Tag Archives: machine-learning

Nobel prize-winning neural nets and pharmacometrics

As a (mostly) computational scientist, I was excited to see both the Nobel prizes in physics and chemistry being awarded for computational work last week. In particular, the Physics price on Artificial neural networks, a fundamental building block in many … Continue reading

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A guide to running your own simulations (Part 3/5)

A huge aspect of building PK models is simulation, so we can test new scenarios, optimize new dose regimens, and even combine it with a pharmacodynamic (PD) model to build PK-PD models (maybe a future topic? Comment down below). You … Continue reading

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