Inferring Cell-state Dynamics from High-resolution Lineage Tracking of Single Cells

Explore a comprehensive lecture on inferring cell-state dynamics through high-resolution lineage tracking of single cells, presented by Shaon Chakrabarti at the International Centre for Theoretical Sciences. Delve into cutting-edge theoretical approaches in cancer progression and treatment as part of a two-week program featuring experts from various fields of theoretical cancer research. Gain insights into advanced sequencing and imaging techniques, mathematical modeling, and computational approaches revolutionizing cancer research. Learn about topics ranging from age-structured populations theory to systems biology of cancer networks, dynamical modeling of heterogeneous populations, and machine learning techniques in cancer research. Discover how theoretical tools are being used as orthogonal approaches to understand and control cancer evolution, and their potential translational importance in designing novel clinical trials.