research Uncertainty for HPLC Assay of Finasteride and Content Uniformity in Its Tablets
The method for measuring uncertainty in finasteride tablets is reliable.
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570-600 / 1000+ resultsresearch Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
XGBoost can effectively diagnose PCOS with 87% accuracy.
research Relationship between Illness Behavior and Hair Loss Pattern According to the Basic and Specific (BASP) Classification
The BASP classification helps predict patient behavior and improve treatment for hair loss.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research BJD Editor's Choice
Some Greek melanoma patients have gene mutations linked to increased cancer risk, a new color feature helps diagnose melanoma, the incidence of a skin condition in the Netherlands is rare, and a gene possibly affects male-pattern baldness.
research Reconstructing temporal variation in great ape and other primate diets: A methodological framework for isotope analyses in hair
Stable isotope analysis of hair helps study primate diets over time non-invasively.
research Application of 2-Chloro-7-Nitrobenzo-2-Oxa-1, 3-Diazol (NBDCL) for Spectrophotometric Determination of Finasteride in Pharmaceutical Formulation
A new method using NBD-CL can accurately and precisely measure finasteride in medicine, and could be used regularly for quality control in the industry.
research Hair analysis based on medical history and spatial-temporal data
Hair analysis can provide insights into a person's medical history and location over time.
research A discriminant multi-scale histopathology descriptor using dictionary learning
The new image descriptor helps identify skin cancer structures with good accuracy.
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 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 A Temporal Mathematical Model of Alopecia Areata: Investigating Hair Cycle Dynamics and Disease Progression
The model helps understand alopecia areata and suggests ways to improve treatment by targeting immune issues.
research A proposal for a new design: the exposure–crossover design
The "exposure–crossover design" helps assess individual changes in risk after events like car crashes.
research Animal models for male pattern (androgenetic) alopecia.
The stump-tailed macaque is a good model for studying human hair loss, but it's expensive and hard to find, while rodent models are promising for understanding hair growth and finding new treatments.
research Response
The authors agree they didn't follow the original criteria strictly but found the Ottawa rule effective in all tested patients and suggest it might have wider use.
research The Adapted Classification of Male Pattern Hair Loss Improves Reliability
Adapted classification better assesses male pattern hair loss and its link to heart disease.
research Molecular Morbidity Score–Can MicroRNAs Assess the Burden of Disease?
MicroRNAs could help assess and manage multiple chronic diseases.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.1)"
Reviewers criticized the study for assuming drugs with similar side-effects work the same way and questioned the validity of its findings due to potential biases and data quality issues.
research Androgenetic alopecia in the stump-tailed macaque: an important model for investigating the pathology and antiandrogenic therapy of male-pattern baldnessp
research Prediction of water intake in hair sheep: development of a new model
A new model accurately predicts water intake in hair sheep using dry matter intake.
research DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
research New Insight Into the Immunostaining Method Suitable for the Pilosebaceous Complex Unit
The study found that a one-step antibody method is better than the LSAB method for accurately studying hair follicle structures without false positives.
research Fronteggiare l’inaffidabilità della letteratura da studi clinici
Public health decisions should rely on independent trials, not biased literature.
research A technique for more precise distinction between catagen and telogen human hair follicles ex vivo
Researchers developed a new method using methylene blue staining to more accurately identify the growth stage of human hair follicles.
research Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study
The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
research Enhancing the diagnostic yield of monogenic diabetes in unresolved cases with early-onset hyperglycemia
Combining genetic and physical data improves diagnosis and treatment for early-onset monogenic diabetes.
research เครองมอประมวลผลภาพดจทลสำหรบวดขอมลของเสนผมบนหนงศรษะของผปวยโรคผมบางทางพนธกรรม
The tool accurately measures hair count and size on scalps with 79.45% and 68.19% accuracy, respectively.
research An Evaluation System to Enhance Patient Selection for Alopecia-Reducing Surgery
The evaluation system improved patient selection for hair loss surgery, leading to better results and satisfaction.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.