Participant-centric study design has advanced, but site-centric execution has not kept pace. In the Journal for Clinical Studies, Brian Mallon examines how unclear expectations, administrative burden and contract delays ...
ICON experts frequently author or contribute to industry trade press.
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AI is already delivering pharma value — and not just in drug discovery
This article highlights how AI is already adding value across pharma beyond headline‑grabbing drug discovery, with ICON leveraging its in‑house and proprietary AI tools—like its One Search site‑selection system, resource forecasting, endpoint strategy analytics, and document management platforms—to improve clinical trial efficiency and address enrollment challenges.
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Harnessing AI and big data in clinical research
The article explores the evolving role of AI and digital technologies in clinical research, highlighting industry trends, adoption challenges, and the potential for improved efficiency, cost reduction, and accelerated drug development.
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AI, Big Data, and Digital Disruption
This article takes a look at ICON's recent digital disruption survey which surveys changing attitudes and challenges in digital innovation for clinical research.
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ICON discusses how AI is changing clinical trial recruitment and diversity
Kathleen Mandziuk, Vice President of eClinical Development & Delivery, offers insights on the persistent challenges of patient recruitment, the revolutionary role of AI and digital tools, and the critical importance of diversity and inclusion.
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AI-powered precision measures: A golden opportunity for clinical research
As the cost of developing new therapies continues to rise, pharma executives must turn to technologies that drive better insights into de-risked investments and produce operational efficiencies. AI-powered digital measures are being developed and validated to better define disease, patients, and drug efficacy.
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AI’s transformative role in drug discovery and development
In the Irish Times Life Sciences and Stem supplement, ICON’s CIO Tom O’Leary discussed AI is transforming drug development across a range of specific use cases, from discovery to clinical trials and post-marketing.
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How AI can manage the risks and costs of postmarketing requirements
Postmarketing requirements (PMRs) for drug development are commonly required to gather data on a product’s longer-term safety, efficacy and optimal use. Carefully applied AI and machine learning offers the potential for better management of PMRs.
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Us and it
This article by Gerard Quinn, Vice President of IT Innovation and Informatics, which appeared in PharmaTimes Magazine, delves into how AI is transforming clinical trials by improving efficiency, accelerating timelines, and enhancing decisions across the clinical development process.
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Streamlining bioprocesses with automation
In this article from BioPharm International, Ronan Fox, Senior Vice President, IT R&D, provides commentary on the evolving role of automation in biopharmaceutical development.
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Human-enabled AI driving enhancements in clinical trial site selection
In this piece from Clinical Trial Vanguard, Travis Caudill, Vice President, Feasibility, Site Identification & Clinical Informatics explores the improvements in site selection that human-enabled AI is delivering.
