Search by tag «Diagnostics» 13 results

• ITMO Researchers Succeed in Accelerating Development of Autoimmune Disease Treatments

  Researchers at ITMO have created an algorithm that will facilitate the development of medicines for autoimmune diseases. The developers used machine learning to search for inhibitors of spleen tyrosine kinase (Syk) – a protein that plays a key role in the development of immune thrombocytopenia. Using the new method, the team has identified over a hundred candidate molecules that could be used in treatments. The resulting paper was published in Journal of Cheminformatics.

  21.05.2025

• Health Data Scientist Yuri Rykov on Early Diabetes Diagnostics and AI in Medicine

  In 2024, over 5.5 million cases of diabetes were registered in Russia, the majority of which (5.1 million) were type 2 diabetes. This is a tricky disease: for a long time, it can be almost asymptomatic, with many patients failing to notice that anything's amiss. Complications and even disability can be avoided with early diagnostics. Yuri Rykov, a health data scientist who has recently joined the ITMO Fellowship program, is working on a new system that will help detect pre-diabetes symptoms and stop the disease in its tracks. We spoke with Dr. Rykov about his project and the future of AI in medicine.

  12.05.2025

• Cardiac MRI Now Processed in Minutes With ITMO AI Algorithm

  Researchers from ITMO and Almazov National Medical Research Centre used deep learning to develop a way to quickly detect cardiac fibrosis – with an algorithm that divides a cardiac image into 17 segments and then evaluates the location and amount of fibrosis tissue in each of them. With the new algorithm, clinicians won’t have to do the complicated MRI analysis, which would significantly facilitate the selection of treatment for heart attacks and other cardiovascular diseases. The results of the study, supported by the Russian Science Foundation, were published in Biomedical Signal Processing and Control.

  17.03.2025

• ITMO Researchers Discover New Acoustic Force for More Accurate Shape-Based Sorting of Cells

  Scientists at ITMO University have found a new lateral recoil force that affects non-spherical particles in an acoustic field. The new force will make it easier to extract cells of a certain shape from blood or other liquids – such as elongated platelets or spherical leukocytes – which will be useful for developing new, more accurate, and affordable methods for diagnosing various diseases. The findings were reported in Physical Review Applied and highlighted in Physics Magazine.

  21.01.2025

• First in the World: ITMO Researchers Train DNA Constructs to Detect Cancer Cells Based on Cancer Marker Concentration

  Researchers from ITMO University have developed DNA constructs based on antisense oligonucleotides that can detect different cancer marker concentrations in cells. Thanks to this capability, the DNA constructs activate only in cancer cells with high concentrations of cancer markers, cleaving the RNAs of genes responsible for the cells’ viability. At the same time, healthy cells, even with several copies of cancer markers inside, remain untouched. With this solution, target cancer therapy will become more accurate, efficient, and safe. The new DNA constructs were described in a paper published in Chemical Communications. 

  17.07.2024

• ITMO Scientists Suggest Novel Nanoparticle-Based Cancer Treatment

  Cancer is the second most common death cause in the world, which in 2020 took the lives of nearly 10 million people – every sixth death, according to WHO. Globally, researchers are developing new, more efficient treatments for oncological diseases. Scientists from ITMO also contribute to these efforts: recently, they have come up with a universally applicable magnetic particle from zinc ferrite and manganese ferrite that can facilitate both cancer diagnostics and treatment. The new method increases the efficiency of radiotherapy by 40%, and during magnetic hyperthermia it can heat cancer cells in several seconds, while also securing less exposure for the healthy cells. This study was published in Journal of Materials Chemistry B.

  07.03.2023

• New Diagnostic System for Helicobacter pylori Detection Suggested at ITMO

  Scientists from the Research Laboratory for Spectroscopy of Biological Objects have come up with a new diagnostics system that detects Helicobacter pylori bacteria with a 98% accuracy level. The new device is easier to use and relies on Russian-produced components. How does it work? Learn from this article.

  20.02.2023

• ITMO Associate Professor Elena Koshel on What DNA Robots Could Mean for Medicine

  During the third scientific meetup in a recently-introduced series, Elena Koshel, an associate professor at ITMO University’s ChemBio Cluster and head of the Microbiology team, discussed DNA robots and how specialists at SCAMT are using them to develop a new system for express diagnostics.

  28.01.2021

• From Science to Business: ITMO University Hosts UMNIK Finals in St. Petersburg

  The participants who had passed the first stage got the chance to present their projects in front of the jury in person, while applicants from other cities will have the opportunity to do this during an online meeting. 

  21.09.2020

• ITMO Bioinformatics Team Wins MEDIC International Competition

  The tournament’s participants had to create an algorithm that would use data on microbiota to identify whether a patient has inflammatory bowel disorders. The team from St. Petersburg became the only ones to win two of the competition’s categories.

  24.08.2020