![](https://webarchive.library.unt.edu/eot2008/20080920110608im_/http://nsf.gov/images/x.gif) News From the Field Machine Learning Could Speed Up Radiation Therapy for Cancer Patients
![](https://webarchive.library.unt.edu/eot2008/20080920110608im_/http://nsf.gov/images/greenlineshort2.jpg)
February 7, 2007
![News thumbnail of radiation planning algorithm](https://webarchive.library.unt.edu/eot2008/20080920110608im_/http://nsf.gov/news/other_images/radiation_algorithm_l.jpg) | A new computer-based technique could eliminate hours of manual adjustment associated with a popular cancer treatment. Researchers have developed an approach that has the potential to automatically determine acceptable radiation plans in a matter of minutes, without compromising the quality of treatment. Full story |
Source Rensselaer Polytechnic Institute ![](https://webarchive.library.unt.edu/eot2008/20080920110608im_/http://nsf.gov/images/bluefadesm.jpg)
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