
Explore mathematical models of inflammation's role in cancer progression, examining key mechanisms and potential therapeutic targets.

Explore tumor metabolism abnormalities through multiscale modeling, uncovering insights into cancer biology and potential therapeutic targets.

Explore advanced mathematical techniques for modeling tumor invasion across multiple scales, enhancing understanding of cancer progression and potential treatment strategies.

Explore melanoma dynamics through mathematical modeling, uncovering mechanisms behind PD-L1 expression heterogeneity and proliferative-invasive plasticity in cancer cells.

Explore mathematical models of hypoxia's impact on cell reprogramming in solid tumors, uncovering key mechanisms and potential therapeutic targets.

Explore network science and dynamic modeling to understand biological systems' emergent properties. Learn about stable motifs and their role in decision-making and attractor control for potential therapeutic strategies.

Explore population dynamics modeling techniques for drug discovery, focusing on innovative approaches and their applications in pharmaceutical research.

Explore gene regulatory network structure and its impact on perturbation effects. Gain insights into simulating and modeling GRNs for improved understanding of gene expression regulation.

Explore coevolutionary dynamics in complex systems, advancing beyond simple dynamics to understand intricate interactions and emergent behaviors in interdisciplinary contexts.

Explore the evolution of biological complexity through special cases and general insights in this comprehensive keynote talk by Paulien Hogeweg.

Explore multifunctionality of species in ecological communities, examining their roles and impacts on ecosystem dynamics and biodiversity.

Dive into the intricate realm of microbes, uncovering their complex systems and profound impact on our world through cutting-edge research and interdisciplinary approaches.

Explore bifurcations and multistability in adaptive vascular networks, uncovering complex dynamics and emergent behaviors in biological systems.

Explore ocean microbiomes' structure and function, gaining a holistic perspective on these complex ecosystems and their impact on marine environments.

Explore gene regulatory networks and individual-specific disruptions, focusing on disease-associated genetic variants and their impact on transcription factor binding and gene expression.

Explore epigenetic clocks in mammals, their accuracy across species, and implications for aging research. Gain insights into DNA methylation's role in biological aging and lifespan.

Explore how many-to-many protein networks function as versatile computational devices in multicellular organisms and their potential applications in synthetic biology for designing complex behaviors.

Explore genomics and transcriptomics in heart disease, focusing on regulatory elements, SNPs, and gene networks to enhance understanding of cardiovascular pathogenesis and therapy.

Explore Viome Operating System (ViOS), an open-access platform integrating lab, computational, and logistics components for efficient clinical research and health improvement using big data and AI.

Explore gene regulatory networks and their role in understanding sex differences in health and disease through genomics and systems biology approaches.

Explore the unified theory of life phenomena through evolutionary perspectives and NECTE principles, examining complementary oppositions and self-nonself circulation theory in biological systems.