Cell Therapy Manufacturing Hurdles Could Be Solved Through AI; ‘Great Advancements’ In Next 10 Years

Artificial intelligence could be the solution to some of the process challenges with cell therapies; CBER Director Marks also suggests AI to identify safety issues with a particular vector.

robot looking at microscope
• Source: Shutterstock

Applying artificial intelligence to biologics manufacturing to solve processing problems “in real time” could help advance the development of cell therapies and remove obstacles that have stymied the field, Center for Biologics Evaluation & Research Peter Marks suggested.

In cell therapies, “we’re in a place where science is advancing very rapidly. We’re on the cusp of addressing certain...

Read the full article – start your free trial today!

Join thousands of industry professionals who rely on Pink Sheet for daily insights

  • Start your 7-day free trial
  • Explore trusted news, analysis, and insights
  • Access comprehensive global coverage
  • Enjoy instant access – no credit card required

More from AI

US FDA’s Elsa AI Platform Is Not Guiding Regulatory Decisions, Official Says

 
• By 

Tala Fakhouri said the agency’s use of the AI tool in the review process has generated lots of questions.

AI Will Bolster, Not Squelch, Patient Voice In Clinical Research, US FDA Says

 
• By 

Artificial intelligence tools used for clinical research should be developed with input from patients and focus on their needs and abilities, FDA experts said.

Profit-Sharing AI Model Proposed To Boost Korean Drug R&D

 
• By 

A differentiated profit-sharing model to accelerate the use of AI in drug development using clinical and patient data is being proposed in South Korea, but the idea faces multiple practical challenges

Orphan Drug Trial Sponsors ‘Playing Catch-Up’ With Regulators – But Automation Can Help

 

Clinical trial sponsors in the rare disease space face “big safety demands” from regulators, which can be challenging for those with limited resources. A CRO founder makes the case for “embedding automation” into the clinical trial process to keep pace with regulatory requirements.

More from Advanced Technologies