Technologies

This innovative technology involves the use of a high-affinity, highly specific antibody that targets extracellular domains of connexin hemichannels (Cx26, Cx30, and Cx32). The antibody has been designed to reduce or inhibit the growth of brain tumors, particularly glioblastoma (GBM), and to alleviate the associated epilepsy. By blocking connexin hemichannels, the antibody interferes with pathological ATP release and other signaling mechanisms that contribute to tumor progression and neural hyperexcitability.

The technology we participate to develop, called "Zinc-Finger Artificial Transcription Factors (ZF-ATFs)", allows to design, realize and select artificial genes coding for proteins capable of recognizing and binding "potentially" any DNA sequence. We used ZF-ATF technology to reprogram the expression of "beneficial" genes capable of efficiently counteracting the negative effect of mutated genes related to rare diseases.

Nowadays, to properly design and develop advanced materials capable to preserve for long times their performance under aggressive environments such as power generation plants, renewables, nuclear reactors and electronics of new generation, transport on ground and on space, aeronautics, catalysis, biomedical implants, the optimization of metallurgical processes involved is crucial.

CNR-ISTEC develops geopolymer composites for thermostructural applications, such as: self-supporting cavities; thermal and acoustic insulation; thermal and fire barriers; high temperature coatings and damping; molds and cores for foundry; foams and refractory linings. Geopolymers are chemically bonded materials at T <300 ° C. Being inorganic polymers without water in the structure, they tolerate high temperatures: they are incombustible, do not emit gas or fumes and do not explode.

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.

An innovative approach for the treatment of diabetic and venous ulcers, characterized by a difficult healing process and therefore at potential risk of infection and therefore of hospitalization and amputation of the limb, is represented by the local administration of "bioactive" factors through the use of synthetic and/or biological matrices that allow a gradual and controlled release in order to obtain a better and faster healing.

Recently, nanoparticles and nanovesicles have been investigated as potential approaches for the treatment of neurodegenerative diseases. In particular, in the Biotech sector an increasingly deeper penetration of new treatment models and biological drugs based on cellular, subcellular and vesicle therapies is expected. The patent is based on the production of Myelin-based nanoVesicles (MyVes) produced by microfluidics, starting from myelin extracted from brain tissue. These vesicles find two major fields of applications as potential drugs or as supplements/nutraceuticals.

AIS aim is a robotized inclinometer measurement in standard inclinometer boreholes. The deep measurements have multiple applications, including: evaluating the rate of deep-seated ground deformation in landslide areas, evaluating the volume of deep-seated landslides and assessing landslide hazards. The AIS is composed by an electronic control manager, an inclinometer probe and an electric motor equipped with a high precision encoder for handling and continuous control of the probe in the borehole.

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.

Geopolymers belong to the class of chemically bonded ceramics: they are synthesized at low temperatures and are eco-friendly, as besides the low consolidation temperature required by the process they can be produced from secondary raw materials and industrial waste of various kinds, thus reducing the energy demand and the environmental impact of the entire production cycle. Materials such as fly ash, steel mill slag, biomass ash, sludge and silt, extractive residues, mineral and ceramic powders, organic or inorganic waste fibers, plastics, etc.