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BioWorld - Thursday, April 16, 2026
Home » Topics » Medical devices » Proton therapy

Proton therapy
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patient alignment
Patents

Use of mixed reality visualization to improve radiotherapy

April 12, 2024
By Simon Kerton
The University of Florida Health Proton Therapy Institute’s director of Physics, Perry Johnson, has filed for protection of a method for patient posture and alignment using mixed reality (MixR) visualization.
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Medical Korea 2024

Proton, heavy ion radiotherapy centers on rise: Medical Korea 2024

March 15, 2024
By Marian (YoonJee) Chu
Medical Korea 2024 opened to a large audience in Seoul, South Korea for a two-day run to highlight advances in the medical field, including those in radiotherapy.
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José Maria Benlloch Baviera

EU funding new type of PET scanner used to monitor proton therapy in cancer

April 29, 2022
By Bernard Banga
The Spanish National Research Council, CSIC, has just been awarded funding from the European Research Council to establish proof of concept for new type of flat-plate positron emission tomography scanner (PET) that can be attached to the patient’s body to accurately monitor cancer proton therapy results in real time.
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3D rendering of LIGHT system

Study shows potential of Advanced Oncotherapy’s LIGHT proton therapy for resistant cancers

March 19, 2021
By Meg Bryant
Advanced Oncotherapy plc reported new findings demonstrating the potential ability and superiority of its next-generation proton therapy system, LIGHT, to treat resistant cancers. The findings build on research at the Mayo Clinic that highlighted the benefits of combining proton therapy (PT) with targeted small molecule damage repair inhibitors.
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Ethos radiotherapy system

Varian integrates machine learning into proton treatment planning for the first time

April 6, 2020
By Stacy Lawrence
Palo Alto, Calif.-based Varian Medical Systems Inc. is no stranger to machine learning applications. It rolled out its first such software to guide photon-based radiotherapy treatment planning more than five years ago. Now, it’s expanding a similar approach for machine learning-driven patient matching and treatment guidance in proton treatment planning.
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