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Interview series: Part 1 of 5 - Rethinking site activation to cut startup timelines
How contract standardisation, proactive budget alignment, and AI-enabled negotiation tools can reduce site activation delays and turn agreements into strategic accelerators.
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Interview series: Part 2 of 5 - Closing communication gaps during study startup
Why persistent communication breakdowns between sponsors, CROs, and sites undermine startup efficiency—and how bidirectional, site-informed engagement models can improve collaboration and momentum.
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Interview series: Part 3 of 5 - Applying AI to reduce administrative burden without losing the human touch
How practical AI applications can streamline contracts and startup workflows while preserving the central role of investigators, site staff, and patient relationships.
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Interview series: part 4 of 5 - Why startup timelines are worsening – and how to reduce the trend
The operational pressures driving longer activation timelines, from protocol complexity to site competition, and how earlier, more flexible site engagement can restore momentum.
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Interview series: Part 5 of 5 - Centering site experience to accelerate site activation
How sponsor and CRO practices that prioritise site needs, clarity, and partnership can strengthen trust, sustain momentum, and speed activation.
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Examining the growing delays in clinical trial start-up
Brian Mallon discusses the increasing timeframe from site selection to full activation, including the issues contributing to the delay and measures to address them.
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The CRA role’s co-evolution with clinical trial technology
As clinical trials become more complex, the role of the CRA is evolving from site monitor to strategic, digitally fluent partner, requiring expertise in hybrid oversight, risk-based monitoring, and multi-system data management.
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Bold moves
CRAs are at the centre of clinical trial evolution. Risk-based monitoring, intelligent oversight tools and AI are changing how trials are managed. ICON explores what this means for the future in Pharma Times.
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Regulatory strategy reimagined: Three trends accelerating drug development
The regulatory landscape is being rewritten. The future belongs to those who anticipate, adapt and act with purpose. In this article we look at 3 macro trends that are redefining regulatory strategy.
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Precision medicine meets machine learning: AI and oncology biomarkers
AI is redefining oncology biomarker discovery, unlocking new precision in patient selection and trial design. Explore how this evolving technology is shaping the future of cancer drug development.