Healthcare

Healthcare

In a nutshell

  • The COVID-19 pandemic has underscored the devastating impact of animal-borne diseases on global health, economies, and critical infrastructures. Future pandemics may arise from various sources and spread through diverse means, posing significant challenges to societal resilience.
  • This use case focuses on leveraging advanced biotechnological solutions and big data to model and manage diseases through early diagnosis. By understanding disease transmission mechanisms and developing customised treatments, the HYPER-AI platform aims to improve preparedness and responses to future pandemic crises.
  • The developed applications will be integrated into the HYPER-AI infrastructure, enabling civil protection agencies to analyse interdependencies among critical infrastructures and enhance overall resilience.

COVID-19 modelling graphic

Challenge

The emergence of pandemics, such as COVID-19, highlights the need for improved monitoring, modelling, and early diagnosis of diseases. Pandemics cause widespread human casualties, strain health systems, and disrupt economies and critical infrastructures. The cascading effects of pandemics exacerbate vulnerabilities, making it essential to develop comprehensive strategies to mitigate these impacts. Civil protection agencies require robust tools to analyse and understand the interdependencies among critical infrastructures, ensuring continuity of operations and services during pandemics.

Medical professionals wearing PPE
Gene modelling

HYPER-AI Solution

The HYPER-AI project will aim to offer Big Data solutions in the Biotechnology sector for early diagnosis and managing health and diseases, which will be validated by HYPER-AI project associate SUNDO. The modelling of miRNA target genes and signalling pathway will involve the following directions:

  • Selecting target genes and disease-predicting miRNA based on Big Data databases.
  • Analysing historical data to predict diseases by interpreting the process and relevance of genes to diseases such as cancer and metabolic diseases in a Pathway diagram.
  • Leveraging databases relevant to the expansion of plants, animals, fungi, and protists.
  • Developing detailed and customised medical treatments using deep learning and miRNA.
  • Using forensic organisms' DNA in analysis.

Impact

This use case aims to significantly enhance pandemic preparedness by providing advanced tools for diagnosis, monitoring and managing diseases. By analysing infrastructural interdependencies, HYPER-AI will help civil protection agencies understand vulnerabilities and ensure the resilience of networks and services. The integration of biotechnological solutions with big data analytics will enable more accurate disease modelling and tailored medical treatments, improving response capabilities. Ultimately, this approach will contribute to safeguarding public health, maintaining economic stability, and ensuring the resilience of critical infrastructures during future pandemic crises.

Crowd in public transport wearing masks

Project KPIs

  • Detection time of a new potential zoonosis at an early warning stage.
  • Detection and visualisation of a pathogen contamination in surface water.
  • Identification of cascade effects from healthcare to other critical infrastructures (e.g. urban multimodal mobility, international supply chain, energy production and water supply).

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