Benjamin Kann, MD

@BenjaminKannMD

RadOnc @DanaFarber @BrighamWomens @HarvardMed via @Yale residency | machine learning, #AI, cancer imaging, outcomes, improving patient care | views=my own

Joined May 2018

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Benjamin Kann, MD@BenjaminKannMD · Apr 24

How can we better predict if a child’s brain tumor will return—before symptoms start? In our new study @NEJM_AI, we used deep learning to analyze longitudinal brain MRIs—learning how scans change over time—to predict tumor recurrence in children. Let’s dive in. 🧠📊 👇 🧵1/

BenjaminKannMD's tweet image. How can we better predict if a child’s brain tumor will return—before symptoms start?

In our new study @NEJM_AI, we used deep learning to analyze longitudinal brain MRIs—learning how scans change over time—to predict tumor recurrence in children. Let’s dive in. 🧠📊 👇
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Danielle Bitterman, MD@dbittermanmd · Jul 7

Are you driven to use AI to transform patient outcomes in oncology? My lab in the AI in Medicine Program (Mass General Brigham, Harvard Medical School) is seeking Postdoc Fellows to pioneer applications of AI—especially LLMs—in cancer care. More here: linkedin.com/posts/danielle…

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Uri Manor 💔@manorlaboratory · Jul 6

My lab’s 5-year NIH R01 grant, awarded to study gene therapy for hearing loss, was abruptly terminated. I want to share how this action has been incredibly harmful and disruptive, not just to my lab, but to the scientific process itself. 1/15

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Emre Yekedüz@yekeduz_emre · Jun 21

Lean body mass–based oxaliplatin dosing reduces peripheral neuropathy in stage III colon cancer without compromising survival! ✅ Lower rates of grade ≥2 oxaliplatin-induced peripheral neuropathy ✅ Better quality of life ✅ No impact on relapse-free survival or overall survival…

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Ravi Uppaluri, MDPhD@DrUppaluri · Jun 18

Here it is! KEYNOTE-689 primary publication online now @NEJM. It’s been an incredible journey with DAdkins @SitemanCenter @WUSM. All started in early 2010s / now with @US_FDA approval and a new standard of care! @DanaFarberNews @BrighamWomens @BrighamSurgery

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Benjamin Kann, MD@BenjaminKannMD · Jun 10

It was a real honor working with @anantm and @CJTsaiMDPhD on this companion piece to our ASCO education session. Exciting things ahead for AI applied to #HNSCC clinical care

AAnant Madabhushi@anantm · Jun 10

Thrilled to share new @ASCO Educational Book Chapter! 📖🤖 AI for head & neck cancer—diagnosis to personalized treatment. 🔹 Better tumor diagnosis & prognosis 🔹 Multimodal AI for survival prediction 🔹 Early toxicity & complication detection Paper: tinyurl.com/4rd2c4kn

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Jeff Ryckman@jryckman3 · May 31

🧵1/ Big news in unresectable stage III NSCLC. The InTRist study is the first randomized trial comparing NAC vs. neoadjuvant chemoimmunotherapy (NAC-ICI) prior to definitive chemoradiotherapy (CRT). Early results are promising. Let’s dig in. 🔍 #LungCancer #RadOnc #ASCO25

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Mass General Brigham Research@MGBResearchNews · May 2

In a new study, researchers from @BrighamRadOnc and colleagues used an #AI tool to help predict relapse of pediatric brain cancer. The study was published in @NEJM. Read more: massgeneralbrigham.org/en/about/newsr… doi.org/10.1056/AIoa24… @BenjaminKannMD

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Benjamin Kann, MD@BenjaminKannMD · Apr 24

11/ The model and code are open-source 🔗. 🤖Code/Model: github.com/AIM-KannLab/Te… 📰Paper (free access link): ai.nejm.org/stoken/default… 🗞️Press release: massgeneralbrigham.org/en/about/newsr…

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