08/25/2026
Thank you to Davide Bassani and Jeremy Jones for presenting and Dan Scotcher and William Weigel for moderating today's ISSX webinar, "Machine learning models enabling early and high-throughput prediction of ADME properties and pharmacokinetics."
The speakers provided an overview of emerging strategies transforming pharmacokinetic (PK) prediction in modern drug discovery and explored how high-throughput physiologically based pharmacokinetic (HT-PBPK) modelling, combined with machine learning, enables rapid, structure-driven prediction of PK properties, reducing reliance on experimental data in early discovery.
This webinar recording, along with many others, can be found in the ISSX learning center: https://learn.issx.org/webinars