Kajsa P. Kanebratt

The paper introduces M4 drug discovery, a method that integrates multi-level, multi-timescale, and multi-species data with mechanistic knowledge to predict clinical outcomes of drugs like GLP-1RAs from preclinical data.

This paper integrates GLP-1RA exenatide studies across heterogeneous cell systems to address variability, providing a unified conclusion and predicting inter-study variabilities.

This paper develops a microphysiological system combining pancreas and liver to study diabetes, showing disease phenotypes and therapeutic potential.

The paper develops a computational model of a liver-islet microphysiological system to predict glucose metabolism and translate experimental results to humans.