Edcel Salumbides (VU): Non-invasive pre-symptomatic illness detection in farm animals
We are developing a non-invasive breath sensor for cows, for the early detection of illnesses well before observable symptoms. The automated and frequent health monitoring would enable timely and precise feed adjustments by farmers to stop disease progression. The technology is derived from the extremely sensitive and specific spectroscopic techniques developed for fundamental physics studies at LaserLaB VU Amsterdam.
Dairy is an important dietary component in the global challenge of feeding the increasing human population. Our technology will promote healthy animals and will help farmers attain peak productivity and efficiency. This will not only reduce economic costs and minimize environmental emissions, but will also help ensure a better quality of life for farm animals.
Tiago Matos (Amsterdam UMC): Dermoscope We developed a scientific-based app capable to quickly identify which personal care products are safe and effective for each specific individual’s skin type. We use on average 10 PCPs daily, that means more than 500 different chemicals that we put in our skin every day. Many products still contain dangerous […]
Corentin Coulais (UvA): Edible Metamaterials Metamaterials have already widely been used in physics and engineering to control how light and sound propagate. In other sectors – like the food industry – their potential has remained completely unexplored. We think that metamaterials could dramatically improve the interactions between humans and materials and to help create sustainable food sources. […]
Syranos Tjee (HvA): Recipe Creation I want to do something about food waste and my idea is Recipe Creation. People often don’t know what to do with their leftovers and also often throw leftovers away, which is a shame. With Recipe Creation you can scan your leftover food and it will generates a recipe. My […]