NESTLER is a joint project between the EU and African member states designed to promote One-Health sustainable partnership. The project aims to bring together interdisciplinary technological advances to effectively monitor the well-being of animals, plants, and humans in a holistic approach. The complementarity between the stakeholders will extend upon the ongoing initiatives from FARM2FORK strategies that have resulted in integrated software systems and solutions. The novelty of the NESTLER project lies in the development and integration of advanced remote sensing technologies. The project platform will develop software interfaces for ingesting satellite data sources along with video streams captured from unmanned aerial vehicles and other IoT devices installed for monitoring the environmental and animal well-being. The large-volume of data ingested into the platform will be subjected to additional processing for the extraction of intuitive insights with the assistance of machine learning algorithms and deep-learning network architectures. The extracted insights will be translated into predictive models affecting One-Health sustainability programme using the machine automation. Additionally, the NESTLER project will also undertake research activities to investigate the impact of insect protein on the circular economy for the well-being of animals. The project will develop methodologies for edible insect farming which will be in animal farming. The project will also conduct research studies on the impact of animal waste in crop-based farming. In complementary to the analysis of health benefits, the project will also undertake efforts to evaluate the economic sustainability of such farming practices which will lead to the setup to joint EU-Africa joint task force on One-Health Sustainability. The outcome of the project will result in a transition from a linear economy to a circular economy delivering sustained growth and development.

The objectives of SEARCH are truly ground-breaking, seeking to enable extensive data aggregation and analysis while safeguarding the integrity and privacy of original datasets through synthetically derived proxies. This initiative is designed to address biomedical challenges in Europe and offer translational solutions that will ultimately contribute to the advancement of personalised medicine. Unlike traditional data-sharing platforms that mainly focus on technical obstacles, SEARCH adopts an innovative approach by addressing legal, ownership, and subject privacy concerns. It specifically targets distributed institutional repositories that are hesitant to share multimodal clinical data, overcoming security concerns through a combination of clinical synthetic data proxies and a Federated Learning framework. Until synthetic data proxies gain wider acceptance, this combined strategy aimed at alleviating security concerns, facilitates the scalability required for AI analysis and promotes creative public-private data collaborations. SEARCH will offer advanced data federation capabilities, incorporating unique Synthetic Data Generation features to create various data types, including those not comprehensively addressed currently (e.g., wearable device data, image sequences, and genomic data). Through curated access to these novel digital tools, SEARCH will facilitate convenient access for the healthcare industry and research community to address bottlenecks and challenges in the development of novel tools for personalized prevention, diagnosis and treatment based on explainable AI. Moreover, SEARCH will provide agreed-upon gold standard synthetic datasets for evaluating the performance of biomedical AI solutions. SEARCH aims to consolidate European Innovation and Research endeavours by promoting public and private collaborations to unlock the potential for innovation in the digital healthcare sector.