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Leveraging past patient data to achieve optimal radiation treatment planning1-10 Employees
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Leveraging past patient data to achieve optimal radiation treatment planning
The Siris engine analyzes the treatment delivery technology, patient anatomy, patient medical record, and the treatment intent to predict dose outcomes.

Save On Planning Time
- Instantly explore plan outcomes before treatment planning system (TPS) optimization step
- Reduce iterations needed to reach a plan
- Streamlined workflow reduces planning time

Improve Plan Quality
- Library of the clinician’s previously approved plans informs clinician of achievable plan outcomes
- Prediction engine enables instant insights into tradeoffs between dose reduction to critical structures and PTV coverage.
- Efficient tradeoff exploration reduces planning time and improves quality
- Prostate plans created have 33% reduced dose to the rectum while maintaining PTV coverage.
- Head and neck plans created have more critical structures meet RTOG.
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Nick Mourlas
Avatar for Nick Mourlas
New Ventures @Johnson & Johnson Innovation. Past CEO, Tarsus Medical (acquired: IART) & Acumen Medical (acquired: MDT). Stanford PhD & Biodesign Fellow
Colin Carpenter, PhD
Avatar for Colin Carpenter, PhD
Founder Siris Medical. Biomedical Engineering PhD. Medical device innovator with 60+ academic publications. Over $1M raised for research.
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