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.
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research Prioritizing susceptibility genes for the prognosis of male-pattern baldness with transcriptome-wide association study
Identified genes linked to male-pattern baldness may help develop new treatments.
research Gleason grading controversies: what the chemoprevention trials have taught us
Finasteride reduces prostate cancer risk by 30% without affecting Gleason scores.
research MP09-17 METHYLATION OF SRD5A2 IN THE BLOOD AS A NOVEL BIOMARKER TO PREDICT SENSITIVITY TO 5-ARI TREATMENT
SRD5A2 methylation in blood can predict how well someone will respond to finasteride treatment.
research Social Interest Data as a Proxy for Off-Label Performance-Enhancing Drug Use: Implications and Clinical Considerations
Clinicians should use social and prescription data to track trends in performance-enhancing drug use.
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 Genetic Prediction of Male Pattern Baldness
Genetic factors can predict male pattern baldness risk.
research Dermoscopic Analysis of Patients with and without Poor Prognostic Indicators in Alopecia Areata – A Comparative Study
Certain hair and scalp features indicate a worse outcome in alopecia areata.
research Abstract ED05-04: Presurgical models to effectively screen preventive agents
Presurgical models can effectively and affordably screen cancer prevention agents.
research Hirsutism scoring in polycystic ovary syndrome: concordance between clinicians' and patients' self-scoring
Patients with PCOS tend to score their hirsutism higher than clinicians, making self-scoring less useful for diagnosis.
research Przewidywanie cech wyglądu człowieka na podstawie markerów DNA do celów medyczno-sądowych i kryminalistycznych
DNA markers can predict physical traits for forensic use, but there are ethical and technical challenges.
research FORENSIC DNA PHENOTYPING FOR CRIMINAL IDENTIFICATION
Forensic DNA phenotyping can now predict more physical traits and ancestry from DNA, but further improvements are needed.
research Visually scoring hirsutism
The modified Ferriman-Gallwey method is a useful tool for diagnosing hirsutism.
research BH31 Dermoscopic analysis of patients with and without poor prognostic indicators in alopecia areata: a comparative study
Certain hair and scalp features can predict the severity of alopecia areata.
research Investigating Potential Causal Relationships Between Plasma Protein Ratios and Alopecia Areata: A Bidirectional Mendelian Randomization Study
Higher levels of certain plasma protein ratios may increase the risk of alopecia areata.
research Genomic prediction and genome-wide association studies of morphological traits and distraction index in Korean Sapsaree dogs
Genomic prediction can improve breeding strategies for Korean Sapsaree dogs.
research Integrated edge information and pathway topology for drug-disease associations
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
research 1451 THE ASSOCIATION BETWEEN MALE PATTERN BALDNESS AND SECOND TO FORTH FINGER RATIO WITH PROSTATE CANCER- A PROSPECTIVE COHORT STUDY
Male pattern baldness may predict prostate cancer risk.
research Leveraging Single Nucleotide Polymorphism Profiling for Precision Skin Care: How SNPs Shape Individual Responses in Cosmetic Dermatology
SNP profiling allows personalized skincare treatments for better results and fewer side effects.
research Four-year experience with the preferential derivation care model for multidisciplinary care in patients with psoriasis and psoriatic arthritis
The care model improved timely diagnosis and treatment for psoriasis and psoriatic arthritis.
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 MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genes
MendelVar is a tool that helps identify important genes by combining GWAS data with Mendelian disease information.
research Diagnostic utility of preferentially expressed antigen in melanoma immunohistochemistry in the evaluation of melanomas with a co-existent nevoid melanocytic population: A single-center retrospective cohort study
PRAME helps distinguish between benign and malignant skin cells in most cases.
research Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias
Darker hair may lead to higher cortisol readings, suggesting a need to adjust for hair color in studies.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research The Adapted Classification of Male Pattern Hair Loss Improves Reliability
Adapted classification better assesses male pattern hair loss and its link to heart disease.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
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 High-content drug screening for rare diseases
High-content screening is useful for finding new treatments for rare diseases and has led to FDA-approved drugs.
research Toward a Diagnostic Score in Cushing's Syndrome
The document suggests creating a validated score to diagnose Cushing's Syndrome and considers plasma steroid profiling as a simpler diagnostic method.