Aggregated News
Most clinical trials, as well as large observational studies, now perform an elaborate set of statistical adjustments to account for the impact of key cohort characteristics such as age, gender, and race/ethnicity on study outcomes. Despite these sophisticated analyses, it is still uncertain whether these characteristics can accurately predict treatment response in an individual patient. While age and gender are strongly associated with biological differences that may have a significant impact on disease susceptibility and treatment response—and are thus carefully controlled for, sometimes by excluding certain groups such...