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Webinar

Practical Method Development for Today’s Analytical Scientist

This webinar series will cover practical applications of retention modeling, software-assisted workflows, and in-silico tools to support faster development, reduced experimental effort, and more robust, QbD-aligned methods.


Wednesdays in March; Register Now

Webinar

合成分子プロセス開発における自律型ラボの実現

武田薬品工業株式会社様では、研究開発におけるデジタル化と自動化に、多大な時間と労力を費やしてきました。(Japanese Webinar)
Webinar

DMTA Innovation at Takeda—Digitalized, AI-Augmented, Autonomous

Discover how Takeda is accelerating chemical process development with AI-enabled high-throughput experimentation (HTE), automation, and integrated hardware/software. Hear real-world success stories of shortening project times from weeks to days; and how technology partnerships are accelerating autonomous, AI-guided workflows in pharmaceutical R&D.
Webinar

Streamline Stability Decisions in Pharmaceutical Development

J. DiMartino, ACD/Labs

This webinar highlights how Luminata® simplifies pharmaceutical stability decisions by integrating forced degradation and APS data. Learn to visualize analytical data, map degradant pathways, and model stability trends for faster, more informed decision-making.
Webinar

How To Be a Spectral Superstar—Structure Verification Made Easy

Learn how you can become a Spectral Superstar, and improve your decision-making process with more efficient analysis of your chemical data!
Webinar

Extract the Value Locked in Your CDS

Watch our webinar on Chromatography Data Systems (CDSs) and learn how to unlock the wealth of data from your CDS.
Webinar

Practical Applications of ICH Q14 Principles to Execute Digital Method Development

A.M. Smith, ACD/Labs

Watch our webinar to learn more about what ICH Q14 guidelines entail and how AutoChrom® can help implement these principles.
Webinar

How to Overcome the Challenges of Analytical Data Management

N. Davies (AstraZeneca), M. Kwasnik (Solvay), G. McGibbon (ACD/Labs)

This webinar presented by The Analytical Scientist features a panel of experts discussing the results of our 2022 Analytical Data Management survey; the challenges related to analytical data that cross organizations and industries; and lessons learned through their own experience.