty.
research Validation of Chinese Version of Polycystic Ovary Syndrome Health-Related Quality of Life Questionnaire (Chi-PCOSQ)
The Chi-PCOSQ is effective for assessing health-related quality of life in Chinese women with PCOS.
research Clinical-Exome Sequencing Unveils the Genetic Landscape of Polycystic Ovarian Syndrome (PCOS) Focusing on Lean and Obese Phenotypes: Implications for Cost-Effective Diagnosis and Personalized Treatment
Young women in West Bengal, India, with PCOS often have estrogen resistance, leptin receptor issues, folate deficiency, T2DM, and acanthosis, commonly linked to obesity.
research Case of autosomal recessive woolly hair/hypotrichosis with compound heterozygous mutations in the LIPH gene at c.742C > A and c.614A > G: The first Japanese case
The first Japanese case of a genetic hair disorder caused by specific mutations in the LIPH gene was identified.
research Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
Naive Bayes algorithm can help predict hair loss risk early.
research The Progressive Loss Risk Scale for Hair Restoration Surgery
The Progressive Loss Risk Scale is a system that shows the long-term risks of hair restoration surgery, which can change based on factors like age and transplant area.
research Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms
Researchers found four genes that could help diagnose severe alopecia areata early.