Reflections on some mathematical modeling in endocrinology

This is an expository paper which explores a variety of epidemiological and other quantitative approaches to research in endocrinology. It is a sample of some of the projects in which the author and his colleagues, including doctoral students, have been involved over a number of years. The medical and mathematical theories have been tested on consenting patients in clinical environments

Mathematical contributions to the study of Diabetes Mellitus

© 2017 by the authors. The purpose of the studies outlined in this paper is to describe some indicative and non-standard, but not exhaustive, quantitative contributions to the collection of diseases within the Diabetes Mellitus (DM) spectrum. While the paper has implications for bioinformatics related to DM, the paper is broader than that; it is more about DM-related bioprocesses illuminated by bioinformatics than about the bioinformatics per se. In effect it is an argument against being locked into one particular paradigm in the laudable study of this complicated set of diseases which increasingly dominate public health budgets, not to mention the lives of the patients with DM and their families

Empirical approaches to the application of mathematical techniques in health technologies

Mathematical modeling of ageing is built in this paper around research and development activities in cooperation with pharmaceutical companies and hospitals. The interaction of "dirty data" with appropriate mathematical techniques is exemplified mainly with applications to health technologies in endocrinology and oncology. The emphasis is more on old techniques in new situations than on new techniques, though there are references to some novel approaches to modeling