Genomics, Imaging and AI - Three Technologies Which Are Changing Basic Research by Ewan Birney
Explore how genomics, imaging, and AI are revolutionizing basic research, transforming our understanding of biology and accelerating scientific discoveries.
Conceptual Models of Immunity
Explore conceptual models of immunity and their applications in public health, focusing on mathematical approaches to understanding immune system dynamics.
Design and Dynamics of Biological Networks - The Case of Cancer Progression - Lecture 2
Explore biological network dynamics and design, focusing on specific case studies. Gain insights into complex systems and their applications in theoretical approaches to cancer research.
A Systems Analysis of Temozolomide Response in a Model Glioblastoma Cell-line
Explore systems analysis of temozolomide response in glioblastoma, uncovering insights into cancer treatment through advanced modeling and data interpretation techniques.
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.
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.
Local Weak Convergence for Random Constraint Satisfaction Problems
Explore local weak convergence in random constraint satisfaction problems with Princeton's Allan Sly, delving into advanced statistical mechanics concepts beyond two dimensions.
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.
Hybrid Filtering for Lagrangian Data Assimilation and Tipping Points in Earth Systems
Explore hybrid filtering for Lagrangian data assimilation and tipping points in Earth systems. Gain insights into advanced geophysical fluid dynamics techniques and their applications in climate science.
Coupled Oscillators: Matrices - Lecture by Supurna Sinha
Explore coupled oscillators and matrix applications in physics. Gain insights into theoretical aspects through hands-on experiments and open-ended discussions. Designed for women pursuing physics careers.
Oceanic Energy Flux Across Scales - Observational Evidence and Mechanisms
Explores oceanic energy transfers across scales using observational evidence and mechanisms. Discusses multi-scale interactions, turbulent mixing, and energy cycle in Earth's climate system.
Small-scale Instabilities in Inertia-gravity Waves
Explores small-scale instabilities in inertia-gravity waves, examining their impact on atmospheric and oceanic dynamics. Discusses theoretical perspectives and implications for geophysical fluid dynamics.
Submesoscale Processes Associated with the East India Coastal Current
Explores submesoscale processes in the East India Coastal Current, examining their impact on ocean dynamics and energy transfers across scales in geophysical fluid dynamics.