(Ab)normal Language: HSE Researchers Present Digital Tools for Assessing Mental Health Problems
Often, individuals with neurological or mental disorders exhibit distinctive language patterns. In modern clinical practice, digital tools can play a significant role in supporting language therapy and rehabilitation for persons with language disorders. Additionally, in the future, digital tools could assist healthcare specialists in assessing the severity of symptoms associated with such disorders.
Analysing Genetic Information Can Help Prevent Complications after Myocardial Infarction
Researchers at HSE University have developed a machine learning (ML) model capable of predicting the risk of complications—major adverse cardiac events—in patients following a myocardial infarction. For the first time, the model incorporates genetic data, enabling a more accurate assessment of the risk of long-term complications. The study has been published in Frontiers in Medicine.