The health care industry has experienced a proliferation of innovations aimed at enhancing life expectancy, quality of life, diagnostic and treatment options, as well as the efficiency and cost effectiveness of the health care system. The general trends into patient-specific treatment and molecular medicine require continuous innovations in our ability to understand bio-medical processes in detail. Predictive models for complex bio-medical processes and information-based medicine more and more complement the traditional lab-based approaches to answer these needs. On the contrary, progress in medical technologies in combination with the aging society induce a cost explosion: Health costs here have been rising significantly faster than the overall economy or personal incomes for more than 40 years, a trend that cannot continue forever. Cost-effective therapies, especially for chronic diseases, prevention and hospital logistics seem essential for the future of our health care system.
In the framework of Matheon's application area Life Sciences mathematical research has focused on three domains of expertise: (1) In computational surgery planning the priority lies on implant design. (2) Molecular processes research concentrates on in-silico design and optimization of molecular sensors, ligands and enzymes accompanied by further research on quantum processes. (3) In mathematical systems biology the aim is to bridge the gap between mathematical basic research and application in pharmaceutical industry. These domains of expertise are complemented by activities in medical imaging in Matheon's application area Visualization. The majority of cooperation partners in these fields of research are from the natural and bio-sciences or from (pharmaceutical) industry.