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FDA and EMA guidance now call for endpoints that capture the full picture of patient well-being, including physical, psychological, and social. If your obesity trials aren't incorporating this multidimensional approach, ...
In the News
ICON experts frequently author or contribute to industry trade press.
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AI In Clinical Research: Now And Beyond
In this piece from Forbes, Dr. Greg Licholai, Chief Medical and Chief Innovation Officer talks about recent developments, regulatory considerations, and the promising future of AI in clinical research are reshaping the landscape of drug development and patient care.
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AI is game changer for toughest areas of drug discovery
In this piece from Forbes, Dr. Greg Licholai, Chief Medical and Chief Innovation Officer talks about how, with proper use, AI can help accelerate a new era of medical research.
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AI poised to revolutionise drug development
AI is poised to revolutionise drug development. ICON’s Chief Medical and Innovation Officer, Greg Licholai, explores this topic in his recent column in Forbes.
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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).
