Covid-19 Innovation Challenges by Innoget posted this:COVID-19 Rapid Diagnostic KitDesigning and developing vaccines, cures and diagnostic kits can be considered as the first priority for every country which is in the first line of fighting against coronavirus. Now there is only PCR test and IgG/IgM test for COVID-19 assessment. One of the most important problems of this diagnostic test is the time needed by the device to detect infected persons. This problem makes big companies in the field of pharmaceutical and medical devices manufacturing to design and develop rapid test kits. Our research team found that there are some specific proteins on the viral membrane which can make some reagents undergo a specific chemical reaction. Every reaction has a specific product related to substrates, so by detection of products with indicator reagents we are able to identify the virus in saliva. Indicator reagents usually change the reaction mixture color so by color change we can approve that the person is infected by COVID-19.
Montserrat Sole Castellvi posted this:
Project Manager at Knowledge Innovation Market
Technology Transfer Office
Medical University of Łódź posted this:In vivo and in vitro experimental laboratory complexKeeping animals to research projects as well as own cultures. Cytotoxicity of a medical device in the form of an extract using in vitro assays: NRU, MTT, XTT, colony formation. Research projects in the field of neurology, orthopedics, toxicology, experimental surgery, oncology, metabolic and behavioral research (AnyMAZE, Morris pool, the cage of fear, IntelliCage) Conducting studies using GMOs. Training in procedures on laboratory animals. Renting test equipment.
Cracow University of Technology posted this:Comprehensive method to assess the technical condition of the pressure equipment of installation operated in the chemical and petrochemical industryA comprehensive method to assess the technical condition of the pressure equipment of installation operated in the chemical and petrochemical industry, with the use of acoustic emission signal analysis, structure stress field and the degradation st The algorithm for the assessment of the technical condition of pressure equipment of chemical and petrochemical installations, subjected to the long-term operation, allows to determine the damage degree of the material and allows to predict the further development of degradation processes in a function of time. The proposed approach to the problem of safe operation of devices is fundamentally different from the solutions which are currently used in industrial practice. Currently, the supervision of these objects is based mainly on standard non-destructive testing methods. The main limitation of used methods is the lack of the possibility of both examining the object in its entire volume and testing the device in working conditions. Developed algorithm allows to effectively solve current problems in the diagnosis of chemical installations related to the assessment of their technical condition and determination of the conditions for further operation in real time. The algorithm is particularly recommended for monitoring devices in which adverse damages occur due to the long-term operation.
UACOOPERA University of Aveiro posted this:
Technology Transfer Office at uacoopera
Technology Transfer OfficeView Profile
Fundación para la Investigación Biosanitaria de Andalucía Oriental (FIBAO) posted this:Predict method of Pregnant Gestational ageDespite the great effort among all sectors of health, the rate of PD remains the "big problem" for obstetricians, neonatologists and other medical specialists, both the difficulties related to the care and complications of those born and their prognosis. long-term. Because PD, in addition to increasing perinatal morbidity and mortality, causes neurological damage and affects development in newborns, there is a great need to identify women at risk of preterm delivery and includes the mechanisms that culminate in PP. method that serves to predict, with clinical and analytical variables, the week of gestation in which delivery will occur.
Laijo Jose posted this:
Manager-Tech Transfer at Centre For Future (CFF)
Technology Transfer OfficeView Profile
Center for Technology Transfer and Commercialization of Novosibirsk State University posted this:Plasma sensors for ultra-small concentrations of chemicalsPlasmon sensors of ultra-small concentrations of chemical substances have been developed in the laboratory of the University (Russia). The sensors are used in medicine, pharmaceuticals, safety systems and R&D to improve the sensitivity of IR spectroscopy devices. The detector installed in the system enables to increase 100-10000 detectability for a wide range of organic and inorganic substances. The authors are looking for partners for commercial agreements and technological cooperation.
University of Granada (OTRI) posted this:Dual Probes for Flow Cytometry and Mass CytometryResearchers of the University of Granada have developed probes based on nanoparticles, both fluorescent and functionalized with metals, which act as dual probes, and can be used for both flow cytometry (FACS –Fluorescent-Activated Cell Sorting) and mass cytometry (CyTOF -Cytometry by Time-Of-Flight-). The probes can be used for bar coding of living cells or carrying out in vivo studies of different cell lineages through cell co-cultures as well as the activation of drug precursors through cytoplasmic catalysis of organometallic reactions inside living cells.
Fundació URV posted this:A robust breast cancer computer-aided diagnosis systemWe analyze breast cancer in mammographies, ultrasonographies, magnetic resonance imaging (MRI) and thermographies. Our analysis includes mass/normal breast tissue classification, benign/malignant tumor classification in mammograms and ultrasound images, tumor detection in thermograms, mammogram registration and analysis of the evolution of breast tumors. We also quantify and visualize the evolution of breast tumors in patients undergoing medical treatment. While the previous works mainly focus on analyzing one type of breast images, we implement a robust CAD system for detecting, classifying and studying the evolution of breast cancer. This CAD system analyzes breast cancer in several types of medical images. To implement our CAD system, we use computer vision, pattern recognition and machine learning methods. We also need to collect a large scale breast cancer dataset from hospitals. This dataset should include mammograms, ultrasound, thermograms and MRI images for the same patients. Our CAD gives accurate diagnosis results because it gathers information from different sources.
Universidad de Alicante posted this:Solid-state laser with COPV as active compoundThe research group “Physics of condensed matter” of the University of Alicante has developed a new solid state laser (OSL) where the active compound comprises carbon-bridged oligo(p-phenylenevinylene) (COPV). The main advantages of this technology are photostability, miscibility, processable in thin layers and effective for laser generation at different wavelengths. It can be used in the following industrial sectors: Spectroscopy, biosensors, chemical sensors and optical communications. The research group is looking for companies interested in acquiring this invention or adapting it to their requirements.
DIT Hothouse posted this:Optimisation of Posterior Spinal Dynamic (PSD) Stabilisation SurgeryOptimising spinal surgery techniques through the use of a hip and spine simulator and a tension and torsion test machine to treat spinal patient such as those with crushed vertebra and spinal deformities, like scoliosis.