- Radiopharmaceutical Chemistry and Applications
- Mathematical Biology Tumor Growth
- Angiogenesis and VEGF in Cancer
- Cancer Cells and Metastasis
- Cancer, Hypoxia, and Metabolism
- Radiation Therapy and Dosimetry
- Nonlinear Dynamics and Pattern Formation
- Monoclonal and Polyclonal Antibodies Research
- Advanced Radiotherapy Techniques
- Effects of Radiation Exposure
- Field-Flow Fractionation Techniques
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Mathematical and Theoretical Epidemiology and Ecology Models
- Radioactive Decay and Measurement Techniques
- Cancer Treatment and Pharmacology
- 3D Printing in Biomedical Research
- Chemical Reactions and Isotopes
- Renal cell carcinoma treatment
- Gene Regulatory Network Analysis
- Graphite, nuclear technology, radiation studies
- CAR-T cell therapy research
- stochastic dynamics and bifurcation
- Developmental Biology and Gene Regulation
- Atherosclerosis and Cardiovascular Diseases
City Of Hope National Medical Center
2024-2025
City of Hope
2023-2024
P.N. Lebedev Physical Institute of the Russian Academy of Sciences
2015-2024
Beckman Research Institute
2024
Peoples' Friendship University of Russia
2020-2023
Institute of Numerical Mathematics
2015
Russian Academy of Sciences
2015
Moscow Institute of Physics and Technology
2013
Lomonosov Moscow State University
2007
Introduction Cancer combination treatments involving immunotherapies with targeted radiation therapy are at the forefront of treating cancers. However, dosing and scheduling these therapies pose a challenge. Mathematical models provide unique way optimizing therapies. Methods Using preclinical model multiple myeloma as an example, we demonstrate capability mathematical to combine achieve maximum response, defined delay in tumor growth. Data from mice studies radionuclide (TRT) chimeric...
Abstract Prior studies have shown that approximately 40% of estrogen receptor positive (ER+) breast cancer (BC) patients harbor immune signaling defects in their blood at diagnosis, and the presence these predicts overall survival. Therefore, it is interest to quantitatively characterize measure errors systems patients. Here we propose a novel approach combining communication theory signal processing concepts model ligand discrimination cells peripheral blood. We use specificity molecular...
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<p>Additional mathematical reasoning and simulation results.</p>
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