Publications by authors named "E S Sirota"
To make investigational drug candidates available to patients sooner, timelines for drug development are becoming shorter. Synthesis route scouting for active pharmaceutical ingredients (API) and drug product development often must occur simultaneously, requiring formulators to make decisions regarding drug product process selection before commercial API route finalization. Alternatively, the formulation strategy may be locked, thereby constraining drug substance processes with strict API attribute requirements.
View Article and Find Full Text PDFAim: To evaluate the automated medical decision support system "Sechenov.AI_nephro" in the treatment of patients with renal parenchymal tumors.
Materials And Methods: The beta version of the web-platform "Sechenov.
Article Synopsis
- The study aims to evaluate if machine learning can effectively predict early outcomes of laparoscopic nephron-sparing surgery (NSS) for kidney tumors, taking the surgeons' experience into account.
- Analyzing data from 320 surgery cases by four surgeons, the research utilizes eXtreme Gradient Boosting and the SHAP method to identify key factors influencing surgical success, including patient demographics, tumor characteristics, and the surgical learning curve.
- Results show that the SHAP method offers valuable insights from the machine learning model, highlighting the importance of certain new features in predicting surgical outcomes such as procedure duration and postoperative kidney function.
Spontaneous assembly of condensate networks during the demixing of structured fluids.
Proc Natl Acad Sci U S A
September 2024
Liquid-liquid phase separation, whereby two liquids spontaneously demix, is ubiquitous in industrial, environmental, and biological processes. While isotropic fluids are known to condense into spherical droplets in the binodal region, these dynamics are poorly understood for structured fluids. Here, we report the unique observation of condensate networks, which spontaneously assemble during the demixing of a mesogen from a solvent.
View Article and Find Full Text PDFAim: To evaluate the possibilities of textural analysis of 3D models in differentiating the degree of nuclear dysplasia of the clear cell renal cell carcinoma (ccRCC).
Materials And Methods: The specimens after surgical treatment of 190 patients with ccRCC were analyzed. In all cases, nephron-sparing surgery (NSS) was performed through laparoscopic access.