Oxford’s CHI Lab and Pandemic PACT Launch PPACE for Biomedical Research Monitoring

Introduction of PPACE

The Computational Health Informatics (CHI) Lab at the University of Oxford, led by Professor David Clifton, has launched the Pandemic PACT Advanced Categorisation Engine (PPACE). Developed through a collaborative effort under Dr. Omid Rohanian and the Pandemic PACT team, PPACE is a sophisticated generative AI model designed to classify biomedical research projects according to WHO-aligned priorities.

Role of Pandemic PACT

Directed by Dr. Alice Norton, Pandemic PACT tracks global research funding for diseases with pandemic potential. PPACE serves as a strategic aid within Pandemic PACT, automatically categorising research abstracts, which annotators can then review and refine, significantly expediting the monitoring and analysis process.

Facilitating Global Collaboration

The CHI Lab and Pandemic PACT team have made both PPACE and the manually annotated dataset used for its training freely accessible. This initiative promotes global collaboration, enabling researchers and organisations worldwide to benefit from advanced AI tools in the biomedical field.

Access Resources Here:

PPACE Model: https://huggingface.co/nlpie/ppace-v1.0

Pandemic PACT Dataset: https://huggingface.co/datasets/nlpie/pandemic_pact

Pandemic PACT Tracker: https://www.pandemicpact.org/

Preprint: https://arxiv.org/pdf/2407.10086