research MARFATIA AWARD
The screening method effectively predicts psychosis, valproate use is linked to hair loss, and IDEAS is valid for assessing mental disorder disability.
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research Enhancing Evidence-Based Pharmacy by Comparing the Quality of Web-Based Information Sources to the EVInews Database: Randomized Controlled Trial With German Community Pharmacists
The EVInews database provides significantly higher quality information than web-based sources for pharmacists.
research A Patient Preference-Weighted Quantitative Benefit-Risk Analysis of Ritlecitinib for Alopecia Areata to Inform Medical Decision Making
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 Association Between Male Androgenetic Alopecia and Metabolic Syndrome: Systematic Review and Meta-analysis
Balding men are more likely to have metabolic syndrome.
research QSAR Analysis of a Series of Hydantoin‐based Androgen Receptor Modulators and Corresponding Binding Affinities
Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.
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 Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
research Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models
Mitochondrial genes help predict breast cancer outcomes and spread.
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 From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research
AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
research Candidate SNP markers of reproductive potential are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters
Certain genetic markers linked to reproductive potential were identified by their impact on a protein's ability to bind to genes.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research 516 Functional annotation of genes underlying hair disorders
The study identified key genes and pathways linked to hair disorders, aiding precision medicine.
research Evidence summary and critical appraisal of studies on the effectiveness and safety of non-conventional treatments for male androgenetic alopecia: a protocol for a systematic review
research AnnoPharma: Detection of substances responsible of ADR by annotating and extracting information from MEDLINE abstracts
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
research Broad laboratory testing does not show utility for telogen effluvium: a retrospective analysis of 22-million laboratory results using TriNetX
research Causal Relationship Between Blood Metabolomics and Female Pattern Hair Loss: A Bidirectional Mendelian Randomization Study
Certain blood metabolites are linked to female pattern hair loss, with some increasing risk and others offering protection.
research RETRACTED: Genetic causality and metabolite pathway identifying the relationship of blood metabolites and psoriasis
research Editorial for issue 3 of 2012, Journal of Evidence Based Medicine
The issue discussed China's research contributions, systematic review improvements, and featured various medical studies and trials.
research Identification of Key Genes and Signaling Pathways in Male Androgenetic Alopecia by Bioinformatics Analysis
Found key genes affecting hair loss, immune response, and skin development; more research needed for better treatments.
research Fronteggiare l’inaffidabilità della letteratura da studi clinici
Public health decisions should rely on independent trials, not biased literature.
research Botulinum toxin effects on biochemical biomarkers related to inflammation-associated head and neck chronic conditions : a systematic review of clinical research
Botulinum toxin may reduce inflammation markers in head and neck conditions, but evidence is uncertain.
research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
research Association Between Androgenic Alopecia and Schizophrenia: A Bidirectional Mendelian Randomization Study
Androgenetic alopecia may cause schizophrenia, but schizophrenia does not cause androgenetic alopecia.
research A guide for building biological pathways along with two case studies: hair and breast development
The document explains how to create detailed biological pathways using genomic data and tools, with examples of hair and breast development.
research Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study
A machine-learning test using hair can help detect autism early in infants.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.