Mathematical Modeling of Blood Cancer and Premalignancy
Explore a 33-minute lecture on mathematical modeling of blood cancer and premalignancy presented by Morten Andersen and Jordan Snyder from Roskilde University. Delivered on October 3, 2024, as part of the Ecology and Evolution of Cancer series and the Th…
Defining Selection in Somatic Evolution by Modeling Tumor-Stromal Interactions
Explore the complex dynamics of tumor-stromal interactions and their role in somatic evolution through a 35-minute lecture by David Basanta from Moffitt Cancer Center. Delve into the fascinating field of mathematical oncology as part of the Thematic Prog…
A Kinetic-Hydrodynamic Coupling Method for Self-Interacting Dark Matter (SIDM)
Explore a cutting-edge kinetic-hydrodynamic coupling method for Self-Interacting Dark Matter (SIDM) in this 26-minute conference talk by Sarah Schon from The Pennsylvania State University. Delve into the latest advancements in dark matter research and ga…
Fighting Drug Resistance with Math
Explore a compelling lecture on combating drug resistance through mathematical approaches. Delve into the innovative research presented by Doron Levy from the University of Maryland College Park as part of the Thematic Program on Mathematical Oncology. G…
Combining Machine Learning and Modeling Approaches to Forecasting Disease Progression
Explore innovative forecasting techniques for disease progression by integrating machine learning with modeling approaches in this cutting-edge presentation.
Mathematical Modelling of Premalignant and Disease Phases of Acute Myeloid Leukemia to Accelerate the Preclinical Development of New Therapies
Explore mathematical models of acute myeloid leukemia phases to advance preclinical therapy development. Learn innovative approaches in cancer research.
Computing with Dynamical Systems - From Implementations Towards Novel Concepts
Explore dynamical systems in computing, from practical implementations to cutting-edge concepts. Gain insights into complex systems and interdisciplinary physics applications.
Fast, Elegant, Set-oriented Numerical Analysis Using GAIO.jl
Explore GAIO.jl for fast, elegant set-oriented numerical analysis in Julia. Learn to compute attractors, leverage multiple dispatch, and utilize GPU acceleration for enhanced performance.
Accessibility Percolation for the Rough Mount Fuji Model
Explore accessibility percolation in the rough Mount Fuji model through a mathematical conference talk by Matt Roberts at CIRM.
Physics Problem: Block Sliding Down a Movable Wedge - Classical Mechanics Series
Solve a complex physics problem involving a block sliding down a movable wedge, with a bonus Python numerical model for practical application.
Exact Solutions to the Geometric Dynamics of Signal Propagation Through Transformers
Explore exact solutions to geometric dynamics of signal propagation in transformers, predicting their behavior as computational models.
Network Epidemiology - From Analytical Insights to Data-Driven Modeling of Contagion
Explore analytical insights and data-driven modeling techniques for understanding contagion spread in complex networks, enhancing epidemiological research and disease control strategies.
Innovation Diffusion Models
Explore innovation diffusion models and their applications in understanding how new ideas and technologies spread through society.
Tunable Rheology in Models of Dense Cellular Tissue
Explore tunable rheology in dense cellular tissue models. Gain insights into active matter phenomena and their applications in biological systems and engineered materials.
A Method to Coarse-Grain Multi-Agent Stochastic Systems with Regions of Multistability
Dive into a mathematical oncology seminar exploring coarse-graining techniques for multi-agent stochastic systems, focusing on regions of multistability in cancer modeling.
Can Gut Reactor Models Play a Role in Mathematical Oncology?
Explore the potential role of gut reactor models in mathematical oncology through Hermann Eberl's seminar on innovative approaches to cancer research.
Cancer Stem Cells - Part II
Dive into advanced concepts of cancer stem cells with Dr. Natalia Komarova, exploring cutting-edge research and theories in mathematical oncology.
Nonlinear Dynamics of Active Solids Through Nonreciprocal Mechanochemical Feedback
Explore nonlinear dynamics of active solids through nonreciprocal mechanochemical feedback. Gain insights into collective phenomena in energy-consuming systems and their applications in various fields.
RayTraceHeatTransfer.jl: 2D Enclosure Radiative Heat Transfer - JuliaCon 2024
Explore radiative heat transfer in 2D enclosures using RayTraceHeatTransfer.jl. Master Monte Carlo ray tracing, Exchange Factor matrices, and the Zonal Method for efficient problem-solving in high-temperature environments and engineering applications.
Attractors.jl - Next-Gen Multi-Stability Analysis for Dynamical Systems
Explore next-gen stability analysis in dynamical systems with Attractors.jl. Discover multistability detection, global stability quantification, and extendable interfaces for advanced applications in Julia.
Finite Element Modeling of Magnetic Fields in Julia
Explore finite element modeling of magnetic fields using Julia in this TU Delft master course. Implement mathematical models and collaborate on real-world projects with industry partners.