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Jun 03, 2024

Welcome to the seventy seventh ever issue of Monday Morning Data Science from the Fred Hutch Data Science Laboratory. We are excited to show you what we have been working on (Fresh from the Lab), plus links that we think you would be interested in (Our Weekly Bookmarks Bar). Part of the purpose of this newsletter is to start conversations, so if you have a question or there is something you would like to share with us please let us know by responding directly to this email.

Fresh from the Lab

[Research Publication: Addressing 6 Challenges in Generative AI for Digital Health: A Scoping Review] This scoping review identifies six key challenges in using generative AI in digital health: bias, privacy concerns, prompt misinterpretation, hallucinations, overreliance on text models, and dynamic behavior. Despite the potential benefits, practitioners must understand these limitations to avoid patient harm and unintended consequences. The review suggests solutions such as rigorous fairness evaluations, local AI model hosting, adversarial testing, and a focus on non-text data applications, emphasizing the need for interdisciplinary collaboration and regulatory clarity to enhance AI's role in healthcare.

Our Weekly Bookmarks Bar

[Event: R-Ladies Seattle posit::conf(2024) Community Mixer] There will be an R-Ladies Seattle/PyLadies Seattle mixer after the last talk of posit::conf(2024) (the conference from formerly RStudio), happening in Seattle this year. It's open to anybody, conf attendees and non-conf attendees! If anybody from your group would like to join, please RSVP at the link above.
[Blog Post: How to Create an Abstract to Inform and Delight] Stuck on writing an abstract for your conference submission? This short post from software engineer Isabel Zimmerman helps you structure your abstract to make it accessible, appealing, and easy to read. Also, she includes great link about how to write a lightning talk.

As always you can contact us by replying directly to this email, you can contact the Data Science Lab at data@fredhutch.org, or you are welcome to join us on the Fred Hutch Data Slack Workspace. For more information about the Fred Hutch Data Science Lab, visit our website: https://hutchdatascience.org/. See you next week!

- The Fred Hutch Data Science Laboratory