Technologies

Current standard SPECTs, in order to achieve high resolutions, use a multi-pinholes technology that requires numerous data processing to limit the effects of image distortion. The proposed SSR-SPECT scanner, uses a parallel-hole collimator and therefore does not require numerical reprocessing of the data to obtain correct information on the images, while assuring spatial resolutions close to those of the pinholes through the acquisition of sequences of images shifted from one to another.

Time-correlated single photon counting (TCSPC) is regarded as the “gold-standard” method for fluorescence lifetime measurements. However, TCSPC requires using highly sensitive detectors, not suitable for measurements under bright light conditions, thereby making the use impractical in clinical settings. The invention described here solves this problem by synchronizing the fluorescence detection with an external light source.

The present invention relates to the biomedical sector of the treatment of lung diseases and related symptoms. In particular, the present invention provides compositions and methods based on the use of selected polymeric biomaterials, in combination with stem cells and/or their secretome, capable of synergistically improving the development, regeneration and repair of chronic lung injuries and related symptoms.

The aim of the present invention is to develop a modular scintigraphic device, with high spatial resolution, capable of creating investigation areas of various shapes and sizes, of compact form and of being used in different types of applications.

We have identified the presence of the poorly characterized precursor proNGF-A in human tissues, deposited its coding nucleotide sequence (GenBank MH358394) and demonstrated its neuroprotective and neurotrophic activity in vitro and in vivo. We inserted mutations into the native molecule, identified through computational analysis, which allow proNGF-A production by eukaryotic expression systems, through a method currently validated on a laboratory scale.

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.

Safe, efficient and specific nano-delivery systems are increasingly needed for precision and regenerative medicine and targeted therapies (e.g. anticancer and antimicrobial therapies), as well as for  the cosmetic and nutraceutical sectors’ applications. Despite the appreciable success of synthetic nanovectors, like for example liposomes, their clinical and market application is hampered by some limitations: • large scale production, • low cost production • intrinsic toxicity • limited cellular uptake • limited consumer acceptance.