Search by tag «Healthcare» 26 results
Breast cancer is one of the most widespread types of cancer in the world. In 2020 alone, it took the lives of 685 million women. What’s the most efficient way to treat this disease in conditions when few people are ready to undergo timely screening procedures? Can AI come to the rescue? Why are clinicians already studying programming languages and should we expect AI assistants at pharmacies? We asked these questions to Olga Puchkova, a radiologist and head of the Mammology Center at Ilyinskaya Hospital. In collaboration with ITMO’s public health sciences researchers, she is studying Russian cancer diagnostics methods and evaluating their efficiency.
ITMO Scientists Suggest New Synthesis Method For Nanoparticles Used in Cancer Treatment and Diagnostics
Researchers from ITMO’s ChemBio Cluster have suggested a new way of synthesizing magnetic nanoparticles for cancer treatment and diagnostics. Thanks to machine learning at the core of the new approach, the scientists can quickly select the properties of nanoparticles for efficient MRI diagnostics and hyperthermia treatment. With the new method, the synthesis of a single nanoparticle takes just a few seconds – compared to the hours required in the conventional experimental approach. The method was described in a paper published in Small.
ITMO is the only university in Russia where you can train to be a science communicator, develop services for the visually impaired, or become an infochemist. In fact, there are 10 Master’s programs at the university that will equip you with a unique set of interdisciplinary skills that’s unattainable at any other institution in the country. Explore them with this digest.
Recently, ITMO’s Infochemistry Scientific Center, the AI platform Sintelli, and the Moscow Center for Intelligent Healthcare organized a hackathon focused on predictive modeling in digital pharmacology. The participants brainstormed machine learning models that can accelerate the production of novel medicines, reduce their side effects, and, importantly, limit animal testing. Over 100 students from 47 Russian regions joined the contest, with the winners sharing the 1-million-ruble prize and securing their places in the online Master’s program Chemistry Software.
Artificial intelligence is becoming increasingly common in the medical field. Today, neural networks are used in diagnostics systems and to develop new medicines. But what about run-of-the-mill hospitals? Could AI improve the quality of everyday healthcare and reduce the workload for medical specialists? At ITMO University’s new laboratory Digital Technologies in Public Health, developers and medical specialists work together to put such systems into practice. We spoke to Anna Andreychenko, the head of the laboratory, about the benefits of automation in medicine and why clinicians shouldn’t be wary of AI.
With 10 years of experience in working at public clinics, cardiologist Lyubov Malyugina wishes to share her experience with others. But the path she chose to do that cannot be called conventional: the specialist decided to pursue her Master’s at ITMO and create her own product – a recommendation system that can help doctors prescribe medications to arrhythmia patients and reduce errors in a clinical setting. In her interview with ITMO.NEWS, Lyubov shares why she chose ITMO and how she plans to promote her idea.
As science grows more complex, successful researchers have to rely on more than experiments and calculations: AI is quickly becoming indispensable. Predicting the properties of molecules and materials for drug delivery, synthesizing compounds with set properties, and developing new materials – these are just a few of the tasks flawlessly accomplished by AI. For this article, we turned to ITMO’s Nikita Serov, an engineer at the Center for Artificial Intelligence in Chemistry, to talk about the doors opened by AI in natural sciences.
Researchers from ITMO University and Smorodintsev Research Institute of Influenza have suggested a multipurpose method that can detect coronavirus and influenza type A and B viruses in biological liquids. At the core of the novel method is surface-enhanced Raman spectroscopy (SERS) combined with machine learning, which help make it up to 85% accurate – meaning that it performs better than express tests (which produce false positive results in 11-48% of cases). Moreover, the new method compares favorably with PCR, too, as it takes minutes to complete. The solution is described in an article published in Biosensors.
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.
Carbon nanoparticles (or carbon dots) are a recent and lucky discovery that has managed to become one of the most popular scientific trends of the last 15 years. Their biocompatibility and solubility, among other properties, make them highly useful in diagnostics and therapy of some of the most severe conditions, as well as in biosensing, bioimaging, environmental monitoring, optoelectronics, and other fields. We caught up with Elena Ushakova, the head of the Laboratory of Light-Emitting Carbon Quantum Nanostructures and PI of the Functionalized Carbon Nanoparticles group, to ask her all about carbon dots, their synthesis, and the promise they hold.