research Congress abstracts SPEDM
The Bethesda system is effective for identifying thyroid cancer but has low sensitivity.
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480-510 / 1000+ resultsresearch A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
research KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
research Extensive review on the analytical methods for the estimation of Thuja occidentalis homeopathic mother tincture
Different ways to measure the concentration of Thuja occidentalis in homeopathic solutions were examined.
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 Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research A delação premiada na legislação brasileira
Hair density is better measured by counting hairs over 40 microns thick.
research Scattering from Elliptical Hair Fibers Based on Microfacet Theory
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 An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research Hair Fall Count 60-second: Clinic-Based Modified Count Versus Home-Based Count
The clinic-based hair fall count method is accurate and reliable.
research Combination Therapies and the Theoretical Limits of Evidence-Based Medicine
The current system can't fully test all combination treatments, so alternative methods and regulatory flexibility are needed.
research Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness
Researchers found 63 genes linked to male-pattern baldness, which could help in understanding its biology and developing new treatments.
research A machine learning and network framework to discover new indications for small molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
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 The mind-body problem; three equations and one solution represented by immaterial-material data
The mind and body don't directly interact; the mind acts as an interface linking abstract and physical data.
research Método para avaliação quantitativa da eficácia de tratamentos para queda de cabelo mediante análise de imagens: estudo preliminar
The method is effective for evaluating hair loss treatments quickly and affordably.
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 Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing
Low-coverage sequencing is a cost-effective way to find genetic factors affecting rabbit wool traits.
research Faculty Opinions recommendation of A new classification of pattern hair loss that is universal for men and women: basic and specific (BASP) classification.
The BASP classification is a detailed system for categorizing hair loss in both men and women, but it may be complex for beginners and not fully suitable for grading female hair loss.
research Development of an improved method to estimate the days of continuous drug ingestion, based on the micro‐segmental hair analysis
Researchers improved a method to more accurately estimate when and how long a drug was taken using hair analysis.
research Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
research A Simple Decision Tree Suited for Identification of Early Oral Drug Candidates With Likely Pharmacokinetic Nonlinearity by Intestinal CYP3A Saturation
The decision tree can predict drug absorption issues with good accuracy but needs more validation and adjustments for other factors.
research A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
Machine learning can accurately predict mental disorders.
research Commentary
A new hair transplant method combines individual and group follicles for better results and efficiency.
research Validation and clinical relevance of a novel scalp coverage scoring method
The new scalp coverage scoring method accurately measures hair loss and growth in men.
research The pathogenesis model research of alopecia areata: from animal experiments to mathematical prediction models
Animal and mathematical models help understand and develop treatments for alopecia areata.
research A use-and-transformation model for evaluating public R&D: Illustrations from polycystic ovarian syndrome (PCOS) research
The document suggests a new model for evaluating public research that better captures the full value of knowledge creation and use, using PCOS research as an example.
research Reliability of the Estimation of the Take of Split Thickness Graft by the Observation Method
The traditional method of estimating skin graft success by looking is generally reliable but less so for inexperienced observers and in certain wound conditions.