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AI3SD Video: Introducing the Future Blood Testing Network

AI3SD Video: Introducing the Future Blood Testing Network
AI3SD Video: Introducing the Future Blood Testing Network
The Future Blood Testing Network+ is a new Network funded by EPSRC. We are aiming to build a multi-disciplinary community to develop digital health technologies for remote, rapid, affordable and inclusive monitoring and personalised analytics. This presentation will introduce our Network, detailing our plans for the next three years, in particular highlighting the funding calls and opportunities that will be relevant to the AI4SD Community.
Li, Weizi (Vicky)
efa499a5-fdc6-4e69-b4c1-d94b06af014d
Frey, Jeremy G.
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Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Li, Weizi (Vicky)
efa499a5-fdc6-4e69-b4c1-d94b06af014d
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420

Li, Weizi (Vicky) (2022) AI3SD Video: Introducing the Future Blood Testing Network. Frey, Jeremy G., Niranjan, Mahesan and Kanza, Samantha (eds.) AI4SD Network+ Conference, Chilworth Manor , Southampton, United Kingdom. 01 - 03 Mar 2022. (doi:10.5258/SOTON/AI3SD0185).

Record type: Conference or Workshop Item (Other)

Abstract

The Future Blood Testing Network+ is a new Network funded by EPSRC. We are aiming to build a multi-disciplinary community to develop digital health technologies for remote, rapid, affordable and inclusive monitoring and personalised analytics. This presentation will introduce our Network, detailing our plans for the next three years, in particular highlighting the funding calls and opportunities that will be relevant to the AI4SD Community.

Video
ai4sd_march_2022_day_1_WeiziLi - Version of Record
Available under License Creative Commons Attribution.
Download (192MB)

More information

Published date: 1 March 2022
Additional Information: Dr Weizi (Vicky) Li is an Associate Professor of Informatics and Digital Health, Deputy Director in Informatics Research Centre, Henley Business School, University of Reading. She is an interdisciplinary researcher focusing on using informatics, data science, machine learning, and digital information systems to solve real-world healthcare challenges. She is the academic lead of a large collaborative project of Improving the Quality of Healthcare through an Integrated Clinical Pathway Management Approach and Cloud based Digital Data Integration Platform, which was awarded ESRC O2RB Excellence in Impact Award in 2018 for her research impact on healthcare quality improvement. She is the academic lead of machine learning based decision support system for outpatient management which has successfully been implemented in Royal Berkshire NHS Foundation Trust and has received Research Engagement and Impact award in 2020. She has been PI on projects funded by ESRC, EPSRC, The Health Foundation, NHS and companies, working on data-driven decision support systems that use real-world data (under privacy preserving framework) from multiple sources including Electronic Patient Record in acute, community hospital and primary care settings, remote health monitoring and patient reported outcomes to develop novel technologies (including AI based methods) to support clinical and operational decision makings in patient pathway.
Venue - Dates: AI4SD Network+ Conference, Chilworth Manor , Southampton, United Kingdom, 2022-03-01 - 2022-03-03

Identifiers

Local EPrints ID: 468627
URI: http://eprints.soton.ac.uk/id/eprint/468627
PURE UUID: 185ffef4-30cd-4d85-9aaf-cc67b4e2726c
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302
ORCID for Mahesan Niranjan: ORCID iD orcid.org/0000-0001-7021-140X
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489

Catalogue record

Date deposited: 19 Aug 2022 16:31
Last modified: 17 Mar 2024 03:51

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Contributors

Author: Weizi (Vicky) Li
Editor: Jeremy G. Frey ORCID iD
Editor: Mahesan Niranjan ORCID iD
Editor: Samantha Kanza ORCID iD

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