Al-Quds University and the USS Center for Science & Life sign agreement to develop health project supported by AI

24/04/2025

The AIMED initiative (AI-powered mHealth System for Infectious Disease Early Detection and Early Warning Systems) aims to strengthen early detection and warning capacities for infectious diseases, alongside the deployment of timely responses through the use of artificial intelligence and data analysis.

The agreement was signed on February 26, 2025, by Dr. Radwan Qasrawi, Professor of Information and Communication Technologies Engineering at Al-Quds University, and Dr. Mario Rosemblatt, Executive Director of the Fundación Ciencia & Vida.

The project is part of broader efforts to improve public health in regions facing structural challenges in their healthcare systems. Initially, it will focus on Palestine and Jordan, with the goal of developing innovative tools for the early identification of disease outbreaks and optimizing health responses.

Al-Quds University, known for its leadership in health research and medical technology, will coordinate the project. Meanwhile, the USS Center for Science & Life will contribute its expertise in computational biology and epidemiological surveillance, ensuring the quality and effectiveness of the solutions developed.

Dr. Rosemblatt commented, “This partnership with Al-Quds University allows us to contribute our expertise in computational biology and epidemiological surveillance to global health efforts. We believe collaborative science and technology can make a difference in the early detection of infectious diseases, especially in regions facing structural challenges in their healthcare systems.”

The signed Memorandum of Understanding establishes a framework for cooperation to implement the AI-based digital health system. The main objectives of this alliance include:

• Development and evaluation of the AIMED system, enabling early detection and alert issuance for infectious diseases.

• Integration of real-time data sources, such as medical records, health databases, social media, and portable monitoring devices.

• Creation of predictive models based on advanced deep learning algorithms and natural language processing.

• Support for public health decision-making by facilitating the efficient allocation of resources according to the evolution of epidemic outbreaks.

Al-Quds University will lead system design, data collection and management, and the development of predictive models. It will also oversee the evaluation and reporting of project progress.

For its part, the Center for Science & Life will support the creation of communication strategies to engage key health sector stakeholders, provide academic resources, and participate in follow-up meetings to ensure the project’s objectives are met.

This agreement represents a significant step forward in the application of emerging technologies to public health. The combination of artificial intelligence, big data analysis, and advanced epidemiological strategies will not only improve disease detection in Palestine and Jordan but also lay the groundwork for implementing these systems in other regions facing similar health challenges.

In this way, AIMED builds on efforts carried out under the ECLIPSE project in Latin America and the implementation of its strategic pillars in other regions through the Health Forecasting Alliance (HFA) initiative.