The tool shows how the mappings, transformed to jsonata requests can inform the actual creation of the SDTM trial summary datasets TA, TE, TV, TI, and TS. The tool is based on json, jsonata and ...

Pharmacokinetic parameter calculations (Cmax, AUC, Tmax, t½) Concentration-time profile analysis Dose-exposure-response relationships Understanding of NONMEM input data requirements ...

Clinical trials generate tons of data—everything from patient demographics to lab results and adverse events. This data often comes from different sources, making it hard to organize consistently.

The life sciences industry is witnessing a fundamental shift-one that is driven not just by data, but by intelligent automation. Having spent over 17 years working at the intersection of clinical ...