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.
Holly K. Tabor, PhD and Aaron Goldenberg, PhD, MPH
Rare genetic disease research has something to teach precision medicine about addressing some patients’ limited access to treatment. Health disparities exacerbated by high costs and limited availability of drugs can, perhaps, be mitigated when patient activism accelerates drug development.
AMA J Ethics. 2018; 20(9):E834-840. doi:
10.1001/amajethics.2018.834.
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.
In the same way that we learn about normal variations in blood pressure, we need to learn about “normal” variations in sexual interests and practices. We want to avoid clueless questions or unintentionally inflammatory statements.
Dr Esha Bansal joins Ethics Talk to discuss her article, coauthored with Drs Saran Kunaprayoon and Linda P. Zhang: “Opportunities for Global Health Diplomacy in Transnational Robotic Telesurgery.”