Technologies

The herein described technology aims at the development of a platform of injectable hydrogels for application as drug carriers for localized delivery or in the regenerative medicine field. The use of ad-hoc synthesized poly(ether urethane)s (PEUs) as hydrogel forming materials is a common property which characterizes all the systems belonging to this platform.

NANOINCICLO is a technology based on the use of nanostructured cyclodextrins (CDs) for the targeted delivery of drugs such as anticancer drugs, photodynamic drugs, anti-inflammatories, antivirals, antibacterials, nutraceuticals and metals with therapeutic and diagnostic properties. Successful CDs for the proposed technology are FDA-approved or in advanced pre-clinical investigational stage and include natural and functionalized, polymeric, and amphiphilic monomeric CDs.

The platform allows the deployment of a sensor network with peripheral nodes spread on the crop fields or on the environment for the monitoring of crop parameters/environmental parameters. The network architecture integrated LoRa peripheral nodes for short-medium range communication and star-center NB-IoT based for long range communication. It includes a web server and MySQL database for data storage and visualization. The network architecture is scalable to adapt to the area to monitor.

IMM has developed tactile sensors for the detection of objects and surface and for the handling of objects with humanoid robots (e-skin). These devices can be integrated on ultra-flexible and high conformable substrates and they can be used for multiple applications: 1) for a correct interaction with objects distributed in complex environment; 2) for a safe short-range interaction between humanoid robot and humans; 3) for fabricating smart wearables for the detection of biometric parameters (e.g. heartbeat); 4) for remotely control rovers with wearable gadgets.

This form describes a programmable, autonomous and stand-alone imaging system for the acquisition and processing of images containing subjects whose size is larger than 1cm (e.g. gelatinous zooplankton, fishes, litter, manufacts), form the seafloor or along the water column, in shallow or deep waters. It is capable to recognize and classify the image content through pattern recognition algorithms that combine computer vision and artificial intelligence methodologies.