Large language models can generate text, respond to queries, and translate between
languages, as recent research demonstrates. As a new and essential part of computational …

State‐structured populations are ubiquitous in biology, from the age‐structure of animal
societies to the life cycles of parasitic species. Understanding how this structure contributes …

Evolvability is the capacity of a population to generate heritable variation that can be acted
upon by natural selection. This ability influences the adaptations and fitness of individual …

The polyaneuploid cancer cell (PACC) state promotes cancer lethality by contributing to
survival in extreme conditions and metastasis. Recent experimental evidence suggests that …

In this didactic paper, we present a theoretical modeling framework, called the G-function,
that integrates both the ecology and evolution of cancer to understand oncogenesis. The G …

Mathematical models of cancer and bacterial evolution have generally stemmed from a
gene-centric framework, assuming clonal evolution via acquisition of resistance-conferring …

Abstract Background and Objectives Cancer biomarkers provide information on the
characteristics and extent of cancer progression and help inform clinical decision-making …

Understanding the ecological and evolutionary dynamics of populations is critical for both
basic and applied purposes in a variety of biological contexts. Although several modeling …

Neuroblastoma exhibits two cellular phenotypes: therapy-sensitive adrenergic (ADRN) and
therapy-resistant mesenchymal (MES). To understand treatment response, it is important to …

Field cancerization is a process in which a normal tissue is replaced with pre-cancerous but
histologically normal tissue. This transformed field can give rise to malignancy and …