research Integrating Biomarkers from Correlation Analysis and Metric Learning for Hair Loss Classification
Combining biomarker analysis and advanced algorithms improves hair loss detection accuracy.
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510-540 / 1000+ results research A delação premiada na legislação brasileira
Hair density is better measured by counting hairs over 40 microns thick.
research Strategy for Generating Blinded Evidence for Single-Arm Trials with External Controls Using Expert Review of Home Video
A new method uses expert reviews of home videos to objectively assess children's developmental milestones in single-arm trials.
research Integrated edge information and pathway topology for drug-disease associations
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
research Piebaldism in tree shrews
research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT ( GATEWAYS ) Scoring of Alopecia Areata
Generative AI tools can accurately score alopecia areata, reducing subjectivity in evaluations.
research Forensic DNA Phenotyping: Male Pattern Baldness: Traditional Review
DNA markers can help predict male pattern baldness, useful in criminal and missing person cases.
research Dodatek A: Model matematyczny AL/RC/ASE. Functional Androgen Axis (FOA) - wersja operacyjna v1.2
The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
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 Congress abstracts SPEDM
The Bethesda system is effective for identifying thyroid cancer but has low sensitivity.
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 Validation of alopecia coding in US claims data among women of childbearing age
The algorithm accurately identified alopecia in women of childbearing age using claims data.
research 701 Rethinking alopecia scores: Correlating measures of hair loss with established photographic scoring systems
The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
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.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.3)"
Reviewers criticized the study's methods and suggested focusing on drug mechanisms instead of repositioning due to social media data quality concerns.
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 An Evaluation System to Enhance Patient Selection for Alopecia-Reducing Surgery
The evaluation system improves patient selection for hair loss surgery, leading to fewer but more successful surgeries.
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 LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
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 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 An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research TOWARDS NOVEL DIAGNOSTIC MARKER BASED ON BREAST ARTERIAL CALCIFICATIONS
Detecting early breast arterial calcifications can help assess cardiovascular disease risk.
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 Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
research A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
Machine learning can accurately predict mental disorders.
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 Prediction of gain-of-function and loss-of-function mutations using Combined Annotation Dependent Depletion (CADD)
C-scores can help predict gain-of-function and loss-of-function mutations.
research The temptation of large numbers
Large databases in research can lead to misleading conclusions due to biases and chance findings; researchers should analyze data more rigorously.
research Clinically relevant skull models and optical measurement method to evaluate programmable hydrocephalus valve tool kit usability
Three skull models were found most useful for testing hydrocephalus valve programming.