Data Interpretation

TK data gets thrown into reports as a table and a figure. It rarely gets treated as what it actually is — one of the most powerful interpretive tools in your nonclinical program. TK underpins every dose justification and exposure margin calculation you make. Get it right and your NOAEL is bulletproof. Get it wrong and your entire tox package starts to unravel. This issue breaks down the good, the bad, and the ugly of TK profiles.

"No major findings" is one of the most reassuring phrases in nonclinical development — and one of the most dangerous. It describes what wasn't observed. It doesn't interpret what the study actually resolved. Once that phrase enters the conversation, attention shifts, assumptions harden, and questions stop being asked. This issue unpacks why clean studies require more interpretation, not less.

There's a point in nonclinical development where data stop helping a program and start working against it. In toxicology we call this inflection point hormesis — low doses help, high doses harm. The same dynamic applies to data. Early on, data reduce uncertainty. Beyond a certain threshold, they complicate interpretation and replace judgment instead of supporting it. This issue unpacks what happens when data accumulation crosses its toxic threshold.