📌 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
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!
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
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!
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
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!
‼️ #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
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
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
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
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)
Validating a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning https://t.co/T1Av5OJdaI #bioRxiv
Topical content...
Blinded human reviewers only detected 68% of #ChatGPT generated scientific abstracts, despite incorrectly identifying 14% of real abstracts as being generated.
https://t.co/mKWr977aeT