In this QCast episode, Jullia and Tom unpack how machine learning is being applied across the pharmaceutical industry. They discuss what machine learning means in a regulated drug development context, where it is already supporting discovery, development, and trial operations, and how teams can use these methods responsibly without undermining scientific or regulatory confidence. Key Takeaways Understand how machine learning differs from traditional statistical approaches, and why it is parti...
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In this QCast episode, Jullia and Tom unpack how machine learning is being applied across the pharmaceutical industry. They discuss what machine learning means in a regulated drug development context, where it is already supporting discovery, development, and trial operations, and how teams can use these methods responsibly without undermining scientific or regulatory confidence. Key Takeaways Understand how machine learning differs from traditional statistical approaches, and why it is parti...
Episode 8: The Database Lock Process in Clinical Trials
QCast: Data-Driven Dialogue in Drug Development
11 minutes
4 months ago
Episode 8: The Database Lock Process in Clinical Trials
In this QCast episode, join co-hosts Jullia and Tom as they unpack the database lock process in clinical trials. You’ll get a clear explanation of what a lock is, why it matters, and the difference between soft and hard locks. They’ll walk through the planning steps that keep the final weeks on track, the habits that reduce last-minute issues, and the cross-functional coordination needed to reach lock on time. Key Takeaways Database lock is a formal milestone where the trial dataset becomes c...
QCast: Data-Driven Dialogue in Drug Development
In this QCast episode, Jullia and Tom unpack how machine learning is being applied across the pharmaceutical industry. They discuss what machine learning means in a regulated drug development context, where it is already supporting discovery, development, and trial operations, and how teams can use these methods responsibly without undermining scientific or regulatory confidence. Key Takeaways Understand how machine learning differs from traditional statistical approaches, and why it is parti...
