Joel S. Brown

The paper explores whether quantum entanglement, measured via von Neumann Entropy, influences TP53 mutation patterns, finding elevated entropy at known mutational hotspots but cautioning about limited validation.

This paper develops a mathematical model showing that induced muscle wasting (IMW) supports wound healing and that inhibiting IMW can prevent cachexia and restore muscle mass with nutritional support.

This paper develops an evolutionary model to show how cancer evolvability affects therapy outcomes, finding that targeted therapy is better for low-evolvability cancers and chemotherapy for high-evolvability ones, with a combined approach effective against facultative evolvability.

This study identifies three phases of UV-induced skin carcinogenesis using a mouse model, showing the emergence of large clades, clonal selection, and lesion formation.

This study shows that initial tumor composition influences resistance evolution and treatment outcomes in NSCLC, with resistance fitness effects varying based on initial resistant cell proportion.

The paper fits evolutionary game-theoretic models to NSCLC in-vitro data to identify the best model for capturing tumor growth and treatment response dynamics.

This paper models VEGF and GLUT1 as coadapted foraging strategies in cancer, showing that resource-sharing dynamics influence their expression and therapeutic effectiveness.

This paper develops a mathematical model to assess how incorporating toxicity feedback affects adaptive cancer therapy, finding that toxicity-induced treatment breaks can extend time to progression.

The paper investigates how combinations of feral and native predators affect prey foraging behavior in the Negev Desert, finding that feral predators like cats and dogs elicit stronger anti-predator responses than native predators.

The paper introduces macrocompetition as a concept and analyzes geographic patterns of hawk-moths and hummingbirds in the US to support its existence.