Breast Medical Oncologist @UCCancerCenter | Former chief resident @YaleIMed | Using big data and AI to answer clinical questions in breast cancer care

Chicago, IL
Joined March 2009
Meet Dr. Frederick Howard (@fredhow) a medical oncologist at @UChicagoMed doing pioneering work at the intersection of AI, computational pathology, and breast cancer precision medicine. @UChicagoBreast uchicagomedicine.org/find-a-… #FollowFriday #AIinCancer #ComputationalPathology
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📌 Improved identification of high-risk node-negative breast cancer using a multimodal clinical, pathologic, and genomic model in the TAILORx Trial ✨Rapid Oral Session 1 @fredhow #ESMOBreast26 @OncoAlert #OncoAlertAF
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Dr. @fredhow and colleagues from across the globe have a new article out in @AACR's Clinical Cancer Research: aacrjournals.org/clincancerr… Read on to learn how they've used machine learning to better predict recurrence risk and treatment efficacy!
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🚨 New article alert!! 🚨 A great new piece in @Annals_Oncology about the benefits of anthracyclines in certain types of #BreastCancer: annalsofoncology.org/article… from Drs. @fredhow, @MsNanchen, & others! @UCCancerCenter // @UChicagoMed
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In a new commentary Freeman et al. points out that patients with ER-low tumors may not benefit from estrogen therapy in adjuvant setting, suggesting re-evaluation of systemic treatment strategies. @UChicagoHemOnc @RitaNandaMD @fredhow @uchicago_obgyn ow.ly/Leto50WObj7
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🔥Hot off the press: In a new study, @UChicagoMed’s researchers found that triple-negative breast cancer patients with lower socioeconomic status have less access to life-saving treatments. @JAMANetworkOpen @fredhow @spshubeck @UChicagoHemOnc @UChicagoPHS ow.ly/hl4T50V1qkZ
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Fred Howard retweeted
Jazzed to see our work describing *potential LLM use trends in @ASCO abstracts* as one of the @JCO_ASCO family top articles of 2024. Check out all the top articles here: ascopubs.org/2024-top-articl…. @fredhow @LGM_Biostats @JCOCCI_ASCO @UCCancerCenter @UChicagoBSD
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Congratulations to @NUCATSInstitute member @CatGaoHow, who has been named Associate Director of @IAIM_NU 's Center for Collaborative AI in Healthcare. A physician-scientist, Gao’s research focuses on leveraging machine learning to enhance ICU patient care bit.ly/3NOlfmG
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So honored and grateful for this! Thanks to all the mentors and team members who have supported me. 💖 Looking forward to exciting new work together with @IAIM_NU @IPHAM_CHIP @NM_Lung @NUFeinbergMed and many others!
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Exciting work in @Nature_NPJ from @UChiPritzker's Asim Dhungana - predicting recurrence from quantitative IHC using #machinelearning, prognostic in Oncotype high/low risk cases, calculator at rsncdb.cri.uchicago.edu @UCCancerCenter @UChicagoBreast #bcsm doi.org/10.1038/s41523-024-0…
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‼️ #ASCO24 simultaneous publication by @lab_pearson et al: Characterizing the Increase in Artificial Intelligence Content Detection in Oncology Scientific Abstracts from 2021 to 2023: ➡️brnw.ch/21wKljc
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Replying to @fredhow
@fredhow presents an excellent poster at #ASCO24 showing increased use of ChatGPT in generating scientific abstracts directed towards need to bring new policies. @Lab_Pearson @UCCancerCenter @UChicagoHemOnc
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@jcocci_asco will publish @fredhow @LGM_Biostats work "Characterizing the Increase in Artificial Intelligence Content Detection in Oncology Scientific Abstracts from 2021 to 2023" and #JCOCCI EIC Dr. Jeremy Warner to discuss live. 📍June 2, 10:00AM S403B. (Journals Lounge) (4/n)
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Absolutely outstanding discussion of AI based predictors specifically around lobular breast cancer by @fredhow @UChicagoMed following amazing work by @FresiaPareja in the Reis Filho lab
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Augustin Vannier discusses the data in today’s poster session at #ASCO23. He explains the utilization of genomic data to identify the patients that benefit from chemotherapy treatment. @fredhow @UCCancerCenter @UChicagoMed @UChicagoHemOnc
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Our latest paper, "Deep learning generates synthetic cancer histology for explainability and education", is out! nature.com/articles/s41698-0…. We use #digitalpathology AI for 🧪 scientific discovery & 🏫 education by enabling deep neural networks to "teach back" what they learn. (1/5)
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Overjoyed to see CarpeDiem out in @jclinicalinvest! We used #machinelearning to examine unresolving pneumonia here: jci.org/articles/view/170682… @NM_Lung @NUFeinbergMed @NIAIDNews @nsmarkov @macwalterMD @RoganAGrant @lrasmus @yuanhypnosluo @ScottBudinger @Misharin_lab @bsinger007
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Validating a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning biorxiv.org/cgi/content/shor… #bioRxiv
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