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Clinical Trial Matching Solutions: Understanding the Landscape

February 29, 2024

Applied Clinical Trials Online A framework to understand the different approaches of trial matching solutions and the major operational and workflow challenges that all matching solutions share. The idea of using technology to find patients who meet the eligibility criteria for clinical trials sounds straightforward. A patient or caregiver should be able to find a […]

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How Are Healthcare AI Developers Responding to WHO’s New Guidance on LLMs?

January 31, 2024

Med City News This month, the World Health Organization released new guidelines on the ethics and governance of large language models (LLMs) in healthcare. Reactions from the leaders of healthcare AI companies have been mainly positive. In its guidance, WHO outlined five broad applications for LLMS in healthcare: diagnosis and clinical care, administrative tasks, education, […]

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Can Machine Learning be Efficient in Organizing Patient Safety Event Reports?

January 31, 2024

Applied Clinical Trials Online Patient safety event reports (PSEs) play an integral role in hospitals for keeping accurate records of adverse events (AEs). A challenge faced by hospitals is efficiently and accurately classifying these AEs due to the sheer number of reports that are created. A recent study published in JMIR turned to machine learning […]

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Supporting investigators and sites in the evolution to decentralised clinical trials

January 31, 2024

International Biopharma The growing uptake of decentralised clinical trials in recent years reflects several key drivers such as advances in remote monitoring technology and data analytics, the need to access broader, more diverse trial populations, and demand in clinical development for cost efficiencies and meaningful, real world study outcomes. However, we are at a point […]

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