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BIRS Workshop — Mathematical Methods in Cancer Biology, Evolution and Therapy
14. Mai 2023 - 19. Mai 2023 • Banff, Alberta, Kanada
Veranstalter:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Zusammenfassung:
Present day biology generates a wealth of data from which tumor biology and tumor evolution can be inferred, and therapeutic strategies can be developed. Most clinical (and research) samples are comprised of a mixture of different cells, including multiple different populations of cancer cells (‘subclones’) and a variety of normal cell types. Effective use of these data thus requires data from individual cell types to be deconvolved. A number of subfields are independently developing mathematical and statistical deconvolution techniques. While at first glance these subfields are largely disparate, there are clear opportunities for synergies to be developed. This workshop will fill this gap by bringing together researchers from several of these fragmented subfields across a wide range of backgrounds (computational biology, mathematics, statistics, computer science, biomedicine, etc.) to provide a synergistic forum for cross-disciplinary learning, discussion and collaboration.
Eintrags-ID:
1499057
Verwandte Fachgebiete:
2
BIRS Workshop — Single-cell plus – data science challenges in single-cell research
02. Jul 2023 - 07. Jul 2023 • Banff, Alberta, Kanada
Veranstalter:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Zusammenfassung:
Cells are the fundamental building blocks of life. Recent advancement in biotechnology has allowed us to peek inside this every cell for better understanding of biology and human disease. Single-cell technology also generates big and complex data and brings about new data science challenges for computational and life scientists. The objective of this workshop is to bring together international leaders in diverse disciplines including mathematical, statistical, computational, biological and medical in a collaborative atmosphere to develop the collaborative capacity that will tackle various underlying data science challenges in single-cell research.
Eintrags-ID:
1499115
3
BIRS Workshop — Mathematical Methods for Exploring and Analyzing Morphological Shapes across Biological Scales
03. Sep 2023 - 08. Sep 2023 • Banff, Alberta, Kanada
Veranstalter:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Zusammenfassung:
The advances in imaging techniques have enabled the access to 3D shapes present in a variety of biological structures: organs, cells, organelles, and proteins. Since biological shapes are related to physiological functions, biomedical analyses are poised to incorporate more morphological data. For example, at the macroscopic scale, characterizing brain morphologies allows clinicians to quantify the progression of Alzheimer's disease. At the microscopic scale, the characterization of protein morphologies allows biologists to understand how these biomolecules react to chemical variations of their environment and helps detect promising pharmacological targets for the treatment of conditions ranging from neurological disorders to several cancers. Therefore, different biological scales ask a common statistical question: how can we build mathematical and statistical descriptions of biological morphologies and their variations? This workshop invites participants from different application fields to exchange mathematical and statistical methods for the study of biological shapes.
Eintrags-ID:
1499237
4
BIRS Workshop — Mechanics of Cells and Polymer Networks: Bridging Theory, Simulation and Experiment
10. Sep 2023 - 15. Sep 2023 • Banff, Alberta, Kanada
Veranstalter:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Zusammenfassung:
The interface between biology and quantitative disciplines including physics, mathematics and engineering is rapidly expanding. This is the result of many factors, but is largely driven by higher resolution spatial and temporal data from cutting edge imaging techniques, and increasing success in applying physical modeling techniques to biological problems. Mechanobiology is an especially rapidly developing field at the quantitative biology interface. This field describes how force is generated in biological systems, how force impacts chemistry, and how force generation is controlled by intracellular signaling pathways. Numerous feedforward and feedback interactions connect forces in cells to the dynamics of proteins and gene expression, resulting in highly nonlinear systems with complex and often non-intuitive behaviours.
Eintrags-ID:
1499170
5
Vascular and Metabolic Modeling of the Brain at Large Scale
10. Okt 2023 - 20. Okt 2023 • Université de Montréal, Kanada
Veranstalter:
Centre de recherches mathématiques (CRM)
Zusammenfassung:
While brain function originates in neuron, its energy is supported by the vascular system. With the recent development of anatomically detailed synthetic network models of the entire cerebral circulation, it is now possible to perform detailed simulations of physiology in realistic brains of small animals and humans on the computer. Modeling microcirculatory blood flow as a biphasic suspension of red-blood-cell and plasma, blood pressure, flow and hematocrit can be simulated in whole brains on the computer. Combining Poiseuille’s hemodynamic simulations with advection/diffusion equations describing oxygen diffusion, the human brain metabolism can now be modeled in-silico, by integrating tissue oxygen consumption and differential equations describing compartments associated with neural and glial brain cells. In parallel, energy metabolism regulation in the brain and its modeling has greatly progressed over the past few decades. This workshop will thus be focused on digital human brains, and their use to predict critical metabolic functions namely blood flow, oxygen extraction and cellular metabolism across all length scales down to the level of individual capillaries and cells. Courses and conferences will be combined with research presentations and practical workshops.
Eintrags-ID:
1531476
Verwandte Fachgebiete:
6
BIRS Workshop — The Canadian Network for Modelling Infectious Diseases: Progress and Next Steps
12. Nov 2023 - 17. Nov 2023 • Banff, Alberta, Kanada
Veranstalter:
Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Zusammenfassung:
What have we learned from the COVID-19 pandemic, and how can we be better prepared for the next global outbreak? This workshop brings together collaborative teams of modellers, statisticians, epidemiologists, genomics experts, public health decision-makers, and those implementing and delivering interventions who have been working together in a research network, aiming to increase Canada’s capacity for data-driven emerging infectious disease modelling to directly support future public health decisions. This BIRS meeting is an important opportunity for network members and collaborators to share the outcomes of their research over the two years since the network was launched with funding from the federal government. The questions being tackled at this workshop are grounded in public health needs and generated in partnership between research investigators and knowledge users – public health leaders, health administrators and policy-makers.
Eintrags-ID:
1499359
Verwandte Fachgebiete:
7
Inferring Neural Networks from Electrophysiological and Functional Imaging
20. Nov 2023 - 01. Dez 2023 • Université de Montréal, Kanada
Veranstalter:
Centre de recherches mathématiques (CRM)
Zusammenfassung:
While network models have been studied as independent systems, efforts in neuroscience in recent years has been put towards inferring networks of the brain from imaging data. Using probabilistic methods and inverse models, recurrent networks across populations and their change with disease have been characterized based on input from electrophysiological and functional imaging.

This sub-theme will cover the notions of network dynamics, discuss conceptual frameworks to model brain network topology and provide the latest progress in neural network inference from imaging data and associated methodological approaches at modeling networks of the brain.

Eintrags-ID:
1531497
Verwandte Fachgebiete:


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