tag: Biomedical research
Blog Post
October 17, 2024
How is Generative AI Being Used in Biomedical Research?
A New Report Shares Findings from a Survey of Academic Researchers
When ChatGPT was released in November 2022, it prompted an ongoing national conversation about the role of generative AI across all sectors of intellectual labor. Within the academy, that conversation has focused primarily on generative AI’s impact on instruction, with relatively little attention being given to its role in scholarly research. The field of biomedical research in particular has provided some of the most promising use cases for generative AI, as well as being a site for potentially significant harm…
Research Report
October 17, 2024
Adoption of Generative AI by Academic Biomedical Researchers
Preface Biomedical research has been at the forefront of generative AI-enhanced research. Generative AI’s contributions to drug development and protein design are among the most widely celebrated concrete examples of its transformative potential. Biomedicine has also been at the forefront of developing customized, domain-specific large language models (LLMs). It is also a field in which any accelerating effects enabled by generative AI would have immediate impacts on the health of individuals, and for the same reason, where errors created by generative…
Past Event
October 29, 2024
The Early Impacts of Generative AI on Biomedical Research
Findings from an International Survey
Join us for an in-depth discussion on the use of generative AI to advance biomedical research. We’ll share key findings from an international survey of biomedical researchers commissioned by the Chan Zuckerberg Initiative and conducted by Ithaka S+R, including detailed information about the specific tasks that biomedical researchers are performing with generative AI, and how often they are doing so. We’ll also consider where the field may be heading and observations about how to maximize the value of this exciting…
Blog Post
February 8, 2024
Biomedical Research and Generative AI
Announcing an International Survey
AI has driven important advances in biomedical research for some time, spurring drug discovery, improving medical imaging, and facilitating engagements with large datasets in emerging fields like precision medicine. However, recent advances, notably the advent of consumer-friendly generative AI tools, have increased the likelihood that AI-informed research and scholarly communication will be ubiquitous in the near future. Managing this transformation in ways that ensure high-quality, reproducible results and ethical, inclusive research practices is important across academic disciplines, but identifying current…