Lumonus Partners with Memorial Sloan Kettering to Enhance AI Radiation Therapy Planning
Lumonus has announced a collaboration with Memorial Sloan Kettering Cancer Center to advance automated radiation therapy treatment planning, according to a press release.
As part of the partnership, Lumonus will license and co-develop MSK’s ECHO mathematical optimization engine within its Lumonus AI platform. The companies will also invest in joint research focused on improving automation in radiation therapy planning.
ECHO uses constraint-based mathematical methods to generate radiation therapy treatment plans from first principles. Developed over nearly a decade and supported by peer-reviewed research, the system has been used clinically to enhance the consistency and quality of treatment planning.
The collaboration aims to combine ECHO’s optimization methods with Lumonus’ workflow automation tools to enable broader adoption of automated planning in radiation oncology.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief, Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Sep 22 Atlantic Launches Activated Intelligence Division for Business AI Sep 22 Kroger Details AI Strategy for Shopping and Store Operations Sep 22 GS Microelectronics and Teradyne Plan Silicon Valley Chip Test Center Sep 22 QC Healthcare Partners With Sanguina for AI Blood Health Screening Sep 22 ChangeTower launches AI website monitoring platform for teamsMore from Life Sciences
Sep 22 Aqurio Named Finalist for 2026 AI Startup of the Year Sep 22 Tsingke Introduces Validation Workflow for AI Designed Proteins Sep 22 QC Healthcare Partners With Sanguina for AI Blood Health Screening Sep 22 RIVANNA Files 100th Patent for Ultrasound AI Sep 22 Ultima Genomics Platform Selected for Precure's One Million Sample DatasetLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Linearis Joins Two Canadian AI Health Data Projects
Luminary Platforms Raises $22 Million for Wealth Transfer Platform
HealthIQ Solutions and Eirion.ai Partner on Predictive AI for Remote Care
CollPlant Acquires LightSolver and Enters Photonic Computing
MediSights Reports Study Using AI Agents for Myeloma Market Research
Daily AI Brief: the AI news that matters, in your inbox.