Episode 7: Data-driven Modeling Approaches to Improve Method Development

Update: 2020-03-27

Description

Pfizer's Dr. Pankaj Aggarwal discusses the use of data-driven modeling to build quality and robustness into analytical methods.

Comments

In Channel

Episode 14: Harness the Power of QbD Principles

2021-09-2330:59

Episode 13: Components of a Successful AQbD Workflow

2021-06-0433:06

Episode 12: Janssen's stepwise approach to AQbD and vaccine development

2021-04-2220:24

Episode 11: Applying AQbD Principles to Vaccine Development

2021-03-2914:56

Episode 10: The Nitrosamine Crisis: Controlling Risk by Leveraging MLCM Principles - Part 3

2020-06-0319:27

Episode 9: The Nitrosamine Crisis: Controlling Risk by Leveraging MLCM Principles - Part 2

2020-05-1826:08

Episode 8: The Nitrosamine Crisis: Controlling Risk by Leveraging MLCM Principles – Part 1

2020-04-2333:13

Episode 7: Data-driven Modeling Approaches to Improve Method Development

2020-03-2727:27

Episode 6: A History of MLCM and How it Will Evolve

2019-11-0541:43

Episode 5: Benefits of Applying Analytical Quality by Design to Enhance Analytical Controls

2019-10-0139:45

Episode 4: Guidance initiatives from the USP and ICH on Method Lifecycle Management

2019-08-1438:48

Episode 3: Verification and transfer of compendial methods

2019-07-0127:04

Episode 2: Mitigating risk and improving drug quality with MLCM

2019-06-1124:43

Episode 1: Advantages of MLCM over traditional approaches

2019-05-0848:19

Trailer: Method Lifecycle Management Podcast

2019-04-1801:05

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#box-pro-ellipsis-176127640905354{-webkit-line-clamp:2;}Episode 7: Data-driven Modeling Approaches to Improve Method Development