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1/🧵Our study in JTO & JTO CRR CRR examining TMB/PD-L1 expression & outcomes in patients w/ NSCLC and new 🧠 mets receiving 🧠-directed ☢️ + immunotherapy. Grateful to collaborate with amazing colleagues Dana-Farber Brigham and Women’s Radiation Oncology Brigham and Women's Neurosurgery #lcsm jtocrr.org/article/S2666-…

📜 In The Lancet Reg Health-Americas and led by Davidi Tawfiles, we call for incorporation of #cancer #education as early as middle school to promote #prevention and #health #literacy globally 🙏 Grateful to our team! Memorial Sloan Kettering Radiation Oncology BCH Department of Surgery Harvard Medical School Penn 🔗 thelancet.com/journals/lanam…

📜 In JAMA Oncology: "National Cancer System Characteristics and Global Pan-Cancer Outcomes." 🙏 James Wu | 吴简凡 MD @Erin_Feliciano @FredTingMD @Jonas_Willmann @FrancesVHo Bhav Jain UrvishJain @JennyCh7799 @FabioMoraesMD @IMRTLee Puneeth Iyengar Paul Nguyen 🔗 jamanetwork.com/journals/jamao…

‼️Resource Alert ‼️ The Leptomeningeal Cancer Foundation has added a summary page of current clinical trials for leptomeningeal disease: lmcancer.org/clinical-trial… #lmd #lungcancer

1/8 Ever looked for a perfect teaching case or cases for a research project? New in Radiology: RadSearch, a semantic search model trained on >16K radiology reports, designed to retrieve relevant reports more accurately than standard methods doi.org/10.1148/radiol…

Excellent Radiology paper and podcast episode on foundation models with Akshay Chaudhari & M. Paschali! 📰 pubs.rsna.org/doi/10.1148/ra… 🎧 podcasts.apple.com/us/podcast/rad… Foundation Model Definition: - General purpose large scale models - Usually multimodal - Self supervised learning -

Honored to be one of the recipients of the ASTRO EAGL Awards. So excited to engage with lawmakers to improve patient care. Can’t wait to be back in DC!

We are publishing EGFR resistant tumor data here after profiling more than 45,000 tumors, the documentation of the prevalence of resistance mutations (718,721,797 etc.) is very important however we need to increase awareness to repeat molecular profiling after TKI failure to have

Dear challenge participants, We are pleased to announce that the first version of the BraTS-METS 2025 Lighthouse Challenge manuscript is now available online. You can now cite the dataset in your scientific work. Link to the arXiv pre-print: doi.org/10.48550/arXiv… If you have

Open-source, locally-installable LLM-driven anonymizer of medical text and outperforms several commercial alternatives. NEJM AI ai.nejm.org/doi/full/10.10…

🧠 Excited to share my main PhD project! We mapped the regulatory rules governing Glioblastoma plasticity using single-cell multi-omics and deep learning. This work is part of a two-paper series with Omer Ali Bayraktar , Oliver Stegle and Moritz Mall groups. Preprint at end🧵👇

Stunning research from Edmond Kwan on ctDNA in theranostics: 🧬Low ctDNA predicts better response with ¹⁷⁷Lu-PSMA-617 vs. cabazitaxel chemotherapy ⚠️PTEN alterations linked to worse outcomes on cabazitaxel 🧪ATM defects tied to favorable PSMA-617 results 🩻PET quantitative

Very happy to share our recent article in Nature Cancer on AI Agents for Decision Making in Cancer :) Jakob Nikolas Kather

.Puneeth Iyengar and Edward Christopher "Chris" Dee, MD discuss the potential benefits and barriers to adopting hypofractionated radiation therapy. Learn more: bit.ly/45tnW7p

📢 New AI for rare disease diagnosis: SHEPHERD shows how simulation + knowledge-grounded AI = deep learning for ultra‑low label domains nature.com/articles/s4174… This may shorten the journey from phenotype to diagnosis. Excited to help clinicians leverage fewer labels + more

❓ESTRO & EORTC proposed a classification to standardize reirradiation. But does it predict outcomes or toxicity? 🫁☢️ We applied the classification in thoracic reirradiation for NSCLC. Here’s what we found. 🧵

With AI-driven auto-contouring now routine, the role of radiation oncologists is shifting—from manual delineation to reviewing AI-generated contours. But how well does our inner compass detect which changes really impact OAR dose? 📊 We put this to the test in our new study.👇

🚨New preprint! 🚨In-context learning (ICL) is the intriguing ability of LLMs to learn to solve tasks purely from context w/o parameter updates. For multimodal LLMs (MLLMs), ICL is poorly understood, especially in the medical domain where doctors would often face few relevant

Osimertinib plus chemotherapy versus osimertinib for patients with advanced NSCLC with concomitant EGFR and TP53 mutations: a prospective cohort study Adding chemo to osimertinib may benefit patients w/ EGFR + TP53 (L858R) more than those w/ Exon 19 del nature.com/articles/s4159…

Published nature : Air pollution may drive TP53 and other mutations in lung cancer among never-smokers. EGFR was common in East Asia, KRAS in the West; secondhand smoke showed minimal genomic impact, and herbal toxin–linked signatures were seen in Taiwan.