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Systems Biology

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Master computational modeling and network analysis to understand complex biological systems, from cell dynamics to disease progression. Learn through courses on Coursera, MIT OpenCourseWare, and YouTube, using tools like System Modeler to build predictive models for cancer research, drug discovery, and personalized medicine.

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International Centre for Theoretical Sciences
Dynamical Systems Applied to Biology - Part 1

Explore dynamical systems in biology, focusing on applications and mathematical approaches to understand complex biological processes and phenomena.
- YouTube
- 1 hour 31 minutes
- Self-Paced
- Free Video
EDGE AI FOUNDATION
Biology-inspired Space Imaging with Neuromorphic Systems

Explore how biological systems inspire innovative space imaging technology through neuromorphic systems, focusing on advanced sensing and processing methods for space applications.
- YouTube
- 36 minutes
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- Free Video
Thomas Evans
Sensory Systems in Biology - Chapter 44 Overview

Explore the intricate world of sensory systems, focusing on mammalian vision and hearing, with insights from recent scientific research.
- YouTube
- 50 minutes
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- Free Video
International Centre for Theoretical Sciences
Population Dynamics in Quantitative Systems Biology

Explore the mathematical foundations and theoretical principles of population dynamics in ecosystems, focusing on biodiversity, stability, and complex species interactions.
- YouTube
- 1 hour 31 minutes
- Self-Paced
- Free Video
International Centre for Theoretical Sciences
Tutorial on Probability and Stochastic Processes in Quantitative Systems Biology

Dive into fundamental concepts of probability and stochastic processes, exploring theoretical frameworks essential for understanding complex ecological systems and biodiversity dynamics.
- YouTube
- 1 hour 36 minutes
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- Free Video
BPPB Seminar
Hamiltonian Biology in Physical Systems

Explore the intersection of physics and biology through Hamiltonian principles and their applications in biological systems and processes.
- YouTube
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Master hands-on bioinformatics skills including RNA-seq analysis, mathematical modeling, protein structure prediction, and drug interactions using R, Linux, and visualization tools.
- Swayam
- 8 weeks
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- Free Online Course
TED
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Explore a revolutionary approach to cancer treatment as Danny Hillis challenges conventional thinking and proposes innovative solutions based on genomics and proteomics.
- YouTube
- 23 minutes
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Sloppy Models, Differential Geometry, and Why Science Works

Explore how complex systems can be modeled despite parameter uncertainties, using differential geometry to understand 'sloppiness' and its implications for scientific comprehension and prediction.
- YouTube
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The Laws of Life, Time and Chance

Explore the intersection of physics and biology, uncovering mathematical frameworks for understanding life, time, and probability. Discover how chance governs cellular behavior and impacts complex biological phenomena.
- YouTube
- 48 minutes
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What is Lyfe? Towards a Biology of Context and Complexity

Exploring a multidimensional view of biology beyond genomics, emphasizing history, context, environment, and narrative to reframe our understanding of life and its complexities.
- YouTube
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Mathematical Biology: Pattern Formation in Biology - Lecture 2

Delve into reaction-diffusion models for biological pattern formation, exploring Turing's pioneering work on morphogen interactions, analysis techniques, and pattern emergence conditions across various domains.
- YouTube
- 50 minutes
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Mathematical Biology: Pattern Formation in Biology - Lecture 3

Delve into reaction-diffusion models for biological pattern formation, exploring Turing's pioneering work on morphogen interactions, analysis techniques, and pattern emergence across different domains.
- YouTube
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Mathematical Biology: Pattern Formation in Biology - Lecture 1

Explore reaction-diffusion models for biological pattern formation, pioneered by Alan Turing, and learn how to analyze conditions required for patterns to emerge in different domains.
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The Mathematics of Wound Healing

Explore how mathematics, physics, and biology combine to understand the complex dynamics of wound healing in this insightful lecture by Professor Tanniemola Liverpool.
- YouTube
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