"An evolutionary medical perspective on shoes"
Daniel Lieberman
Harvard University
"Neutral models of microbiome evolution"
Allen Rodrigo
NESCent
"Pregnancy and lactation physiology may influence women’s Alzheimer’s risk through alterations in immune function"
Molly Fox
University of California Irvine
"Insights into co-evolution of milk and microbes: subsistence strategy predicts glycan profile in breast milk among diverse human populations"
Katie Hinde
Harvard University
"Costs of reproduction in a high fertility and mortality population"
Michael Gurven
University of California, Santa Barbara
“Evolution in medicine: Past, present, and future”
"Survey on evolution in health education"
Michael Muehlenbein
Indiana University
To understand better how to position evolutionary biology into medical, nursing, public health, and veterinary medicine training programs, four surveys were distributed via email and online advertisements to students and professionals in each of these disciplines.
“What is a disease?”
Ruslan Medzhitov, Ph.D
Yale University School of Medicine, Howard Hughes Medical Institute
Yale University
Human diseases are highly heterogeneous in terms of epidemiology, age-dependence, chronicity, recovery and mortality rates. This heterogeneity reflects different causalities of diseases.
"Insights from the population genetics of cancer suppression."
Leonard Nunney
University of California, Riverside
Evolutionary theory makes strong predictions about the nature and effectiveness of cancer suppression across different species, with size and longevity being critical parameters. In using this theory to increase our understanding of human cancers, we need to consider what it predicts about both interspecific and intraspecific patterns.
“What is a patient?”
Stephen C. Stearns
Professor of Ecology and Evolutionary Biology
Yale University
Because they evovled, patients are not machines designed by engineers with replaceable parts. They are bundles of tradeoffs because adaptive advances in one trait are often bought at a cost in another.