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RAYSEARCH AT ASTRO 2023

Booth #3245

1–4 OCTOBER | SAN DIEGO, CALIFORNIA

The theme for ASTRO 2023 is "Pay it Forward - Partnering with our Patients" and RaySearch will be onsite with a patient-centric focus, dedicated to our mission of advancing cancer treatment.

ON SHOW

RayStation®* is the next generation of treatment planning systems. The latest updates to RayStation 2023B comes with automatic field- in-field planning, robust LET optimization, support for discrete proton arcs, as well as numerous improvements throughout the system.
 
RayCare®* is an innovative oncology information system designed to support comprehensive cancer care. RayCare features a deeper and richer integration than ever before between RaySearch’s products, supporting more automated data transfer and a more cohesive user experience throughout the radiotherapy flow.
 
RayIntelligence® is our cloud-based oncology analytics system that will simplify integrations and turn your data into insights. It can be used in all areas of cancer care including radiation therapy, medical oncology, and surgical oncology.
 

 *Subject to regulatory clearance in some markets

Visit our booth #3245 to book your own personal demo or book a demo online.

BOOK A DEMO

ON DEMO IN OUR BOOTH

  • Brachytherapy planning
  • Cyberknife planning
  • Synthetic CT generation
  • Deep learning segmentation
  • LET evaluation
  • Cloud based data analytics
  • Customizable oncology workflows
  • Occular planning
  • And more... 

BOOK A DEMO

*Some functionality is under development (not clinical) or subject to regulatory clearance in some markets

 
 

POSTER PRESENTATIONS

Comprehensive Beam Modeling, Secondary Dose Computations and Treatment Planning for a 1.5 T MRgRTSystem

R. KIERKELS1, C. FÄLTH2, G. HILGERS1 and A. ANGERUD2

(1) Radiotherapiegroep, Arnhem/Deventer, the Netherlands
(2) RaySearch Laboratories AB, Stockholm, Sweden

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Towards clinical proton minibeam radiation therapy (pMBRT): development of clinical pMBRT syst prototype and pMBRT-specific treatment planning method

Yuting Lin1, Weijie Zhang1, Yolanda Prezado2, Erik Traneus 3, Dan Johnson1, Wangyao Li1, Gregory N Gan Ronald C Chen1 and Hao Gao1
 
(1) Department of Radiation Oncology, University of Kansas Medical Center, Kansas City, KS
(2) Institut Curie, University PL, CNRS UMR3347, INSERM U1021, Orsay, France 
(3) RaySearch Laboratories AB, Stockholm, Sweden

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