June 13-17, 2021
Annual Meeting of The Society for Mathematical Biology 
University of California, Riverside
https://www.smb.org/meetings/

Scientific Program: 

The conference theme is “Mathematics & Personalized Medicine”.  Modern mathematical models could in the near future lead to customizing treatments for  specific patients by incorporating patient-specific data. Development of multi-scale mathematical models of the key molecular biology and cellular biology processes, biochemical networks personalized with omics data, structural and physicochemical analyses, heterogeneous tissue architecture, and physiology, could lead to detailed comparison of many different treatments, including different drugs, routes of administration, doses and schedules by virtual clinical trials that incorporate models of many patients. Due to the multi-scale nature of the models, clinicians could identify emergent therapeutic or toxic effects of treatments, as well as conditions under which therapies fail. These models can translate knowledge from in vitro cell culture to in vivo preclinical and clinical studies, which is important because it is known that observed mechanisms in vitro do not always hold in vivo. These models can help researchers and clinicians translate therapies  from animals to humans, or from microphysiological systems (‘body-on-a-chip’) to patients. Also, combining omics data, machine learning approaches and other statistical methods with novel mechanistic mathematical modeling approaches could lead to better understanding and treatment of many human disease including, among others, cancer, hematological diseases, both genetic and infectious, chronic wounds in diabetic patients as well as brain diseases. At the same time, it would be crucial.

Co-organizers:

Mark Alber, Department of Mathematics, Center for Quantitative Modeling in Biology, University of California, Riverside

Paul Atzberger, Department of Mathematics, University of California, Santa Barbara

Sunny Canic, Department of Mathematics, University of California, Berkeley

William Cannon, Systems Biology, Pacific Northwest National Laboratory

Weitao Chen, Department of Mathematics, Center for Quantitative Modeling in Biology, University of California, Riverside

Amina Eladdadi, Department of Mathematics, The College of Saint Rose, Albany, NY

Robert Guy, Department of Mathematics, University of California, Davis

Alexander Hoffmann, Institute for Quantitative and Computational Biosciences, University of California, Los Angeles

Chiu-Yen Kao, Department of Mathematics, Claremont McKenna College

Alison Marsden, Departments of Pediatrics and Bioengineering, School of Medicine, Stanford University

Andrew D. McCulloch, Department of Bioengineering, School of Medicine, University of California, San Diego

Dimitrios Morikis, Department of Bioengineering, Center for Quantitative Modeling in Biology, University of California, Riverside

Qing Nie, Department of Mathematics, NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine

Lisette de Pillis, Department of Mathematics, Harvey Mudd College

Russell Rockne, Mathematical Oncology Division within Beckman Research Institute at City of Hope

Suzanne Sindi, Department of Applied Mathematics, University of California, Merced