Browsing by Author "Phillips, Andelka M."
Now showing items 1-5 of 5
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The age of personalized medicine—From patients to consumers: The digital environment, clickwrap contracts, and implications for autonomy
(Oxford University Press, 2019)How many online contracts have you entered into this year and how many of those did you actually read? This chapter explores the impact that the designed environment of websites and electronic contracts have on the exercise ... -
Brexit and biobanking: GDPR perspectives
(SpringerCham, Switzerland, 2021)It is almost impossible to write a legal analysis of an event (Brexit) that has not happened and may never happen. This chapter nonetheless contributes to the edited collection in that it reports on the current legal ... -
Buying your genetic self online: Pitfalls and potential reforms in DNA testing
(IEEE, 2019)Today's orld is one of constant monitoring and tracking-sometimes driven by us, sometimes driven by others. Developments in the field of health and identity are no exception. New technologies, such as wearable devices, and ... -
Essentials of a robust deep learning system for diabetic retinopathy screening: A systematic literature review
(Hindawi Limited, 2020)This systematic review was performed to identify the specifics of an optimal diabetic retinopathy deep learning algorithm, by identifying the best exemplar research studies of the field, whilst highlighting potential ... -
Written submission to the UK's House of Commons Science and Technology Committee for their Commercial Genomics Inquiry
(2019)This is my written submission of suggestions for regulatory reform of Commercial Genomics.
Co-authors for Andelka M. Phillips
Supervised by Andelka M. Phillips
Showing up to 5 theses - most recently added to Research Commons first.
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A critical examination of the legal implications of Artificial Intelligence (AI) based technologies in New Zealand workplaces.
(The University of Waikato, 2021)A wide range of technology includes artificial intelligence (AI). We focus on "predictive algorithms, which include machine learning algorithms. For much regulatory purpose, the overall concept of a "predictive algorithm" ...
