生物の状態変化をどのように記述すべきか：実験室進化と理論解析 - チャプター2
Explore 適応・進化ダイナミクスの理論的解析と実験室での進化研究を通じて、生物の状態変化における記述方法を学ぶ高度な生命システム研究の講義
Defining Network Topologies That Can Achieve Molecular Memory
Explore network topologies for molecular memory in complex systems. Uncover innovative approaches to information storage at the molecular level.
Machine Learning Insights into Antimicrobial Efficacy and Resistance
Explore machine learning innovations addressing antimicrobial resistance challenges in understanding, diagnosis, and treatment. Gain insights from Dr. Jason H. Yang on combating this global health threat.
Synthetic Microbiology - A Conversation
Explore synthetic microbiology with experts, discussing its definition, interaction with systems biology, and potential research areas. Gain insights into this emerging field and its implications for future scientific advancements.
How Would We Know What an Astrocyte Knows? - Understanding Neural Computation Beyond Neurons
Explore how astrocytes compute using calcium patterns and neurotransmitters, challenging traditional neuron-centric views of cognition and proposing new frameworks for understanding consciousness across diverse systems.
Agent-Based Modeling of Cancer Cell Migration in Response to Tumor Microenvironmental Signals
Explore computational modeling techniques for simulating cancer cell migration and interactions within tumor microenvironments, enhancing understanding of disease progression.
Gene-Regulatory Networks Viewed Through Statistical Mechanical Glasses
Explore statistical mechanics principles applied to gene-regulatory networks, examining their complex interactions and regulatory mechanisms through a physics-based analytical framework.
What Can Viral Dynamics Teach Us About Modeling Immunotherapies?
Explore mathematical modeling approaches from viral dynamics and their applications in understanding immunotherapy responses and tumor-immune system interactions.
Modeling Communicating Systems in a Functional Style: 30+ Years of Evolution
Explore the evolution of modeling communicating systems using functional programming over 30+ years, from telecoms protocols to probabilistic models and Bigraphs, with insights on future challenges.
Inference of Gene Regulatory Networks from Bulk and Single Cell Omic Datasets
Explore gene regulatory network inference techniques using bulk and single-cell omic datasets. Learn about integrative approaches, predictive models, and applications in cellular reprogramming and single-cell genomics.
Foundation Models for Enabling Rational Design of Biological Systems - Lecture 3
Explore foundation models for rational design of biological systems with Arvind Ramanathan, advancing understanding in computational biology and system engineering.
Processing Very Large Image Volumes with the Adaptive Particle Representation
Explore advanced techniques for processing massive image datasets using adaptive particle representation, enabling efficient visualization and analysis of terabyte-scale biomedical data.
Assessing Transfer Entropy from Biochemical Data
Develop a method to evaluate transfer entropy from biochemical reactions, applying it to the ERBB-RAS-MAPK system for insights into cell fate decisions.
Targeting Macrophages to Improve Glioblastoma Treatment Outcomes
Explore innovative strategies for enhancing glioblastoma treatment by focusing on macrophage targeting, presented by Morgan Craig from Sainte-Justine Hospital and Université de Montréal.
Computational Modeling of Tumor Microenvironment: A Cancer Hallmarks Perspective
Explore computational modeling of tumor microenvironments through cancer hallmarks, gaining insights into advanced oncology research techniques and their applications.
Metabolism Meets Machine Learning: Computational Metabolomics
Explore computational metabolomics, combining metabolism and machine learning. Discover metabolite measurement, data analysis, and future directions in biomedical science.
Collective Cell Migration II - July 19, 2024
Explore advanced concepts in collective cell migration, focusing on theoretical models and experimental observations in tissue dynamics.
Collective Cell Migration - Lecture 1
Explore collective cell migration mechanisms and dynamics in this comprehensive lecture by E. Hannezo, delving into cutting-edge research and theoretical frameworks.
Network Science Is Not Scale Invariant
Explore the concept of scale dependence in network science, challenging common assumptions and examining its implications for complex systems analysis.
Statistical Dynamics of Tumor Initiation and Progression
Explore the mathematical modeling of cancer development through statistical dynamics, focusing on tumor initiation patterns and progression mechanisms in oncological research.
Optimization of Radioimmunotherapy of Blood Cancers - Insights from Mathematical Modeling
Explore mathematical modeling approaches to optimize radioimmunotherapy treatments for blood cancers, focusing on tumor immune dynamics and therapeutic effectiveness.