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The Gilbert W. Beebe Symposium

In progress

Any project, supported or not by a committee, that is currently being worked on or is considered active, and will have an end date.

The Gilbert W. Beebe symposium was established by the Board on Radiation Effects Research (a predecessor of the Nuclear and Radiation Studies Board) in 2002 to honor the scientific achievements of the late Dr. Gilbert W. Beebe (National Cancer Institute), who was one of the designers and key implementers of the epidemiology studies of Japanese atomic bomb survivors and co-founder of the Medical Follow-up Agency. The symposium is used to promote discussions among scientists, federal staff, and other interested parties concerned with radiation health effects.

Events

Gilbert W. Beebe Symposium on AI and ML Applications in Radiation Therapy, Medical Diagnostics, and Radiation Occupational Health and Safety

  • March 13 - 14, 2025
  • Symposium
  • Past

The Gilbert W. Beebe Symposium is hosting a two-day workshopon Artificial Intelligence (AI) and Machine Learning (ML) applications in radiation therapy/oncology, diagnostics, and occupational health a...

Gilbert W. Beebe Symposium on AI and ML Applications in Radiation Therapy, Medical Diagnostics, and Radiation Occupational Health and Safety

  • March 13 - 14, 2025
  • Symposium
  • Past

The Gilbert W. Beebe Symposium is hosting a two-day workshopon Artificial Intelligence (AI) and Machine Learning (ML) applications in radiation therapy/oncology, diagnostics, and occupational health a...

Gilbert W. Beebe Symposium on AI and ML Applications in Radiation Therapy, Medical Diagnostics, and Radiation Occupational Health and Safety

  • March 13 - 14, 2025
  • Symposium
  • Past

The Gilbert W. Beebe Symposium is hosting a two-day workshopon Artificial Intelligence (AI) and Machine Learning (ML) applications in radiation therapy/oncology, diagnostics, and occupational health a...

Gilbert W. Beebe Symposium on AI and ML Applications in Radiation Therapy, Medical Diagnostics, and Radiation Occupational Health and Safety

  • March 13 - 14, 2025
  • Symposium
  • Past

The Gilbert W. Beebe Symposium is hosting a two-day workshopon Artificial Intelligence (AI) and Machine Learning (ML) applications in radiation therapy/oncology, diagnostics, and occupational health a...

Gilbert W. Beebe Symposium on AI and ML Applications in Radiation Therapy, Medical Diagnostics, and Radiation Occupational Health and Safety

  • March 13 - 14, 2025
  • Symposium
  • Past

The Gilbert W. Beebe Symposium is hosting a two-day workshopon Artificial Intelligence (AI) and Machine Learning (ML) applications in radiation therapy/oncology, diagnostics, and occupational health a...

Symposium

Tracking Radiation Doses from Medical Diagnostic Procedures: Gilbert W. Beebe Symposium 2011

  • December 8 - 9, 2011
  • Closed
  • Symposium
  • Past

A workshop to examine the feasibility and implications of tracking radiation doses to the U.S. population from medical diagnostic procedures.

Tracking Radiation Doses from Medical Diagnostic Procedures: Gilbert W. Beebe Symposium 2011

  • December 8 - 9, 2011
  • Closed
  • Symposium
  • Past

A workshop to examine the feasibility and implications of tracking radiation doses to the U.S. population from medical diagnostic procedures.

Tracking Radiation Doses from Medical Diagnostic Procedures: Gilbert W. Beebe Symposium 2011

  • December 8 - 9, 2011
  • Closed
  • Symposium
  • Past

A workshop to examine the feasibility and implications of tracking radiation doses to the U.S. population from medical diagnostic procedures.

Tracking Radiation Doses from Medical Diagnostic Procedures: Gilbert W. Beebe Symposium 2011

  • December 8 - 9, 2011
  • Closed
  • Symposium
  • Past

A workshop to examine the feasibility and implications of tracking radiation doses to the U.S. population from medical diagnostic procedures.

Tracking Radiation Doses from Medical Diagnostic Procedures: Gilbert W. Beebe Symposium 2011

  • December 8 - 9, 2011
  • Closed
  • Symposium
  • Past

A workshop to examine the feasibility and implications of tracking radiation doses to the U.S. population from medical diagnostic procedures.

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