May 30, 2023 · Learning point 1: Machine learning frameworks have the potential to accelerate the timeline of clinical trials by facilitating patient selection ...
The role of machine learning in clinical research - Trials
trialsjournal.biomedcentral.com › articles
Aug 16, 2021 · Machine learning has the potential to help improve the success, generalizability, patient-centeredness, and efficiency of clinical trials.
Mar 13, 2024 · Now scientists are starting to use AI to manage clinical trials, including the tasks of writing protocols, recruiting patients and analysing ...
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Apr 22, 2024 · ML has the potential to enhance efficiency and accuracy in large-scale trials by swiftly processing vast data sets, revealing patterns and better predicting ...
May 30, 2024 · AI can be used to monitor and improve adherence during the clinical trial. This can be through tools such as smartphone alerts and reminders, ...
Aug 16, 2021 · Machine learning has the potential to help improve the success, generalizability, patient-centeredness, and efficiency of clinical trials.
scholar.google.com › citations
Jan 4, 2023 · This study proposes using a machine learning pipeline to optimise clinical trial design. The goal is to predict early termination ...
Mar 18, 2024 · FDA recognizes the increased use of AI/ML throughout the drug development life cycle and across a range of therapeutic areas.
Sep 6, 2023 · AI and ML's potential in clinical trials extends to optimizing trial design, management, and overall outcomes. By leveraging historical clinical ...
Analysis and learning from publicly available biomedical and clinical trial data sets, real-world evidence from sensors, and health records by machine-learning ...
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