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Thomas Bortfeld, Ph.D.

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Overview
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I am a Medical Physicist with a passion for research and development to solve clinical problems, deploying the resulting innovative technologies in the clinic, and translating new problems that arise in the clinic back into research questions. I made this transition of technologies from the bench to the bedside and back many times throughout my career.

Research
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The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
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  1. 1 R01 CA266803-01A1 (BORTFELD, THOMAS R.) Sep 20, 2022 - Aug 31, 2027
    NIH/NCI
    An Ionizing Radiation Acoustics Imaging (iRAI) Approach for guided Flash Radiotherapy
    Role Description: The goal is to address the current challenges of effective and safe FLASH-RT clinical delivery by developing an image-pulse guidance system utilizing technological advances in radiation acoustic imaging and machine learning algorithms.
    Role: Co-Principal Investigator
  2. R01CA266803 (EL NAQA, ISSAM M.) Sep 20, 2022 - Aug 31, 2027
    NIH
    An Ionizing Radiation Acoustics Imaging (iRAI) Approach for guided Flash Radiotherapy
    Role: Co-Principal Investigator
  3. R01CA266275 (BORTFELD, THOMAS R.) Jan 6, 2022 - Dec 31, 2026
    NIH
    Automated interactive definition of the clinical target volume in radiation oncology
    Role: Principal Investigator
  4. R01CA266275 (BORTFELD, THOMAS R.) Jan 6, 2022 - Dec 31, 2026
    NIH/NCI
    Automated interactive definition of the clinical target volume in radiation oncology
    Role Description: The definition of the clinical target volume in which high doses of radiation are delivered to treat cancer is the weakest link in the radiation therapy chain. It is currently a cumbersome manual process in which a radiation oncologist draws the target contours manually, with many uncertainties involved, leading to a large variability between contours drawn by different physicians. In collaboration with a leading company in radiation treatment planning, we develop a machine learning based approach to define the clinical target volume semi- automatically, which will lead to greater efficiency in defining the clinal target, more consistency, and better treatment plans for the patients.
    Role: Principal Investigator
  5. R01CA118200 (BORTFELD, THOMAS R.) Jul 1, 2007 - May 31, 2013
    NIH
    Management of Breathing effects in Radiotherapy Planning
    Role: Principal Investigator

Bibliographic
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© 2024 President and Fellows of Harvard College
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.