research Alopecia Areata
Alopecia areata causes hair loss and needs personalized care to manage its emotional and social effects.
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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 Non-nutritional rickets: Approach, precision medicine, and outcomes
Early diagnosis and tailored treatment improve outcomes for non-nutritional rickets.
research Diagnostic challenges in determining alopecia areata
Diagnosing alopecia areata is challenging and requires careful examination and various tests to distinguish it from other hair loss types.
research Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
research Use of genetics in the prediction of success in male pattern hair loss therapy and mechanistic studies
Genetics can help tailor treatments for male pattern hair loss, improving outcomes like stabilization or modest regrowth.
research Improved Hidden Markov Algorithm Based on Bayes in Low Dose CT Images
The improved algorithm enhances low-dose CT image quality significantly better than other methods.
research Genetic links between atopy, allergy, and alopecia areata: insights from a Mendelian randomization study
Allergies and atopic conditions may increase the risk of developing alopecia areata.
research Genetic diversity of Armillaria spp. symbiotic with Polyporus umbellatus in China
Different types of Armillaria fungus have a high genetic variety when partnering with Polyporus umbellatus mushrooms in China.
research Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
Naive Bayes algorithm can help predict hair loss risk early.
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 Genetics of Vitiligo: A Review
Vitiligo is influenced by genetics and environment, and combining these factors can improve early detection and prevention.
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.
research Repurposing FDA approved drugs for psoriasis indications through integrated molecular docking, one-SVM algorithm, and molecular dynamics simulation approaches
Pioglitazone, Trimipramine, and Dimetindene may be repurposed to treat psoriasis.
research Trichoscopy for common hair loss diseases: Algorithmic method for diagnosis
The conclusion is that an algorithm using trichoscopy helps diagnose different types of hair loss but may need updates and a biopsy if results are unclear.
research Improving human forensics through advances in genetics, genomics and molecular biology
DNA profiling in forensics has improved, but predicting physical traits and ancestry from DNA has limitations and requires ethical consideration.
research Deciphering the cellular landscape and genetic underpinnings of fiber diameter determined by dermal papilla cells in fine-wool sheep
Dermal papilla cells are key to fine wool growth in sheep.
research Treatments for Dissecting Cellulitis of the Scalp: A Systematic Review and Treatment Algorithm
More research is needed to find the best treatment for dissecting cellulitis of the scalp.
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.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
research Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
Random Forest Regression is best for predicting baldness risk.
research Analysis of the human diseasome using phenotype similarity between common, genetic and infectious diseases
The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
research Metabolic syndrome and the skin: a more than superficial association. Reviewing the association between skin diseases and metabolic syndrome and a clinical decision algorithm for high risk patients
Some skin conditions may indicate metabolic syndrome, which could help with early detection and management of related health issues.
research Characteristics of Androgenetic Alopecia in Asian
Asian hair loss differs from Europeans; consider individual needs and psychological well-being for treatment.
research Why Some Women Look Young for Their Age
Women look young for their age due to larger lips, less sun damage, and genes that prevent gray hair and wrinkles.
research The Rotterdam Study: 2016 objectives and design update
The Rotterdam Study found risk factors for elderly diseases, links between lifestyle and genetics with health conditions, and aimed to explore new areas like DNA methylation and sensory input effects on brain function.
research Apoptosis May Explain the Pharmacological Mode of Action and Adverse Effects of Isotretinoin, Including Teratogenicity
Isotretinoin's effects and side effects, like birth defects and depression, might be due to it causing cell death in various cells.
research Female Pattern Hair Loss and Androgen Excess: A Report From the Multidisciplinary Androgen Excess and PCOS Committee
Use "female pattern hair loss" term, assess androgen excess, treat with minoxidil and other medications if needed.
research Drug repositioning: current approaches and their implications in the precision medicine era
Drug repositioning is becoming more targeted and efficient with new technologies, offering personalized treatment options and growing interest in the field.
research Comparative genome analyses reveal the unique genetic composition and selection signals underlying the phenotypic characteristics of three Chinese domestic goat breeds
Chinese domestic goats have unique genetic traits due to domestication and geographic isolation.