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#ASTRO24 Terrific early morning #lungcancer session🫁‼️ Benjamin Lok, MD reporting on tolerability of PARPi with IMRT as consolidation in patients with ES-SCLC🙏 Important to restrict esophagitis‼️ Excellent basis for future development of PARPi in this space👍 #LCSM

#ASTRO24 High quality early morning #lungcancer session with focus on consolidation #radiotherapy approaches. Katie Keane Mass General Cancer Center reporting on phase II trial of consolidation SBRT in oncogene driven stage IV NSCLC (mostly EGFR). Fantastic, clear presentation👍🙏

Excited to present our Phase II trial of SBRT in patients with oncogene-driven #NSCLC 🫁 #ASTRO24 Mass General Cancer Center Henning Willers, MD, FASTRO

Snapshot of our resident presentations from today (2/2)! #ASTRO24 Lin Zhu Grace Lee

🙌 2024 Biomarkers of Aging Conference: Updated Speaker Lineup! We're just three weeks away from our much-anticipated 2024 Conference, and we're excited to share our updated lineup of industry and academic leaders for Day 1 and Day 2: Omar Abudayyeh, Austin Argentieri,

So grateful that Hugo Aerts made it over to give a keynote on #artificalintelligence in #cancer medicine at the 27th JBL Symposium Harvard T.H. Chan School of Public Health 🙏🙏🙏 We are learning a lot about ... the prognostic impact of face age😅

So grateful for Dr. Rebecca M. Howell, PhD for blowing us away at the 27th JBL Symposium Harvard T.H. Chan School of Public Health with her extensive studies on understanding and preventing late cardiac complications from #radiotherapy🙏 🛑 need more pediatric heart data for building AI models 🛑mean organ doses

Terrific work by Grace Lee & team using #artificalintelligence to develop FaceAge as a predictor of outcomes in patients with #LungCancer 🔥🔥🔥 Also, great #radonc presentation at DF/HCC Lung Cancer Symposium 😊🙏 ##LCSM

Join Ray Mak, MD & Katelyn Atkins, MD, PHD to learn about eContouring for Cardiac Sub-structures on 12/19 at 3 pm ET. Registration for the webinar is FREE for @ASTRO Members-in-Training. Sign-up now: bit.ly/eContouringCar… ARRO

NEW Research: A prospectively deployed #DeepLearning-enabled automated quality assurance tool for oncological palliative spine radiation therapy. Ray Mak, MD Read it here: buff.ly/3VYptNi

New Comment from Nico Sollmann: Implementation of an automated deep learning-based quality assurance tool for vertebral body identification in radiotherapy planning. thelancet.com/journals/landi…

🚨 AI Research Breakthrough! 🚨 Introducing CT-FM: A Vision Foundation Model for Computed Tomography Mass General Brigham and Harvard Medical School bring you CT-FM, a large-scale 3D image-based pre-trained model explicitly designed for radiological tasks. By Suraj Pai, Ibrahim Hadzic,

Success! Thanks to our presenters, moderators, organizing staff, and attendees for making the Northwell Health Best of #RadOnc conference a win! See you next year! Louis Potters, MD Anuj Goenka MD

Did you know your face can reveal your biological age? Mass General Brigham Research has developed FaceAge, an #AI algorithm that predicts biological age survival outcomes for patients with cancer using a single photo. Patients with cancer appeared five years older than their actual age, and

NEW Research: FaceAge, a #DeepLearning system to estimate biological age from face photographs to improve prognostication: a model development and validation study. Hugo Aerts Dennis Bontempi, Ph.D. Ray Mak, MD Read it here: thelancet.com/journals/landi…

📢 NEW podcast: Hugo Aerts and Ray Mak, MD join us to discuss their group's paper on FageAge: a #DeepLearning system to estimate biological age from face photographs. Mass General Brigham Listen here: thelancet.com/multimedia/pod… Read the paper here: thelancet.com/journals/landi…