From big data to personalised healthcare

Hina Zamir is a postgraduate researcher at the Explant Facility (University of Leicester), working on the development of patient-derived explants as preclinical models that can accurately predict outcomes in the clinic. Hina's research sits at the interface of clinical, experimental, and computational methods.

Autonomous Vehicles (AVs) are expected to bring many benefits (e.g., road safety and mobility equity) and whilst there are still technical hurdles to later stages of autonomy, another less prominent yet important factor to AV adoption relates to negative public perceptions with technology acceptance and trust found significant. This talk will present initial findings from an online survey and focus group sessions that explored how, through personalisation of interactions and experiences, acceptance of AVs could be increased for those who are keen for AVs in our future and those who are not.