Ellen Sigal, Roy Herbst: Friends and FDA to focus on real-world evidence, AI, and streamlined trials in 2024

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As artificial intelligence becomes an indispensable tool in cancer research, drug sponsors and researchers should focus on building and utilizing rich real-world evidence databases that can be used to complement clinical trials.

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Paul Goldberg
Editor & Publisher
Matthew Bin Han Ong
Matthew Bin Han Ong
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Artificial intelligence is rapidly transforming biomedical research and healthcare. Large language models, foundation models, and AI agents are increasingly being deployed to assist with data interpretation, literature review, clinical decision support, and translational research. 
In modern oncology, important insights from clinical trials often emerge years after initial publication. As new therapies extend survival and transition more patients into long-term remissions, clinicians and researchers are increasingly looking beyond initial response rates to understand durability, long-term safety, and even the possibility of a cure. 
Paul Goldberg
Editor & Publisher
Matthew Bin Han Ong
Matthew Bin Han Ong

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