Notes Nick Lynch (Unlicensed)
Afrozy, Frederik, Ian, Jabe, Bryn, Helena, Nick, Ted, Carmen, Evelina
Comments since last meeting
To select business use case(s) areas is our key priority
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 & Lab data | How to best include Devices and sensors not just from lab but wider data collection tools Possible focus on maintenance information and prediction of issues |
Rare Disease areas | Are there suitable groups to partner here?* Building on Hackathon example from 2017 (frederick ataraxia disease) |
*Ian Harrow 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
The techniques that can be applied to build these use cases are supervised/ unsupervised machine learning and recommendation algorithms.
All to read and comment on business case document
Data ideas actions from the previous meeting
CJ - Clinical Data from Wearables and their analysis compared to current challenges of paper recording
Afrozy - Commercial data scenarios but also the data best practice applied to that
Ted - Sepsis prediction, Morphology, Bone suppression
Industry Examples of AI usage: Terry, Ian
Quick review of current AI uses (Imaging, QSAR activity, others)