Michelle Holko

Toward relational biosecurity: understanding AI-enabled biology as a connected system

Michelle Holko

Advances in artificial intelligence (AI) are rapidly expanding what can be predicted and produced in biotechnology, transforming the life sciences into a computational, distributed, and increasingly design-oriented enterprise. At the same time, biosecurity frameworks remain largely organized around the control of known …

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Governing real-world health data as a public utility

Melissa A. Haendel, Ryan Ahern, Kasie B. Bailey, Spyridon Bakas et autres

The utility model offers a framework for ethical stewardship, patient empowerment, and distributed innovation.

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A Blueprint for Open Science: How Transatlantic Teams Built and Deployed Knowledge Graphs to Enable Biological (AI) Models

Mina P. Peyton, Samarpan Mohanty, Van Q. Truong, Andrew Scouten et autres

Knowledge graphs (KGs) and large language models (LLMs) are increasingly applied in biomedical research; however, LLMs' tendency to hallucinate and lack of evidence traceability poses significant challenges for rigorous scientific applications. To address these limitations, the NVIDIA - AWS Open Data Knowledge …

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A Blueprint for Open Science: How Transatlantic Teams Built and Deployed Knowledge Graphs to Enable Biological (AI) Models

Anne Ketter, Fateema Bazzi, Samarpan Mohanty, Vivien W. Ho et autres

Knowledge graphs (KGs) and large language models (LLMs) are increasingly applied in biomedical research; however, LLMs' tendency to hallucinate and lack of evidence traceability poses significant challenges for rigorous scientific applications. To address these limitations, the NVIDIA - AWS Open Data Knowledge …

Harnessing Consumer Wearable Digital Biomarkers for Individualized Recognition of Postpartum Depression Using the All of Us Research Program Data Set: Cross-Sectional Study

Eric G. Hurwitz, Zachary Butzin-Dozier, Hiral Master, Shawn T. O’Neil et autres

Background Postpartum depression (PPD) poses a significant maternal health challenge. The current approach to detecting PPD relies on in-person postpartum visits, which contributes to underdiagnosis. Furthermore, recognizing PPD symptoms can be challenging. Therefore, we explored the potential of using digital biomarkers from …

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Session Introduction: Digital health technology data in biocomputing: Research efforts and considerations for expanding access (PSB2024)

Michelle Holko, Chris Lunt, Jessilyn Dunn

Data from digital health technologies (DHT), including wearable sensors like Apple Watch, Whoop, Oura Ring, and Fitbit, are increasingly being used in biomedical research. Research and development of DHT-related devices, platforms, and applications is happening rapidly and with significant private-sector involvement with …

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How Fitbit data are being made available to registered researchers in All of Us Research Program

Hiral Master, Aymone Kouame, Kayla Marginean, Melissa Basford et autres

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Harnessing Consumer Wearable Digital Biomarkers for Individualized Recognition of Postpartum Depression Using the All of Us Research Program Data Set: Cross-Sectional Study (Preprint)

Eric G. Hurwitz, Zachary Butzin-Dozier, Hiral Master, Shawn T. O’Neil et autres

BACKGROUND Postpartum depression (PPD) poses a significant maternal health challenge. The current approach to detecting PPD relies on in-person postpartum visits, which contributes to underdiagnosis. Furthermore, recognizing PPD symptoms can be challenging. Therefore, we explored the potential of using digital biomarkers from …

Harnessing consumer wearable digital biomarkers for individualized recognition of postpartum depression using the All of Us Research Program dataset

Eric G. Hurwitz, Zachary Butzin-Dozier, Hiral Master, Shawn T. O’Neil et autres

Postpartum depression (PPD), afflicting one in seven women, poses a major challenge in maternal health. Existing approaches to detect PPD heavily depend on in-person postpartum visits, leading to cases of the condition being overlooked and untreated. We explored the potential of consumer …

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Cyber and Information Security in the Bioeconomy

Alexander Titus, Kathryn E. Hamilton, Michelle Holko

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Session Introduction: Digital health technology data in biocomputing: Research efforts and considerations for expanding access

Michelle Holko, Chris Lunt, Jessilyn Dunn

Data from digital health technologies (DHT), including wearable sensors like Apple Watch, Whoop, Oura Ring, and Fitbit, are increasingly being used in biomedical research. Research and development of DHT-related devices, platforms, and applications is happening rapidly and with significant private-sector involvement with …

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Biomedical research in the Cloud: considerations for researchers and organizations moving to (or adding) cloud computing resources

Michelle Holko, Nick D. Weber, Chris Lunt, Steven E. Brenner

As biomedical research data grow, researchers need reliable and scalable solutions for storage and compute. There is also a need to build systems that encourage and support collaboration and data sharing, to result in greater reproducibility. This has led many researchers and …

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