Current projects and activities

Project type: Proof of concept

Project status: 10% complete

Partners involved: TopMD, COVID-19 Disease Maps Group, CIAO Project

Problem: How to identify and confirm AOPs of COVID-19 and Long COVID from single cell transcriptomics data as well as from gene expression, shedding light on the mechanistic and casual effects, together with personalised global pathway activity.

Fit with vision: Use of precision medicine and AI to help diagnose and predict outcomes early and stratify patients for potential new therapeutics.

Concept: Analyse differences and similarities of AOPs detected by COVID-19 Disease Maps and TopMD Maps and intertwine with the CIAO Project omics related AOPs.

Successful outcome: Identification of biomarkers essential in highlighting key events of disease critical state evolution

Next Steps: Publication, present outcome in a Spotlight Session and replicate exercise of other COVID AOPs.

Project type: Initiation

Project status: 5% complete

Partners involved: Radiomics, ERS END COVID CRC, CDISC, Thirona, ICL

Problem: How adaptable is DistriM, a distributed machine learning solution, to set-up within the ERS CRC END COVID Registry for their research purposes.

Fit with vision: Developing a learning health system.

Concept: Assess END-COVID CRC needs against DistriM platform’s operational/technical solutions, data curation and model development needs for feasibility

Successful outcome: Easy translation of DistriM to facilitate END-COVID CRC research questions

Next Steps: Identify process and create feasibility outline, present outcome in a Spotlight Session, evaluate piloting DistriM in END COVID CRC sites.