Pharmaceutical manufacturing is being pushed toward a future it wasn’t originally designed for: smaller batches, higher variability, and therapies tailored to individual patients.
In this episode of Data in Biotech, Ross Katz sits down with Jaidev Chakka, Principal Scientist at the University of Mississippi School of Pharmacy, to explore how 3D bioprinting and AI are beginning to close that gap.
Jaidev walks through:
>> How 3D printing enables customized bone scaffolds and regenerative structures that conventional manufacturing can’t easily produce
>> Where AI fits into optimizing print parameters and material performance, not as a black box, but as a control layer
>> How organoids function as micro-organs for testing, modeling, and biological computation
>> Why on-demand, personalized drug manufacturing is promising and operationally hard
>> What real collaboration between data scientists and biopharma researchers actually looks like in practice
The conversation highlights a shift from static manufacturing pipelines to adaptive, data-driven systems, where biology, materials, and computation are tightly coupled.
Listen to the full episode of Data in Biotech:
#DataInBiotech #CorrDyn #3DBioprinting #PharmaManufacturing #PersonalizedMedicine #AIinBiotech