Juli Klemm
@jklemm
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Program Director in the NCI Center for Strategic Scientific Initiatives. Views are my own.
Joined May 2009
🗝️The right drug molecule will bind to a protein to treat a disease. But what about "undruggable targets"? #JClinic PIs @BarzilayRegina & @MarzyehGhassemi co-authored a new paper in @NatureBiotech w/ 15 co-authors on how AI could challenge drug design. https://t.co/IewlHEAeRj
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The 1st real world multimodal, integrated, automated data resource of ~25,000 cancer patients — with NLP of structured and unstructured EHR text, genomics, radiology reports -> Improved prediction for patient outcomes @MSKCancerCenter @nikolausschultz and colleagues @Nature
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Check out this amazing new tutorial that shows how you can use @galaxyproject to create, train, and test deep learning models in your web browser! There's so much you can do with machine learning in Galaxy these days. We'll be sharing more tutorials and examples very soon
Ever wondered how to build a deep learning model to classify images? We’ve got a tutorial just for you! https://t.co/XBJNIOKxa1 Demonstrating the power of the Ludwig tool incorporated into Galaxy-ML2: with just 3 files and a few clicks, you can achieve your goal.
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A huge day for spatial omics of cancer, tracing the precise origin and evolution of 20 types of cancer, many in 3D, in ~2,000 individuals, with 12 publications @Nature @NatureCancer @NatureMedicine @naturemethods @CommsBio Collection https://t.co/NLmyFSpuBR
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In Focus: Transforming cancer research through informatics – by @jklemm, Dinah Singer, and Jill Mesirov @NCI_CSSI @theNCI @UCSDCancer
https://t.co/RpSII0OG5u
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Science in Society: A new era of data-driven cancer research and care: opportunities and challenges – by @FeliciaGomez02, @AMDanos, @malachigriffith, @obigriffith, and colleagues @WUDeptMedicine
https://t.co/NlE93v4WnY
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.@NIH funding alert: New opportunity to support exceptional Research Software Engineers in biomedical, behavioral, and health fields. Offers salary support for developing and disseminating software tools, plus training users. First deadline: Dec 4, 2024 https://t.co/NArLctAtyR
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MCC's Dr. Jill Mesirov is a senior author in the October @CD_AACR issue, for her research on transforming cancer research through informatics.🎗️ Discover how software tools for cancer research are essential to the entire field: https://t.co/ALWqncPD6f. 🔬
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Moderated by Carey Goldberg (@goldbergcarey), session 1 of our next event features real-life reports of AI in health care from Hugo de O. Campos, Grace Cordovano, PhD, BCPA (@GraceCordovano) & Jorge Rodriguez, MD (@translatedmed). Save your spot: https://t.co/e9Lu9Izryb
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Thrilled to drop new perspective @CD_AACR "New Era of Data-Driven Cancer Research & Care" with @FeliciaGomez02 @Pallavi_Tiwari @SpyridonBakas @chrisdav66 @ElanaFertig @kalpathy1 @JohannaKenney @VanAllenLab @FredPrior @malachigriffith @obigriffith URL: https://t.co/orlscX5wXS
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NLM’s #ClinVar streamlines genomic data access to empower clinicians with crucial insights for cancer diagnosis, patient care & treatment outcomes. Its most recent update better supports #SomaticVariants! 🧬 Today’s #NLMMusings shares more + how to submit: https://t.co/ScGaWDxn8T
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Survey to Assess the Needs for Compute-Intensive Resources in the Cancer Research Community The National Cancer Institute CBIIT is conducting a survey to assess the compute-intensive resource needs of the cancer research community. https://t.co/rWcKK7Jxb4
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Artificial Intelligence (AI) has the potential to transform everything we do in #CancerResearch. For instance, #AI is helping to improve the speed, accuracy, and reliability of some cancer screening and detection methods. Dive in 🏊🏼♀️ for more. https://t.co/Xz4l1Yqaar
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NIH is giving away cloud compute. Students and postdocs take note!
Are you an NIH-affiliated researcher? Check out this bioinformatics program to explore the cloud at no cost in a secure environment with $500 of #AWS, #Azure, or #GoogleCloud credits. Visit the Cloud Lab homepage to learn more! #cloudcomputing
https://t.co/S4zPqs8Lt5
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Just published for today's #AACR24 Plenary Session: #ArtificialIntelligence in Oncology— Current Landscape, Challenges, and Future Directions, a review by @ecerami et al. https://t.co/6c8oqQYjY7
@DanaFarber @dfcidatascience
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I'm excited to be heading to #AACR24 soon. I'll be at the NCI booth on Sunday, April 7, 3:00-5:00. Stop by if you have questions about the #NCIITCR program or #cancerAI funding opportunities.
cancer.gov
The ITCR program supports informatics technology development driven by critical needs in cancer research.
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🚀 Exciting news! #ODSS just dropped a Research Opportunity Announcement for their Advancing #HealthResearch through Ethical, Multimodal AI Initiative! Dive in to support the creation of ethical, data-driven, multimodal #AI. Learn more: https://t.co/8MsPy0Vi47
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