
Exploring diffusion in epidemiology models, including SIR equations and reaction-diffusion systems, with applications to COVID-19 spread and the impact of individual behaviors on epidemic dynamics.

Explore mathematical models for personalized medicine, focusing on glioblastoma and immunotherapy. Learn how these tools aid in optimizing individual cancer treatments and predicting tumor evolution.

Explore stability and asymptotic behavior of fronts in bidomain models with Hiroshi Matano's in-depth analysis and insights.

Explore Turing's reaction-diffusion system and its applications in biology, from animal patterns to agent-based models. Gain insights into theoretical frameworks for understanding complex biological phenomena.

Explore the intersection of biology and physics, covering topics from molecular evolution to ecology. Learn about physical constraints, evolutionary outcomes, and mathematical models in living systems.

Explore biological pattern formation through nonequilibrium physics, from snake pigmentation to tissue development. Discover emergence, hydrodynamics, and reaction-diffusion models in this comprehensive lecture on complex biological systems.

Explores indirect diffusion in reaction-diffusion systems, showing how non-diffusing species can still reach equilibrium through interactions with diffusing species and reversible reactions.

Explore chemically active droplets and their properties in this advanced physics lecture, part of the Boulder School series.

Explore chemically active droplets and their fascinating properties in this advanced physics lecture by D. Zwicker.

Explore the fascinating world of chemically active droplets with expert D. Zwicker, delving into their properties, behavior, and applications in physics.

Explore AI-driven techniques for predicting heart rhythm disorders using spatio-temporal imaging data, combining fluorescence and ultrasound imaging to overcome diagnostic limitations.

Explore Turing patterns in mathematical biology, examining their formation and applications in biological systems. Gain insights into this fascinating intersection of mathematics and biology.