In the News
ICON experts frequently author or contribute to industry trade press.
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Turning an ocean of data into actionable wisdom to support optimal site identification
Travis Caudill, VP Feasibility & Clinical Informatics, offers his insights on how advancements in AI can help the pharmaceutical industry identify the best sites for their clinical trials through the harnessing of Big Data.
Innovations in Pharmaceutical Technology, December 2022, pages 24-25. Samedan Ltd
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Voice enabling participant diary collection powered by AI on AWS – Part 2
Together with Amazon Web Services (AWS), the ICON team worked to understand how to develop voice capabilities in the context of an operational plan to establish a framework that can be extended when demand for Voice in clinical research grows.
By understanding how to develop a private AMAZON VOICE SKILL using ALEXA/LEX framework for eCOAs including ePROs, and documenting future integration points with the ICON Digital Platform (IDP), ICON has completed foundational steps in the implementation of voice capabilities.
This blog outlines considerations for integrating voice-enabled diary data within a clinical trial, and serves as an example of how ICON applies innovation to enable efficient and effective patient participation in clinical research.
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The silent problem: Machine learning model failure - How to diagnose and fix ailing machine learning models
This article considers the current issues around the applicability of Machine Learning Models.
Bennett, M. Balusu, J., Hayes, K., & Klecyzk, E. J., The Silent Problem- Machine Learning Model Failure - How to Diagnose and Fix Ailing Machine Learning Models. Cornell University ArxIV. doi: 10.48550/arXiv.2204.10227
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Will big tech dominate healthcare in the years ahead?
Louisa Roberts, VP of Corporate Development and Partnerships, considers the benefits of partnerships with tech companies.
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The path to smarter digital health
Michael Phillips and Kevin Rooney discuss the use of artificial intelligence for the purposes of automation in digital health and pharma.
This article is taken from Innovations in Pharmaceutical Technology Autumn/Winter 2021, pages 39-41. Samedan Ltd
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Data Science: transforming the future of clinical trials
Gerard Quinn, VP of IT Innovation & Informatics, offers insights on the use of Machine Learning and Artificial Intelligence in clinical trials, and the potential benefits and challenges for CROs and sponsors (pages 16-17).
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AI in Life Sciences – Covid pushes AI driven clinical trials and drug manufacturing into the limelight
ICON’s CIO, Tom Leary discusses the challenges to patient recruitment during the COVID pandemic and how big data, combined with advanced AI algorithms processing has the potential to reduce trial costs.
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Role of data in revolutionising the CRO industry
In a wide-ranging interview with PharmaBoardroom, ICON CIO, Tom O’Leary highlights the role of data in revolutionising the CRO industry and the steps that still need to be taken to better match patients with targeted therapies and improve health outcomes.
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Keeping it Real: Challenges and Benefits of Integrating AI and Machine Learning into Pharma R&D
ICON's CIO Tom O'Leary provides expert commentary on integrating AI and machine learning into Pharma R&D in this January 2020 Bio IT World Article.
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