Fred Howard

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

[UChicago Medicine Comprehensive Cancer Center @UCCancerCenter]

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
https://t.co/dZ3oMeVAV2
#FollowFriday #AIinCancer #ComputationalPathology

[Elisabetta Bonzano MD, PhD @to_be_elizabeth]

📌 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

[University of Chicago Hematology/Oncology @UChicagoHemOnc]

Dr. @fredhow and colleagues from across the globe have a new article out in @AACR's Clinical Cancer Research: https://t.co/tCo4WLolmP

Read on to learn how they've used machine learning to better predict recurrence risk and treatment efficacy!

[University of Chicago Hematology/Oncology @UChicagoHemOnc]

🚨 New article alert!! 🚨

A great new piece in @Annals_Oncology about the benefits of anthracyclines in certain types of #BreastCancer: https://t.co/WoRTiXXEW1

from Drs. @fredhow, @MsNanchen, & others!
@UCCancerCenter // @UChicagoMed

[UChicago Medicine Comprehensive Cancer Center @UCCancerCenter]

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
https://t.co/jfuTlNWnhn

[UChicago Medicine Comprehensive Cancer Center @UCCancerCenter]

🔥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
https://t.co/ouRhacK4CL

[University of Chicago Hematology/Oncology @UChicagoHemOnc]

2 important articles in the @JCO_ASCO Top Articles of 2024:
https://t.co/fSyqJr5LKI in @JCOCCI_ASCO by Dr. @fredhow, Dr. Pearson, Anran Li, & colleagues and https://t.co/xphpHSwuDQ in JCO Oncology Advances by Drs. Huo, @RitaNandaMD, @MsNanchen, @fredhow from Hem/Onc & colleagues!

[Pearson Lab @lab_pearson]

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: https://t.co/ug48QHEHte. @fredhow @LGM_Biostats @JCOCCI_ASCO @UCCancerCenter @UChicagoBSD

[NUCATS Institute @NUCATSInstitute]

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 https://t.co/WStoB4jobA

[Cathy Gao-Howard, MD MS @CatGaoHow]

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!

[Fred Howard @fredhow]

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 https://t.co/NjrzUCM7e7 @UCCancerCenter @UChicagoBreast #bcsm https://t.co/LV34GnAvrU

[JCO Clinical Cancer Informatics @JCOCCI_ASCO]

‼️ #ASCO24 simultaneous publication by @lab_pearson et al:

Characterizing the Increase in Artificial Intelligence Content Detection in Oncology Scientific Abstracts from 2021 to 2023: ➡️https://t.co/xSOZoZ0Sup

[UChicago Medicine Comprehensive Cancer Center @UCCancerCenter]

@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

[Pearson Lab @lab_pearson]

@UChiPritzker @fredhow @ASCO @LGM_Biostats @OpenAI @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)

[Fred Howard @fredhow]

Excited to share our study of RSClin in 280k pts https://t.co/BnLgQDafkK In the lowest risk pts per RSClin-no chemo benefit even if Oncotype high. For high risk-question of OFS vs chemo remains (I vote OFS) Congrats Augustin! @GenomicHealth @folopade @RitaNandaMD @UChicagoBreast

[Daniel Stover, MD, FASCO @StoverLab]

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

[UChicago Medicine Comprehensive Cancer Center @UCCancerCenter]

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

[James Dolezal @JamesDolezal]

Our latest paper, "Deep learning generates synthetic cancer histology for explainability and education", is out! https://t.co/MYM446Ml4Z. We use #digitalpathology AI for 🧪 scientific discovery & 🏫 education by enabling deep neural networks to "teach back" what they learn. (1/5)

[Cathy Gao-Howard, MD MS @CatGaoHow]

Overjoyed to see CarpeDiem out in @jclinicalinvest! We used #machinelearning to examine unresolving pneumonia here: https://t.co/TVuMBxd0VM @NM_Lung @NUFeinbergMed @NIAIDNews @nsmarkov @macwalterMD @RoganAGrant @lrasmus
@yuanhypnosluo @ScottBudinger @Misharin_lab @bsinger007

[bioRxiv @biorxivpreprint]

Validating a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning https://t.co/T1Av5OJdaI #bioRxiv