Doris Fuertinger, MSc, PhD

Sr. Director Computational Medicine

Doris Fuertinger

Dr. Doris Fuertinger, MSc, PhD, is the Senior Director of Computational Medicine and Mathematical Modeling. She holds a Master’s in Numerical Mathematics, Modeling and Simulation (2008) and a PhD in Applied Mathematics (2012). Her career spans roles at the Renal Research Institute in New York, Global Research and Development and the Global Medical Office at Fresenius Medical Care and academic positions at the University of Graz and the University of Applied Sciences in Graz, Austria.

A leader in personalized healthcare, Dr. Fuertinger, has advanced biomathematical modeling and its application in the clinical context to optimize therapy for dialysis patients. She has introduced novel concepts to conduct in-silico clinical trials using patient-specific predictive models and operational data on clinical practices to optimize therapy in areas such as anemia, fluid management, and bone mineral metabolism for dialysis patients. These innovations have not only enhanced treatment practices but also support approval processes with Regulatory Agencies.

Dr. Fuertinger and team work on a wide span of topics.
- Develop models that predict novel therapies, and the ageing society will impact the renal population
- They develop (prototype) software that provide optimized and individualized therapy for dialysis patients in the area of anemic; design automatic feedback control systems that adjust fluid removal in real-time; develop mathematical models that allow medication doses to adjust depending on therapy modality

Dr. Fuertinger has authored numerous research papers and book chapters and holds several international and U.S. patents, reflecting her continued contributions to science and medicine.

Recent Articles by Doris Fuertinger, MSc, PhD

  • Mathematical biosciences and engineering
    June 21, 2021
    A mathematical model of the four cardinal acid-base disorders
    Alhaji Cherif, Vaibhav Maheshwari, Doris Fuertinger, Gudrun Schappacher-Tilp, Priscila Preciado, David Bushinsky, Stephan Thijssen, Peter Kotanko
    Precise maintenance of acid-base homeostasis is fundamental for optimal functioning of physiological and cellular processes. The presence of an acid-base disturbance can affect clinical outcomes and is usually caused by an underlying disease. It is, therefore, important to assess the acid-base status of patients, and the extent to which various therapeutic treatments are effective in controlling these acid-base alterations. In this paper, we develop a dynamic model of the physiological regulation of an HCO3-/CO2 buffering system, an abundant and powerful buffering system, using Henderson-Hasselbalch kinetics. We simulate the normal physiological state and four cardinal acidbase disorders: Metabolic acidosis and alkalosis and respiratory acidosis and alkalosis. We show that the model accurately predicts serum pH over a range of clinical conditions. In addition to qualitative validation, we compare the in silico results with clinical data on acid-base homeostasis and alterations, finding clear relationships between primary acid-base disturbances and the secondary adaptive compensatory responses. We also show that the predicted primary disturbances accurately resemble clinically observed compensatory responses. Furthermore, via sensitivity analysis, key parameters were identified which could be the most effective in regulating systemic pH in healthy individuals, and those with chronic kidney disease and distal and proximal renal tubular acidosis. The model presented here may provide pathophysiologic insights and can serve as a tool to assess the safety and efficacy of different therapeutic interventions to control or correct acid-base disorders.

The Renal Research Institute reshapes kidney care using advanced analytics, mathematical modeling, and machine learning to develop personalized therapies and improve patient outcomes.

Doris Fuertinger, MSc, PhD
Sr. Director Computational Medicine