Unit for Mathematical and Computer Modeling of Complex Systems (UMMISCO) has the following research output in the current window (1 September 2024 - 31 August 2025) of the Nature Index. Click on Count ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

If we have an accurate model of how a disease works, for example Alzheimer’s is a disease which has a huge unmet need in terms of lacking good treatment options, then we can try to intervene to ...

The GSMM Camp is a weeklong workshop directed towards interdisciplinary problem solving whose aim is graduate student education and career development. The GSMM Camp is designed to promote a broad ...

Researchers demonstrate how mathematical modeling combined with dynamic biomarkers can be used to characterize metastatic disease and identify appropriate therapeutic approaches to improve patient ...

Researchers are using computer models to simulate COVID-19 infections on a cellular level - the basic structural level of the human body. The models allow for virtual trials of drugs and vaccines, ...

Deputy Director of the DSI-NRF Centre of Excellence in Mathematical and Statistical Sciences and Senior Lecturer in the School of Computer Science and Applied Mathematics, University of the ...

From her early days in school, Nicole Rosato realized that math was one of her favorite subjects. This past May, Rosato, who is from Paramus, N.J., became the first student to graduate from RIT’s new ...

Researchers use mathematical modeling to help explain why CAR T cells work in some patients and not in others. Chimeric antigen receptor T-cell therapy, or CAR T, is a relatively new type of therapy ...

Abstract: Osteoarthritis (OA), the most common form of joint disease, involves the progressive degradation of articular cartilage and is a major cause of chronic disability in aging populations. Since ...

Using tumor growth modeling and informed neural networks as early predictive clinical endpoints. 2007 Continuous dispersion for invasive motility. 2009 Invasive growth with cell density and oxygen.