research Scalp disease analysis using deep learning models
Deep learning models can analyze scalp diseases effectively.
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120-150 / 1000+ results research Indian Medicinal Herbs and Formulations for Alzheimer’s Disease, from Traditional Knowledge to Scientific Assessment
Indian herbs like Bacopa monnieri and Centella asiatica may help memory, but more research is needed.
research Therapeutics for COVID-19 and post COVID-19 complications: An update
New treatments for COVID-19 show promise, but more effective antiviral drugs are needed.
research Effects of lifelong testosterone exposure on health and disease using Mendelian randomization
Higher testosterone levels can increase the risk of certain diseases like type 2 diabetes in women and prostate cancer in men, but can also protect against autoimmune diseases and hair loss. It also affects body fat and bone density.
research Effectiveness of Platelet-Rich Plasma for Patients With Carpal Tunnel Syndrome: A Systematic Review and meta-Analysis of Current Evidence in Randomized Controlled Trials
PRP injections help with carpal tunnel symptoms short-term, but more research is needed for long-term effects.
research Selection signatures for fiber production in commercial species: A review
Genomic research can help improve the quality and production of natural fibers in animals.
research Platelet lysate promotes hair growth: In vitro and in vivo mechanism and randomized, controlled trial
Platelet lysate effectively promotes hair growth and improves hair thickness in people with androgenetic alopecia.
research CROSS-META-ANALYSIS ON POLICOSANOL BIOREFINING: AN INNOVATIVE TECHNOLOGY PROSPECTING PROTOCOL WITH IBERO-AMERICAN INSIGHTS
Policosanol biorefining shows promise for heart health, needing better academic-industrial collaboration.
research (7E)-7,8-Dehydroheliobuphthalmin from Platycladus orientalis L.: Isolation, Characterization, and Hair Growth Promotion
DHHB from Platycladus orientalis L. promotes hair growth and could be a natural alternative to current treatments.
research LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
Inflammatory diets may increase the risk and severity of alopecia areata.
research Subject Index
research Bayesian measurement-error-driven hidden Markov regression model for calibrating the effect of covariates on multistate outcomes: Application to androgenetic alopecia
Model improves accuracy in predicting hair loss effects.
research Efficacy comparison of monotherapies and combination therapies for androgenetic alopecia: A Bayesian networkmeta‐analysis
Combination therapies are more effective for treating androgenetic alopecia than single treatments.
research Bayesian Hidden Markov Modelling of Blood Type Distribution for Covid-19 Cases Using Poisson Distribution
Blood type affects COVID-19 infection rates differently in Europe and Africa.
research A Hierarchical Bayesian Hidden Markov Model for Multi-Dimensional Discrete Data
Non-denatured soybean extracts are effective for skin care, offering skin lightening, anti-aging, and UV protection benefits.
research Supplementary Material for: A SYSTEMATIC REVIEW AND BAYESIAN NETWORK META-ANALYSIS OF MEDICAL THERAPIES FOR LICHEN PLANOPILARIS.
Triple therapy with clobetasol, hydroxychloroquine, and N-acetylcysteine is recommended for better outcomes in treating lichen planopilaris.
research Comparative efficacy of oral Janus kinase inhibitors and biologics in adult alopecia areata: A systematic review and Bayesian network meta‐analysis
Baricitinib is the most effective treatment for alopecia areata.
research Testing the impact of trait prevalence priors in Bayesian-based genetic prediction modeling of human appearance traits
Using trait prevalence priors in genetic prediction models for appearance traits is currently impractical due to limited knowledge and potential accuracy issues.
research Age-specific cut-off levels of anti-Müllerian hormone can be used as diagnostic markers for polycystic ovary syndrome
Different levels of anti-Müllerian hormone can help diagnose polycystic ovary syndrome in women of different ages.
research Evaluating statistics in clinical trials: Making the unintelligible intelligible
Doctors need to understand statistics to properly evaluate clinical trials for patient care.
research The comparative effectiveness of prescription and selected alternative therapies for pattern hair loss: protocol for a multiple treatment comparison meta-analysis
Prescription and alternative therapies for hair loss will be compared for effectiveness.
research The impact of monotherapies for male androgenetic alopecia: A network meta‐analysis study
"Dutasteride 0.5 mg daily is the most effective treatment for male hair loss."
research The impact of therapies for male pattern baldness: protocol for a network meta-analysis study
The study aims to find the most effective treatments for male pattern baldness.
research Comparative efficacy and safety of JAK inhibitors in the treatment of moderate-to-severe alopecia areata: a systematic review and network meta-analysis
Brepocitinib 30mg is most effective for moderate-to-severe alopecia areata, but ritlecitinib 50mg may offer a better balance of safety and effectiveness.
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 The Effects of the Chemical Relaxer Lye on Hair Cortisol Concentrations
Lye relaxers don't significantly change hair cortisol levels.
research Select the most correct answers – multiple answers possible for questions 1–11
Medical practitioners need to understand basic statistics to properly evaluate clinical trials and avoid unethical designs.
research Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
Naive Bayes algorithm can help predict hair loss risk early.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Post-marketing safety profile of cladribine in multiple sclerosis: a disproportionality analysis based on the FDA adverse event reporting system
Cladribine has known risks and potential new safety concerns, requiring careful monitoring.