ls18
Designing Pioneering Therapeutic Agents Against Disease-causing Viruses

Designing Pioneering Therapeutic Agents Against Disease-causing Viruses

Mathematical models can direct the design of defective interfering particles as therapeutic antiviral agents for...

Mathematics, Melodies, and the Mind

Mathematics, Melodies, and the Mind

At LS18, Daniel Forger spoke about the math behind auditory processing, musical representation, and the neuroscience...

Mathematical Comparison of Drought Trends throughout the United States

Mathematical Comparison of Drought Trends throughout the United States

David Prager compared the Markov chain model with the ARIMA time series approach to analyze drought in the U.S. during LS18.

Simulating the Mechanics of Honeybee Swarm Behavior

Simulating the Mechanics of Honeybee Swarm Behavior

At LS18, Orit Peleg used a combination of experiments and simulations to model mechanical swarm stability in...

PhysiCell as a Computational Framework of Coordinated Phenotypic Switching in Cancer Metastasis

PhysiCell as a Computational Framework of Coordinated Phenotypic Switching in Cancer Metastasis

Paul Macklin used an agent-based modeling framework to explore the role of hypoxia in breast cancer propagation at...

The Mathematics of Decision-Making: Is There a Perfect Model?

The Mathematics of Decision-Making: Is There a Perfect Model?

At LS18, William Holmes reconciles two existing decision-making hypotheses that were previously thought to be mutually exclusive.

Collective Decision-Making and Optimal Foraging Techniques in Honeybees

Collective Decision-Making and Optimal Foraging Techniques in Honeybees

Subekshya Bidari examined collective decision-making in honeybees foraging in a dynamic environment at LS18.

Modeling MGMT Methylation to Better Understand Brain Cancer

Modeling MGMT Methylation to Better Understand Brain Cancer

At LS18, Katie Storey used a stochastic model of GBM response to standard treatment to investigate MGMT methylation...

Kinetic Contagion Model Captures Collective Motion in Fearful Crowds

Kinetic Contagion Model Captures Collective Motion in Fearful Crowds

Daniel Balagué Guardia presented a new agent-based model for the study of kinetic contagion in fearful crowds at LS18.