text: Yo, check it out, I got a study to spit,
  Comparin' algorithms that predict the phenytoin hit.
  Neurosurgery patients, fifty in the mix,
  Measurin' serum concentrations, that's the fix.
  
  They used a mass-balance algorithm, first in line,
  Predictin' non-steady-state, they were tryin' to shine.
  Phenda, the Bayesian regression program, in the race,
  To see which one could keep up with the pace.
  
  Patients had two initial phenytoin levels, no joke,
  Sixty hours apart, after IV doses spoke.
  Second level not more than twice, not less than half,
  Third or final measurement, they had to have.
  
  Calculatin' maximum metabolism rates, that's the goal,
  Using the algorithm, two levels takin' control.
  Predictin' the third concentration, that's the aim,
  Phenda's turn now, to step up in the game.
  
  Demographics, dosages, concentrations all in the mix,
  Entered into Phenda to predict the phenytoin fix.
  Sheiner and Beal's method, to evaluate the two,
  See which one's predictions would hold true.
  
  Forty-eight patients, fifty observations they'd see,
  Evaluatin' the algorithms, which one would be free?
  Mass-balance algorithm, positive prediction bias of 2.52 mg/L,
  Precision error 5.08 mg/L, numbers that excel.
  
  Phenda, not far behind, with 2.30 and 5.30,
  Their results were tight, no need to worry.
  No significant difference, between the two they found,
  In predictin' phenytoin concentrations, holdin' the ground.
  
  So there you have it, the study is complete,
  Both algorithms show promise, no need to retreat.
  When it comes to predictin' phenytoin levels, they're on par,
  Now let's take this knowledge and raise the bar.