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From MS to NMOSD to early Alzheimer's disease, neurologic mAbs are delivering proven clinical benefit. But as efficacy becomes less of a differentiator, what determines whether these therapies reach patients? In this art...
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AI has the power to revolutionise drug discovery and design
In this article from the Irish Times, Gerard Quinn, VP of IT Innovation and Informatics provides insight on how artificial intelligence can support the drug development process in order to deliver new treatments to more people, faster.
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Automation in Clinical Trials
This article will explore how clinical trials have become more complex with more moving parts, along with the requirements for technology specific automation - increasing sophistication and the strategies for adoption.
Published by Journal for Clinical Studies Volume 15 Issue 3
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Integration of AI in imaging clinical trials
In this article from Drug Discovery World, Sophie Winandy, Executive Director of Medical Imaging, explores the benefits of AI and how it can be integrated throughout medical imaging within clinical trials.
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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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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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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
