text: Yo, listen up, I got some facts to share
  'Bout hepatocellular carcinoma, it's a cancer nightmare
  In the US, it's growin' fast, survivin' is tough
  Early detection's a challenge, that's the truth, it's rough
  
  See, HCC is diverse, it's all over the place
  Multiple biomarkers needed to ace the race
  So this study brought the heat, used machine learnin'
  Random forest technique, yeah, they were discernin'
  
  They came up with two models, so fly and new
  Fixed sequential and two-step, they proved true
  Compared 'em with logistic regression and CART
  To combine urine DNA biomarkers, playin' it smart
  
  They gathered data from HCC and non-HCC folks
  With hepatitis and cirrhosis, no jokes
  Through cross-validation, they measured the game
  Sensitivity, specificity, and the curve's fame
  
  RF and TS, they took the lead
  Accuracy and stability, they indeed exceed
  90% specificity, that's real tight
  Sensitivity at 86% and 87%, they shine bright
  
  Outperformin' LR, no doubt about it
  15% more sensitivity, they flippin' it
  10% higher specificity, they runnin' the show
  In cross-validation, they steal the glow
  
  RF and TS got potential, they got the fire
  Buildin' a panel of biomarkers, takin' it higher
  Self-trainin', cloud-based models, the future's bright
  For HCC screenin', they bringin' the light