Second OSRT meeting in MGH, Boston; October 2018 (photo credit: Neilda Alves)

 

Optimal Stopping in Radiation Therapy (OSRT) is an international consortium dedicated to the personalization of radiation therapy using mathematics, optimization, and machine learning techniques. Established in 2018, the consortium brings together mathematicians, data scientists, physicians, and physicists to develop a mathematical framework for personalized decision making in the field of radiation oncology. The premise is that mathematical methods can tell us how to escalate or de-escalate the radiation dose and/or fractionation scheme based on imaging, genetic, and other relevant biomarkers collected before and during the course of treatment. To date, the consortium has conducted two international workshops in Frankfurt and Boston, and is actively working on multiple areas of plan personalization based on biological markers of patients. 

Core Institutions

The consoritum is an international collaborations between 8 world-renowned cancer and optimization institutions around the world. The current core institutes are:

  • Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
  • Fraunhofer Institute for Industrial Mathematics, Kaiserslautern, Germany
  • Department of Radiation Oncology, University of Freiburg Medical Center, Freiburg, Germany
  • School of Economics and Management, Tilburg University, Tilburg, Netherlands
  • School of Economics and Management, University of Amsterdam, Amsterdam, Netherlands
  • Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
  • Department of Medical Physics, University of Wisconsin, Madison, WI, USA
  • Department of Radiation Oncology, Ludwig-Maximilians University of Munich, Munich, Germany
  • Department of Medical Radiation Physics, Stockholm University, Stockholm, Sweden
  • Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden

  

Core Members

The OSRT consoritum brings together experts in medical physics, radiation oncology, optimization, mathematics, and data science to form a multi-disciplinary collaborations for tackling all three aspects of personalized RT and OSRT, namely: Biomarker Discovery, Predictive Modeling, and Treatment Personalization (see the dedicated page for each one for more information). The current core members include:

  • Thomas Bortfeld, Ph.D. (Harvard Medical School and Massachusetts General Hospital, Boston, US)
  • Ali Ajdari, Ph.D. (Harvard Medical School and Massachusetts General Hospital, Boston, US)
  • Dick den Hertog, Ph.D. (University of Amsterdam, Netherlands)
  • Robert Jeraj, Ph.D. (University of Wisconsin, Madison, US)
  • Stine Korreman, Ph.D. (Aarhus University, Aarhus, Denmark)
  • Maximilian Niyazi, M.D. (Ludwig-Maximilians University of Munich, Munich, Germany)
  • Christien Thieke, M.D., Ph.D. (Ludwig-Maximilians University of Munich, Munich, Germany)
  • Nils Henrik Nicolay, M.D.-Ph.D. (University of Freiburg Medical Center, Freiburg, Germany)
  • Iuliana Toma-Dasu, Ph.D. (Stockholm University & Karolinska Instituet, Sweden)
  • Karl-Heinz Küfer, Ph.D. (Fraunhofer Institute for Industrial Mathematics, ITWM, Kaiserslautern, Germany)
  • Stefan ten Eikelder, M.Sc. (Tilburg School of Economics, Tilburg, Netherlands)
  • Cristina Collicott, Ph.D. (Fraunhofer Institute for Industrial Mathematics, ITWM, Kaiserslautern, Germany)
  • Esther Bonacker, Ph.D. (Fraunhofer Institute for Industrial Mathematics, ITWM, Kaiserslautern, Germany)
  • Peter Ferjancic, M.Sc. (University of Wisconsin, Madison, US)

 

Interested in Collaborations?

We are continuously looking for interested collaborators and curious students to brainstorm, start new collaborations, and exchange knowledge. If you are interested, reach us at This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it..