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 | Seeking Business Enablers to Optimize Processes, Enhance Supply Chains, and Drive Digital Transformation in Frozen Foods Industry |
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Nomad Foods, Europe’s leading frozen food company has launched its Future Foods Lab, a bold new venture clienting initiative, in partnership with Innoget. As part of Nomad Foods’ innovation strategy, the Future Foods Lab will explore market-ready solutions proposed by startups to address key business challenges, which can then be piloted and scaled across Europe. The Future Foods Lab will offers a unique opportunity whereby those who apply will benefit from: -A paying customer relationship with Nomad Foods -Access to a test and learn environment with real-world validation -Deep industry immersion in frozen food manufacturing and global supply chains -Mentorship from cross-functional experts in R&D, marketing, procurement, and more -Opportunities for co-branding, commercial scaling, and long-term partnerships |
 | Seeking Solutions for Repair and Protection of Enamel and Dentin |
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A product that delivers significant and long lasting repair to damaged tooth enamel and dentin |
| | Seeking Solutions for Enhanced Delivery of Oral Care Actives and Flavors |
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To improve the performance and consumer experience of oral care products using formulation excipients to improve deposition, retention and protection of actives, flavors, and sensates for extended periods |
 | PROTAC molecules targeting PAX3:FOXO1 fusion protein for rhabdomyosarcoma treatment |
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This invention introduces novel PROTAC (proteolysis targeting chimera) molecules designed to induce degradation of the PAX3::FOXO1 fusion oncoprotein in rhabdomyosarcoma cells. The compounds consist of a PAX3::FOXO1 binding moiety, an E3 ubiquitin ligase binding moiety, and a bivalent linker. This targeted approach offers a potential breakthrough in treating fusion-positive rhabdomyosarcoma, addressing a significant unmet need in pediatric cancer therapy. |
 | Nitrate ions removal from water |
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The invention describes a method for synthesizing a bifunctional copolymer designed for the detection and removal of specific anions, such as nitrates, in drinking water. This material can be easily regenerated, allowing for repeated use over time and resulting in cost savings. Additionally, the copolymer synthesis does not require polymers or organic solvents, making the process more eco-friendly and efficient. Its effectiveness in purification process is visible to the user through a visual signal, such as a color change, which facilitates monitoring of the filtering material, ensuring timely maintenance or replacement. |
 | Image processing method for glaucoma detection and computer program |
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We have developed a new algorithm for ordering anterior chamber OCT images in such a way that it is possible to classify them, in a fully unsupervised manner, in meaningful groups according to relevant features. We have tested the algorithm with a large set of images classified by two expert ophthalmologists, and with a larger set of annotated images. We have verified that the separation in the different classes defined by the ophthalmologists (closed, narrow, open, and wide open_ figure 6) is similar when using the manually extracted features, or when using the features that are returned by the unsupervised algorithm (View figures). Therefore, the abstract features generated by the algorithm provide novel tools for assessing OCT images of the anterior chamber. They can be used for direct classification of the images and, furthermore, they can be linked to established quantities used for characterizing diseased eyes (like chamber depth, iris-corneal angle) resulting in an automatic detection system. As the algorithm is fully unsupervised, it can be easily automated and set up in OCT imaging systems to aid technicians and doctors in an early diagnosis. The two main advantages of the algorithm demonstrated here over previous works are that it doesn’t need any ground truth or gold standard for training, and it does not rely on specific landmarks; thus, it can analyze images in which relevant landmarks are not visible or not easy to locate. |
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