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Two non-steroidal antiandrogens, RU 58841 and RU 56187, form a common metabolite at different rates, which may influence their effects; RU 56187 could be used for prostate cancer treatment and RU 58841 for acne treatment.

People with more knowledge about their hair loss condition and those who see it as a serious issue are more likely to seek treatment.

Recombinant keratin materials may better promote skin cell differentiation than natural keratin.

Polygenic risk scores can predict the risk and outcomes of benign prostatic hyperplasia.

A higher genetic risk score increases the chance of getting benign prostatic hyperplasia and affects treatment outcomes in Han Chinese men.

The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.

Polygenic Score can help predict severe psoriasis and psoriatic arthritis.

Using trait prevalence priors in genetic prediction models for appearance traits is currently impractical due to limited knowledge and potential accuracy issues.

C-scores can help predict gain-of-function and loss-of-function mutations.

DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.

Certain genetic markers linked to reproductive potential were identified by their impact on a protein's ability to bind to genes.

The new method improves SNP analysis in genetic studies by combining tests, enhancing accuracy and cost-effectiveness.

Recent selection on immune response genes was identified across seven ethnicities.

New method finds genetic links between Type 2 Diabetes and Prostate Cancer not seen before.

Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.

Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.

The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.

Case-only trees and random forests improve predictions of treatment effects in clinical trials.

AI improves accuracy and consistency in diagnosing male pattern hair loss.

Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.

Machine learning can effectively predict type 2 diabetes risk.

Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.

Drug repurposing can speed up and reduce costs in drug discovery, especially for cancer treatment.

The method improved hair analysis for better forensic identification.

The project aimed to understand how genetic test results affect patients' actions and feelings in dermatology.

The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.