Nicole Martinez-Martin, JD, PhD, Laura B. Dunn, MD, and Laura Weiss Roberts, MD, MA
Calibrating a machine learning model with data from a local setting is key to predicting psychosis outcomes. Clinicians also need to understand an algorithm’s limitations and disclose clinically and ethically relevant information to patients.
AMA J Ethics. 2018;20(9):E804-811. doi:
10.1001/amajethics.2018.804.
Clara C. Hildebrandt, MD and Jonathan M. Marron, MD, MPH
Gene editing with CRISPR/Cas9 raises concerns about equitable access to therapies that could limit research participation by minority group members. These concerns can be addressed through public education, transparency, and stakeholder partnerships.
AMA J Ethics. 2018;20(9):E826-833. doi:
10.1001/amajethics.2018.826.
Rebekah Davis Reed, PhD, JD and Erik L. Antonsen, PhD, MD
Though the National Aeronautics and Space Administration’s collection of disaggregated genetic data for occupational surveillance and research raises numerous privacy concerns, the Genetic Information Nondiscrimination Act of 2008 allows genetic information to be used to develop personal pharmaceuticals.
AMA J Ethics. 2018;20(9):E849-856. doi:
10.1001/amajethics.2018.849.
Cynthia E. Schairer, PhD, Caryn Kseniya Rubanovich, MS, and Cinnamon S. Bloss, PhD
Questions about data privacy need to be addressed when research institutions negotiate with companies developing mobile health applications. Commercial terms of use and data sharing notifications should be reviewed before use in human subject research settings.
AMA J Ethics. 2018;20(9):E864-872. doi:
10.1001/amajethics.2018.864.
Social and behavioral data contained in electronic health records are essential for studying health disparities. Can researchers avoid bias when collecting, analyzing, and using such data?
AMA J Ethics. 2018;20(9):E873-880. doi:
10.1001/amajethics.2018.873.
Pablo A. Ormachea, JD, Sasha Davenport, Gabe Haarsma, PhD, Anna Jarman, Howard Henderson, PhD, and David M. Eagleman, PhD
A new neuropsychological, game-based test battery to measure traits predictive of recidivism holds promise for individually tailoring criminal sentences.
AMA J Ethics. 2016;18(3):243-251. doi:
10.1001/journalofethics.2016.18.3.stas1-1603.