Publications by authors named "Cathy Shyr"

Article Synopsis
  • The All of Us Research Program wants to create a huge and diverse database for medical research that scientists can easily use through a special platform called the Researcher Workbench (RW).
  • Researchers with different levels of experience helped design a new tool called SAS by sharing their ideas and testing it out.
  • The feedback from these researchers was super helpful in making the SAS tool better, which means more people can use the All of Us data easily and effectively in their studies.
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Objective: Returning aggregate study results is an important ethical responsibility to promote trust and inform decision making, but the practice of providing results to a lay audience is not widely adopted. Barriers include significant cost and time required to develop lay summaries and scarce infrastructure necessary for returning them to the public. Our study aims to generate, evaluate, and implement ChatGPT 4 lay summaries of scientific abstracts on a national clinical study recruitment platform, ResearchMatch, to facilitate timely and cost-effective return of study results at scale.

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Background: There is no consensus on how to determine appropriate financial compensation for research recruitment. Selecting incentive amounts that are reasonable and respectful, without undue inducement, remains challenging. Previously, we demonstrated that incentive amount significantly impacts participants' willingness to complete various hypothetical research activities.

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Article Synopsis
  • Phenotyping is essential for diagnosing and treating rare diseases, but current methods rely on unstructured text, which requires annotated data for effective analysis.
  • This study investigates the use of prompt learning with ChatGPT for identifying rare disease phenotypes, comparing its performance to fine-tuning with BioClinicalBERT.
  • Results show that while fine-tuning BioClinicalBERT performs better overall, ChatGPT can match its accuracy with just one annotated sample, suggesting a promising approach for easier extraction of rare disease information.
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Objective: With its size and diversity, the All of Us Research Program has the potential to power and improve representation in clinical trials through ancillary studies like Nutrition for Precision Health. We sought to characterize high-level trial opportunities for the diverse participants and sponsors of future trial investment.

Materials And Methods: We matched All of Us participants with available trials on ClinicalTrials.

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Purpose: Models used to predict the probability of an individual having a pathogenic homozygous or heterozygous variant in a mismatch repair gene, such as MMRpro, are widely used. Recently, MMRpro was updated with new colorectal cancer penetrance estimates. The purpose of this study was to evaluate the predictive performance of MMRpro and other models for individuals with a family history of colorectal cancer.

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