AI Data Group 12 Dec 2017 Action Minutes

Date

Dec 12, 2017

Notes @Nick Lynch (Unlicensed)

To identify business use cases where AI could support and enhance an area.
To enable this AI approach by identifying key data quality needs, data sources & access & data benchmark sets
Validate the AI approach with an exemplar AI pilot solution
Initial pilot phase should be realistic to be funded as a pilot and show early value
Larger projects will be listed and can be used for later stages
Possible AI Data Manifesto

To select business use case(s) and create a business case(s) for funding by mid Feb 2018 to present at London Conference

Item	Summary

Item	Summary
Use Cases	Where are the current pain points: We hope to identify these top down from known areas or in other ways
Data	Need to select areas that have enough data and that this data is accessible or can be made accessible easily. Longer terms goals to encourage best data access in parallel with other initiatives
Toxicology	Is this Pre-clinical, clinical or post marketing? Can we link to ETox data sources and other groups who are collecting data
Instrument data	How to best include Devices and sensors not just from lab but wider data collection tools
Laboratory Data	Possible focus on maintenance information and prediction of issues
Rare Disease areas	Are there suitable groups to partner here?* Building on Hackathon example

*Ian is a member of the Rare Diseases GO-FAIR group (Marco Roos and Barend Mons) at Leiden, NL. Inaugral meeting is next week.

There is potential value in publishing the use cases and discussion there