Morphogenesis in Cancer
Explore morphogenesis in cancer with Ramray Bhat, examining fundamental principles and theoretical approaches to understanding cancer progression and potential treatment strategies.
A Systems Biology Approach to Unravel Cell Cycle Dynamics - Lecture 2
Explore systems biology approaches to unravel cell cycle dynamics, focusing on mathematical modeling and computational techniques to understand complex cellular processes.
The Art of Modelling Mammalian Cell Cycle Regulation - Lecture 1
Explore mammalian cell cycle regulation modeling techniques, focusing on theoretical approaches to understand cancer progression and treatment. Gain insights into advanced mathematical and computational methods.
Maps, Networks and Mechanisms: System Modeling and Analysis of Disease Maps
Explore disease map modeling and analysis techniques for understanding complex biological systems and their applications in cancer research and treatment strategies.
Genome-Scale Metabolic Modeling in Cancer
Explore genome-scale metabolic modeling in cancer research, uncovering insights into cellular metabolism and potential therapeutic targets for improved cancer treatment strategies.
Systems-level Analysis of Phenotypic Switching in Melanoma - From Design Principles to Therapeutic Strategies
Explore systems-level analysis of phenotypic switching in melanoma, focusing on design principles and their implications for understanding cancer progression and developing targeted treatments.
Inferring Cell-state Dynamics from High-resolution Lineage Tracking of Single Cells
Explore cell-state dynamics through high-resolution lineage tracking, uncovering insights into cancer progression and potential treatment approaches in this theoretical biology lecture.
To Live or Not to Live - Decision Making in Single Cancer Cells - Lecture 1
Explore decision-making processes in individual cancer cells, examining factors influencing cell survival and death. Gain insights into cellular behavior and its implications for cancer progression and treatment.
Chance and Necessity: Decision Making in Single Cancer Cells - Lecture 2
Explore decision-making processes in individual cancer cells, examining the interplay between randomness and determinism in cellular behavior and its implications for cancer progression.
What Does Not Kill Cancer Can Make It Stronger - Investigating Cancer as a Complex System
Explore how mathematical models and interdisciplinary approaches can enhance our understanding of cancer progression, metastasis, and treatment resistance, potentially leading to new therapeutic strategies.
Modulation of Ensemble-level TNFR1 Mediated Apoptosis Response - Lecture 2
Explore ensemble-level TNFR1 mediated apoptosis response modulation, delving into advanced concepts of cancer cell death mechanisms and potential therapeutic implications.
Boolean Modeling of Biological Networks - Lecture 1
Explore Boolean modeling for biological networks, focusing on cancer progression. Learn theoretical approaches to understand complex biological systems and their applications in cancer research.
Emergent Behaviour in a Three-Species Human Gut Community
Explore emergent behavior in a three-species human gut community, uncovering complex interactions and their implications for microbiome research.
System of Interacting Neurons with Short-Term Synaptic Facilitation
Explore interacting neurons and short-term synaptic facilitation in this comprehensive lecture by experts from renowned French universities.
Building Microbial Communities from the Bottom Up
Explore bottom-up approaches to constructing microbial communities, examining assembly processes and interactions that shape complex ecosystems.
A Sparse Mapping from Structure to Function in Microbial Communities
Explore the relationship between structure and function in microbial communities through a sparse mapping approach, uncovering key insights into complex ecological systems.
Emergence of a Simple Fitness Landscape from Integrated Phenotypic Networks
Explore how integrated phenotypic networks give rise to simple fitness landscapes, reconciling long-term trajectories and mutant fitness data.
Dissecting Causes of Variation in Immune Defense - In Silico, In Vitro, and In Vivo
Explore causes of immune defense variation through computational, laboratory, and live organism studies with Princeton researcher Andrea Graham.
The Evolution of Within-Host Ecologies: Models to Data and Back
Explore models and data on within-host ecological evolution, focusing on the interplay between theoretical frameworks and empirical findings.
Constrained Proteome Allocation, Adaptive Strategies and Coexistence in Models of Competitive Microbial Communities
Explore proteome allocation constraints and adaptive strategies in competitive microbial communities, focusing on coexistence models.
The Mathematical Hallmarks of Cancer - Yesterday, Today, and Tomorrow
Explore the mathematical modeling of cancer's key characteristics, examining past approaches, current methodologies, and future directions in oncology research.