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21 |
Is there a duty to participate in digital epidemiology? Enthalten in Life sciences, society and policy Bd. 14, 9.5.2018, Nr. 1, date:12.2018: 1-24
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22 |
New AI regulation in the EU seeks to reduce risk without assessing public benefit Enthalten in Nature medicine Bd. 30, 18.3.2024, Nr. 5, date:5.2024: 1235-1237
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23 |
Not all biases are bad: equitable and inequitable biases in machine learning and radiology Enthalten in Insights into imaging Bd. 12, 10.2.2021, Nr. 1, date:12.2021: 1-10
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24 |
Open science, data sharing and solidarity: who benefits? Enthalten in History and philosophy of the life sciences Bd. 43, 11.11.2021, Nr. 4, date:12.2021: 1-8
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25 |
Precision medicine and the problem of structural injustice Enthalten in Medicine, health care and philosophy Bd. 26, 25.5.2023, Nr. 3, date:9.2023: 433-450
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26 |
Reply to Letter to the Editor on “Not all biases are bad: equitable and inequitable biases in machine learning and radiology” Enthalten in Insights into imaging Bd. 12, 3.11.2021, Nr. 1, date:12.2021: 1-2
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27 |
The Austrian Corona Panel Project: monitoring individual and societal dynamics amidst the COVID-19 crisis Enthalten in European political science Bd. 20, 22.10.2020, Nr. 2, date:6.2021: 318-344
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28 |
Toward better governance of human genomic data Enthalten in Nature genetics Bd. 53, 7.1.2021, Nr. 1, date:1.2021: 2-8
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29 |
Why paying individual people for their health data is a bad idea Enthalten in Nature medicine Bd. 28, 12.9.2022, Nr. 10, date:10.2022: 1989-1991
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