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Mirwais Wardak
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Someone suggested I make a table summarizing the video. Here it is!

Dr. Nina Niu Sanford@NiuSanford
Have you ever wondered whether you need to hold systemic during RT due to concern for additive toxicity? See this 10 min video. Categorized by systemic type (cytoxic chemo, IO, TKI, BRAF, etc) & RT regimen (SBRT/conventional/palliative) Slides🧵& full video below. 1/8
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Mirwais Wardak retweetledi

Adaptive radiotherapy involves modifying treatment plans to account for changes in anatomical geometry that are not adequately mitigated with changes in alignment. Online adaptive radiotherapy capitalizes on advances in image guidance, real-time tumor tracking, and the enhanced speed of multiple steps in radiotherapy planning and delivery workflows (seen in image).
Learn more in the Review Article “Effects of Radiotherapy in Normal Tissue” by @DeborahCitrin, MD, and Robert D. Timmerman, MD (@BobTimmermanMD), from the National Cancer Institute and @UTSWMedCenter: nejm.org/doi/full/10.10…

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Read it in the #RedJournal: Incorporating Intensity Modulated Total Body Irradiation (IMRT-TBI) into Future Cooperative Group Clinical Trials: An NRG Hematologic Malignancies Working Group-Led Report from the National Clinical Trials Network. @NRGOnc tinyurl.com/rjkovalchuk

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Mirwais Wardak retweetledi
Mirwais Wardak retweetledi

Thank you so much to the @NRGonc Podcast for hosting me on this episode focused on how the @AmerMedicalAssn can collaborate with organizations like @ACRORadOnc, @ASCO, the @RadiologyACR and @ASTRO_org to ensure equitable clinical trial access for patients.
Thanks so much @StephenChunMD and @lauren_henke for being excellent podcast hosts and for featuring this important topic! 🙏
#SDoH #clinicaltrials #ruralcancercare #healthdisparities #communityoncology #RadOnc #radvocacy #representationmatters
NRG Oncology@NRGonc
Tune in Monday for The NRG Oncology Podcast episode 6 featuring @jaguaranna27! We will be discussing collaborating with the @AmerMedicalAssn, policy and advocacy in research + addressing trial barriers & access. Follow us on Spotify, Apple, Amazon, or YouTube for new episodes.
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Mirwais Wardak retweetledi
Mirwais Wardak retweetledi

The newest @GreenstoneBio Webinar: Human Pluripotent Stem Cells, Organoids, and Drug Discovery featuring Dr. Shuibing Chen, Director of the Center of Genomic Health at Weill Cornell Medicine, is now available to watch online!
youtube.com/watch?v=Kkee6t…

YouTube
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Proton therapy usually requires a facility the size of a football field- but @BLoo_LT_SABR and the team are shrinking the map.
Full story on this breakthrough: dotmed.com/news/story/660…
#HealthTech #ProtonTherapy #CancerResearch #Innovation
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Mirwais Wardak retweetledi
Mirwais Wardak retweetledi

Advancing theranostics in #AlzheimerDisease: FDA approval of beta-amyloid PET drugs for selection of patients for beta-amyloid-directed therapies and other labeling updates. ow.ly/OBLz50YmVzv
#NuclearMedicine #RPTherapy
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Mirwais Wardak retweetledi

Watch more Walk with Me videos: stanmed.stanford.edu/we-are-stanfor…
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NEW President's Corner Member Spotlight - Freddy Escorcia, MD, PhD
In the latest episode, ASTRO President Neha Vapiwala, MD, FASTRO, speaks with Freddy Escorcia, MD, PhD, executive director at RayzeBio Inc. and a special volunteer at the National Cancer Institute. @NehaVapiwala @freddyeescorcia
Watch the video: ow.ly/sAht50YhKav

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Mapping the Kidney at Single-Cell Resolution 🤖
#HelmholtzMunich and #Novartis Biomedical Research are launching a four-year collaboration to advance #KidneyDisease research.
👉 t1p.de/yf554
🔬 The partnership will develop an integrated, cross-species “kidney disease atlas” at single-cell resolution. By combining large-scale perturbation data with artificial intelligence, the collaboration aims to uncover new insights into kidney disease mechanisms and create enhanced preclinical disease models to accelerate therapeutic development.
💡 This initiative builds on Helmholtz Munich’s expertise in #AI-driven modeling, virtual cell simulations, and large-scale perturbation analysis.
🤝 @Novartis contributes extensive know-how in the generation and characterization of reproducible kidney organoid models – lab-grown tissue models that replicate key features of human kidneys and allow researchers to test potential therapies in physiologically relevant systems.
@fabian_theis @CompHealthMuc @helmholtz_ai
#CellAtlas #PerturbationModels #VirtualCell #Organoids

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20 years of Yamanaka stem cell factor research culminates in 2 conditional approvals for heart disease and Parkinson's disease in Japan
sciencedirect.com/science/articl… by Shinya Yamanaka @CellStemCell
science.org/content/articl…
@ScienceMagazine


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Can an AI model be a generalist to work and perform well for all types of medical images?
Just published, our MedVersa paper @NEJM_AI
Led by @pranavrajpurkar
Free access ai.nejm.org/stoken/default…

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QSP is proven. Scaling it is the challenge.
See how teams use Certara IQ™ to scale QSP and answer high-value development questions earlier and with greater confidence.
Register now: ow.ly/Spe450Yoeb3
#CertaraIQ #QSP #ModelingAndSimulation

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What REALLY makes a good oncologist? in @JCO_ASCO
After 10 years and 203 JCO essays, one thing became clear: expertise alone isn’t enough.
Patient-centered care.
Clear, authentic communication.
Emotional intelligence.
And the harder work
Showing up again and again.
Openness to uncertainty.
Carrying the burden of cancer care.
Continuous growth.
Clinical competence is expected
Human connection makes the difference.
Science treats disease.
Presence treats fear.
ascopubs.org/doi/pdf/10.120… @OncoAlert

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Radiation oncology is changing fast.
But radiation can still injure normal tissue.
An excellent review in @NEJM explains how modern RadOnc is reducing that risk:
-Precision planning
-Adaptive radiotherapy
-Biologic personalization
-AI-assisted treatment design
the goal is simple: maximize tumor control while protecting normal tissue
nejm.org/doi/full/10.10… @OncoAlert




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@garykbrixi @pdhsu @MichaelPoli6 @AlisonFanton @samuelhking @GoodfireAI @AnsaBio @NVIDIAHealth @genophoria @davey_burke Since last February, Evo 2 has seen 200+ citations, 88K+ downloads, and 8M+ API requests. Groups at Yale, Johns Hopkins, NCState & UW have applied Evo 2 to problems from Alzheimer's risk prediction to 3D genome structure

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