The Open Food Repo is an independent and community-driven open database for barcoded food products.
The Open Food Repo aims to be a digital public resource for information about the food products that are available to individual consumers on the market. At the moment, the Open Food Repo is focused on barcoded products only, but we’re in the process of adding non-barcoded food products as well and also expanding into other countries.
MyFoodRepo is a smartphone app that makes it easy for individuals to track their food consumption. The app uses artificial intelligence to analyse the photos of meals as well as barcoded food products from the Open Food Repo database.
MyFoodRepo provides a sophisticated web-based interface for annotators to verify or correct the AI analysis, and to directly communicate with its users. It is thus ideally suited for cohorts who wish to track the consumption of their members or patients.
Food & You is a citizen science project on personalized nutrition to study peoples blood sugar responses. The project is coordinated entirely digitally through a web platform and the smartphone app MyFoodRepo.
Crowdbreaks is a crowdsourced disease surveillance system designed to track trends about health and disease-related issues in real-time across different countries. By obtaining feedback from users the system will eventually improve and be able to draw more accurate conclusions about these issues.
Crowdbreaks collects tweets with keywords that might be related to specific health topics. By using natural language processing and machine learning techniques the system tries to filter relevant from non-relevant content. By providing more meta information (labelling) of the tweets, these algorithms will continuously improve to detect tweets which are truly relevant and understand their content.
We use complex networks to model the spread and prevention of infectious diseases (such as influenze or the plague).
Social networks affect the spread of diseases in two major ways. First, social networks are the road systems on which pathogen traffic occurs. Since most diseases are directly transmitted from person to person, the web of such contacts forms the social network that is relevant for the spread of an infectious disease, and it is highly dependent on the specific tranmission route of the disease causing organism. Second, social networks are also relevant for the diffusion of health behaviors such as vaccination.
We investigate how these diverse social networks are structured, how they evolve over time, and how their structure affects the processes occuring on these networks. By understanding the interplay between network structure and the dynamical processes on the networks, we can develop methods to influence these processes.
For example, by removing specific nodes from networks through immunization, disease spread can be stopped more efficiently with fewer vaccine doses.
AIcrowd, a spin-off from our lab, is the premier platform for crowdsourcing real-world AI problems, through challenges.
AIcrowd is the premier open platform for crowdsourcing real-world problems, through challenges. AIcrowd connects your problems with machine learning and data science specialists and enthusiasts, who will collaboratively try to find the most accurate, efficient and effective solutions.
The AIcrowd approach has been used by the most innovative organizations in the world, both in industry and academia. Our tried-and-tested platform coordinates participants and manages submitted solutions, radically accelerating the time to solve AI problems.