Publications
Seeking Glue-free and Plastic-free closure of paper packaging |
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We are looking for a technology to seal paper packaging materials (paper only with no plastic coating) without using traditional glues or any other additive. For a sustainable packaging application, we're looking for a technology to seal or crimp kraft paper without using glue or plastic coating applied on the paper. Ideally, we want to seal 100% untreated paper without adding any other chemicals. Our preferred solution would be a folding of the packaging material |
Seeking Recyclable Closure for Paper Beverage Bottles |
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We are seeking technologies for a re-closable fiber-based closure for a paper beverage bottle that can be recycled in the paper stream. |
Seeking Recycling technologies for biodegradable films |
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We are looking for solutions to convert bio-based packaging back to starting materials or other high-value added chemicals (no fuels). |
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. |
Cancer diagnosis by ultrasensitive analysis of circulating miRNAs |
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New strategies are being developed for cancer diagnosis by ultrasensitive detection of miRNA species from liquid biopsies. The analysis of these tumor biomarkers based on luminescence has great potential, being able to postulate as well as effective tools for early diagnosis and monitoring of new treatments in cancer. |
Companion diagnostic for cutaneous and uveal melanoma |
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Companion diagnostic for cutaneous and uveal melanoma. Our combination drug therapy for metastatic melanoma offers an alternative treatment for patients that do not have the BRAF V600 mutation or for patients resistant to Vemurafenib. Additionally, our technology can be used as a prognostic test to predict the risk of metastasis in uveal and cutaneous melanoma. |
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