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In silico approaches can drive drug discovery by speeding up the process, improving compound quality, and reducing in vitro/in vivo testing. This Next-Gen Discovery Workshop will show you how to combine machine learning and PBPK modeling seamlessly to support lead optimization, and candidate selection tasks in innovative ways! This workshop is geared towards computational and medicinal chemists and DMPK scientists.

What you can expect: This workshop will run over 4 weeks. During these 4 weeks attendees can expect a total time commitment of 15 to 20 hours engaging in on-demand content; live virtual sessions; hands-on applications; and implementation of concepts in a “real world” group exercise.