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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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Narratives for a clinical study report: The evolution of automation and artificial intelligence
In this article (page 28), find out what the future holds for narrative production in clinical studies now that we are in the era of AI.
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Keeping eCOAs off the critical path – key considerations
The prevalence of decentralised clinical trials and the importance of patient-centricity in medical practices are just two of many factors leading to the increased use of electronic Clinical Outcome Assessments (eCOAs). Digital devices like smartphones, tablets, wearables and web-based platforms are increasingly being used to measure the impact of a disease and/or treatment on patients’ quality of life and are an important way we can capture the patient’s voice in a clinical trial.
The eCOA system consists of the devices used for data collection, specialised eCOA software installed in these devices for collecting the data or access to web-based eCOA platforms and a centralised database or server to store, manage and analyse the data securely. This article explains how an optimised eCOA implementation strategy can minimise several risks and challenges associated with clinical trials.
Article published in International Pharmaceutical Industry, Volume 15 Issue 3, 29 September 2023
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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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Beyond the glass: A look at digital pathology’s practical applications and novel possibilities in clinical trials
In this article from Diagnostics World News, Jenny Ross, Pathologist and Medical Director, looks at practical uses of digital pathology technologies and illustrates considerations for their use in global 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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Clinical Data Management
In this article, Michael Phillips, discusses the ways in which machine learning can replace or augment traditional data review approaches while maintaining a risk-based, patient-centric approach and delivering higher quality outcomes with less human error.
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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
