In an AI hype-filled biopharma industry, one company is taking a back-to-basics yet supercomputer-powered approach — using Bayesian analysis on massive patient datasets to guide drug discovery. The company crunches trillions of data points per patient. “It’s massive, which is why we use a supercomputer,” said Niven R. Narain, Ph.D., BPGbio CEO. The company has…
The role of the democratized research network in optimizing precision dosing
Historically, healthcare organizations have followed the lead of published research on the efficacy of pharmacokinetic (PK) models to support point-of-care precision dosing. When a respected journal publishes a robust, peer-validated PK model analysis, clinicians often heed the results and accept that model as their organization’s default for the drug in question. However, new research shows…