Publications by authors named "A A Vorobev"
Cerebral vein thrombosis is a rare, life-threatening condition that has now become more commonly diagnosed due to advancements in imaging techniques. Our purpose is to improve understanding of pathogenesis, diagnosis and pregnancy and IVF management in patients with a history of cerebral thrombosis. We present an overview of the modern tactics of anticoagulant therapy for cerebral thrombosis with a focus on pregnancy, the use of hormone therapy, and assisted reproductive technologies.
View Article and Find Full Text PDFLocal therapeutic action and targeted drug release are promising approaches compared to traditional systemic drug administration. This is especially relevant for nitric oxide (NO), as its effects change dramatically depending on concentration and cellular context. Materials capable of releasing NO in deep tissues in a controlled manner might open new therapeutic opportunities.
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- - Laser-based mid-IR photothermal spectroscopy (PTS) is a rapid and sensitive analytical method that utilizes advanced laser technology to capture the absorption characteristics of various materials, such as liquids or solids.
- - This study utilizes an external cavity quantum cascade laser (EC-QCL) to analyze a thin film of polymethyl methacrylate (PMMA) on a silicon nitride micro-ring resonator, demonstrating its effectiveness in creating an on-chip photothermal sensor.
- - The research highlights the optimal alignment and focusing techniques for the laser setup, showing that PTS can lead to compact, efficient sensors suitable for real-time monitoring in industrial applications.
Control of biological activity with light is a fascinating idea. "Caged" compounds, molecules modified with photolabile protecting group, are one of the instruments for this purpose. Adrenergic receptors are essential regulators of neuronal, endocrine, cardiovascular, vegetative, and metabolic functions.
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- The study develops a machine learning model to predict major adverse cardiac events (MACEs) in high-risk myocardial infarction (MI) patients, incorporating clinical, imaging, laboratory, and genetic data.
- It analyzes data from 218 MI patients over 9 years, focusing on the influence of the VEGFR-2 gene variant as part of the overall risk assessment.
- The CatBoost algorithm performed best, with statin dosage and genetic factors identified as key predictors of adverse events, highlighting the potential for personalized treatment approaches based on genetic information.