QCast Episode 12: AI and Automation in Clinical Data Management
In this episode, Jullia and Tom explain how AI and automation make clinical data management work smoother, from smarter screening to faster reports.
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QCast Episode 11: A Guide to Virtual Clinical Trials
In this episode, Jullia and Tom unpack what virtual clinical trials mean in practice and where they sit between site-based and decentralised designs.
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QCast Episode 10: Managing Clinical Data Challenges with a DSMB
In this episode, Jullia and Tom explore how Data and Safety Monitoring Boards (DSMBs) safeguard participants and keep studies on course.
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QCast Episode 9: Randomisation in Clinical Trials
In this episode, Jullia and Tom explore randomisation in clinical trials including why it matters, key methods, and how to keep allocations consistent.
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QCast Episode 8: The Database Lock in Clinical Trials
In this episode, Jullia and Tom break down the database lock process in clinical trials–what it is, why it matters, and how to avoid last-minute chaos.
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QCast Episode 7: A Guide to Phase 1 Clinical Trial Design
In this episode, Jullia and Tom unpack Phase 1 clinical trial designs, the first-in-human studies that establish safety, pharmacokinetics and tolerability.
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QCast Episode 6: The ALCOA++ Principles for Data Integrity in Clinical Trials
In this episode, Jullia and Tom explore the ALCOA++ Principles, the core attributes that safeguard data integrity in clinical trials from first observation to final archive.
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QCast Episode 5: CDISC Standards in Clinical Research
In this episode, Jullia and Tom unpack CDISC standards in clinical research, exploring content models, exchange formats, and how to streamline your trials.
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QCast Episode 4: BOIN Design in Clinical Trials
In this QCast episode, Jullia and Tom unpack BOIN design, a model-assisted approach that's redefining early-phase dose-finding in oncology studies.
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QCast Episode 3: Complex Innovative Trial Designs
In this episode, Jullia and Tom unpack Complex Innovative Trial Designs (CIDs), exploring how adaptive and Bayesian methods are transforming clinical research.
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