Organotypic models of ovarian cancer are 3D models containing defined extracellular matrices, such as collagen and fibronectin, ovarian cancer cells with specific genetic/molecular characteristics, and one or more cancer-associated stromal cell types (fibroblasts, mesothelial cells, endothelial cells) to mimic specific metastatic niches of ovarian cancer (omentum, peritoneum, interstitial stroma) and the complex interactions within tumor tissues.
Technologies
In this section it is possible to view, also through targeted research, the technologies inserted in the PROMO-TT Database. For further information on the technologies and to contact the CNR Research Teams who developed them, it is necessary to contact the Project Manager (see the references at the bottom of each record card).
Displaying results 1 - 15 of 52
4Ts Game was born in ITD in 2017 to indicate a board game for teacher training, which aims to develop skills in designing collaborative learning activities. The game was originally conceived as a 'tangible' game, consisting of a board and 4 decks of paper cards which contain inputs that guide the teachers/players' design process. Subsequently the game evolved and was developed in its digital version. In this version, developed in Unity and with an underlying knowledge base in Prolog, the game is able to provide feedback to teachers regarding the design/game choices made.
The Proof-of-Concept A.L.I.C.E. or "Actuators based on Light sensitive CompositE" aims at the development of innovative materials through 3D/4D printing processes and uses them as actuators in the fields of photovoltaics, concentrated solar power, thermodynamic solar, and other applications such as optical deflectors, optical microvalves, and optical switches.
Ageing characterization of Balsamic Vinegar of Modena (BVM) and Traditional Balsamic Vinegar of Modena (TBVM) by the combined use of Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis. Our database allows to differentiate BVM from TBVM samples. Moreover, within BVMs, samples with ageing <3/>3 years can be discriminated and within TBVM, samples with ageing between 12 and 25 years as well as >25 years can be discriminated.
AIDD is an integrated tool and a radically new way to discovery new drugs for neurodegenerative diseases (Alzheimer’s, Epilepsy, Ageing, etc.).
Aliophen-XP is a highly concentrated polyphenolic composition derived from Aliophen®, a patented formulation based on malt and hops (Patent No. 102017000096298). Developed to enhance the original formulation, Aliophen-XP is produced through a specialized process that removes components potentially interfering with the biological activity of the bioactive compounds naturally extracted from malt and hops.
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 proposed technology consists of a portable device for monitoring the freshness of fish, based on its smell. The device is based on a gas sensor and pattern recognition software to correlate the sensor signal to the freshness of the food. The technology is designed for its integration into domestic or industrial refrigerators.
Combined use of High-Resolution Nuclear Magnetic Resonance spectroscopy (NMR) and multivariate statistical analysis for the differentiation of PDO Parmigiano Reggiano samples according to ripening and for the differentiation of PDO Parmigiano Reggiano from “Grana type” products available on the market.
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.
C-ImmSim is one of the most advanced computational models of the immune system. The software resorts to (bit or amino acid) strings to represent the “binding site” of cells and molecules. C-ImmSim is an agent-based model that includes the major classes of immune cells of the lymphoid lineage and some of the myeloid lineage. Helper T cells are divided into five phenotypes. B cells and plasma B are also divided into two phenotypes.
The final technology will add polarimetric capability to imaging cameras in the NUV/optical, providing simultaneous measurements of the different polarization states of the light. This will be obtained by the development of an innovative coating based on nanostructured emissive materials sensitive to the polarization of the incident light. A double layer film of two organic systems will be coupled to image detectors so that the two polarization components of the incoming light are converted into two different colors.
Shape memory alloys (SMA) have attracted increasing interest in recent years as materials suitable for solid state refrigeration. One of the most attractive methods is mechanical deformation to induce the phase transformation and to generate and absorb heat through the elastocaloric effect.
The portable device is intended to assess exposure to electromagnetic fields produced by an MRI equipment. The device (dosimeter) allows to improve the analysis and study of the problems related to the exposure of the operators, starting from the technical-scientific aspects related to the exposure, also allowing to create a manual of best practices as well as to improve the professional training of operators.
Digital Eye is an innovative, rapid and high-precision intelligent computer vision system for the non-destructive and contactless evaluation of quality and shelf-life of whole or fresh-cut fruit and vegetables. It integrates advanced vision and artificial intelligence technologies to estimate parameters useful to evaluate the quality of fruit and vegetables, during both the harvesting phase and the cold chain.