research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
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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 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 RP-HPLC METHOD FOR SIMULTANEOUS ESTIMATION OF FINASTERIDE AND TAMSULOSIN IN TABLET FORMULATIONS
A simple, precise method was created for estimating Tamsulosin and Finasteride in medicine using common lab solvents, showing good precision and stability.
research SIMULTANEOUS ESTIMATION OF MINOXIDIL AND FINASTERIDE BY RP-HPLC IN PRESENCE OF SOY LECITHIN EXCIPIENT IN THE LOTION DOSAGE FORM
research Congress abstracts SPEDM
The Bethesda system is effective for identifying thyroid cancer but has low sensitivity.
research Advancing Hair Loss Assessment in Alopecia Areata: The Mathematical Case for Centralised, Standardised Imaging
Centralized imaging provides more accurate and consistent hair loss measurements in alopecia areata.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
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 Mathematical Modeling of Alopecia Areata: Unraveling Hair Cycle Dynamics, Disease Progression, and Treatment Strategies
The model helps understand alopecia areata and suggests better treatment strategies.
research Development and Validation of UV Spectrophotometric Method For The Estimation of Finasteride Drug
A reliable UV method was created to measure finasteride accurately.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Community Detection and Patient Experience Analysis in Reddit Conversations on Janus Kinase Inhibitors using Large Language Models
A few users dominate Reddit discussions on JAK inhibitors, highlighting social media's potential for tracking drug safety but needing expert oversight.
research Modified basic and specific (BASP) classification for pattern hair loss
The modified hair loss classification is more detailed but less user-friendly.
research Genetic and Environmental Factors Affecting Hair Density in East Asian Populations
Age, sex, BMI, menopause, and specific genes affect hair density in East Asians.
research Bias in Hair Cortisol Measures for Psychological Stress: Self vs. Professional Collection
Self-collected hair samples can measure stress but may need adjustments for accuracy.
research JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
research RP-HPLC METHOD FOR SIMULTANEOUS ESTIMATION OF FINASTERIDE AND TAMSULOSIN IN TABLET FORMULATIONS
A reliable method was developed to measure Tamsulosin and Finasteride in tablets accurately.
research A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
research METHOD DEVELOPMENT AND VALIDATION OF UV-SPECTROPHOTOMETRIC ESTIMATION OF FINASTERIDE IN BULK AND PHARMACEUTICAL DOSAGE FORM
A reliable, cost-effective method was developed for accurately measuring finasteride in medicines.
research CSI on steroids
Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.
research Conservation of marine habitats under multiple human uses : Methods, objectives and constraints to optimize a Marine Protected Areas network in the Eastern English Channel
Marxan is better for designing Marine Protected Areas in the Eastern English Channel.
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 Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
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 Budget impact analysis of baricitinib for treatment of alopecia areata: A Saudi hospital perspective
Adding baricitinib will increase costs but offers more treatment options for alopecia areata.
research 201 Pain digital biomarker detecting by epidermal biopotential flexible sensor and AI-based system
A new pain-measuring system using sensors and AI can effectively detect pain in mice, which may help assess pain in humans and develop treatments.
research A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
Machine learning can accurately predict mental disorders.