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An international team of researchers from ITMO University and the University of Washington in St. Louis has developed a new method for determining cell types in tissue samples. The scientists identified typical signs of genes activity in different cell types and, using this as a basis, made a model capable of recognizing different cell types in mixed samples. As this approach works for all tissues, it can be used to, for example, establish how the ratio of different cell types is associated with the survival of patients with different types of cancer. The results are published in Nature Communications.
How do scientists work with living cells? And how can advanced software be of help in this line of research? On March 14 at the seminar “The Fundamentals of NMR and GC-MS metabolic synthesis with the use of the SIMCA program”, professor Jacobus Johannes Marion Meyer from the University of Pretoria and his graduate assistant Sewes Alberts expanded on these issues. The event was organized by ITMO’s Biotechnologies of the Third Millennium International Research Center.
ITMO University researchers managed to determine players’ gender based on the data garnered via an online gaming platform. In this, they were one of the first to apply machine learning to analyze a large body of gaming data. The innovative approach has the potential to improve the personal recommendations system for a more targeted offering of games. It can also be used to detect gaming addictions. The research was presented at the AAAI Conference on Artificial Intelligence.
According to urban development specialists, Big Data analysis can help people form close-knit communities based on shared values and interests. This is the main objective of a new project with the working title ‘Affiliate-Friendly Advertising Network’, launched by the Quality of Urban Life Laboratory (QULLAB), a resident of ITMO’s Institute of Design & Urban Studies. What this network does is it gathers and analyzes data about citizens’ visits to restaurants, cafes and other eating spots in St. Petersburg. The laboratory’s project even became the winner of a competition organized by the Institute of Media, Architecture and Design as part of the In the City Conference.
A team of developers from Skolkovo, ITMO University and MIPT presented an online service called Knomics-Biota, which allows for a comprehensive study of intestinal microbiome genetic data. Using this service, you can figure out what types of bacteria are present in hundreds of gut metagenomes, their relative proportion, and the amount of vitamins and other beneficial substances they produce. With the help of an interactive interface, you can look at the results from different perspectives, which helps to identify the relationship between microbiota and nutrition, lifestyle and health. The research was published in BioData Mining.
A team of scientists from ITMO’s International Research and Education Center for Physics of Nanostructures, together with their colleagues from the Federal Institute for Materials Research and Testing (Germany) and ETH Zurich (Switzerland), have been awarded a grant by the European initiative ERA.Net RUS Plus. Their three-year project concerns the modeling and design of new functional nanomaterials with potential applications in biomedicine and diagnostics. As the researchers note, nanomaterials based on ternary quantum dots can be used to create a sensor platform with unprecedented filtering and sensitivity capabilities for the purpose of multiplexed single-cell pathogen analysis. In the future, results of this research can contribute to the development of more precise and compact devices used for fluorescence analysis of nanostructures.
The global web-platform, Dimensions has just become available to users across the world; scientists, investors, students and others can use it to gain extensive insight into modern science. The service provides information on tens of millions of scientific articles, patents, grants and clinical trials, as well as a great deal of other data, all of it cross-referenced. This platform is likely to help predict and determine the course of scientific development and identify the areas of study with the greatest potential.