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Frederick Matthew Howard
Frederick Matthew Howard
Assistant Professor of Medicine, University of Chicago
Verified email at uchospitals.edu - Homepage
Title
Cited by
Cited by
Year
Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers
CA Gao, FM Howard, NS Markov, EC Dyer, S Ramesh, Y Luo, ...
NPJ digital medicine 6 (1), 75, 2023
523*2023
Epidemiology of triple-negative breast cancer: a review
FM Howard, OI Olopade
The Cancer Journal 27 (1), 8-16, 2021
1882021
The impact of site-specific digital histology signatures on deep learning model accuracy and bias
FM Howard, J Dolezal, S Kochanny, J Schulte, H Chen, L Heij, D Huo, ...
Nature communications 12 (1), 4423, 2021
178*2021
Machine learning–guided adjuvant treatment of head and neck cancer
FM Howard, S Kochanny, M Koshy, M Spiotto, AT Pearson
JAMA network open 3 (11), e2025881-e2025881, 2020
902020
Clinicopathologic characteristics and prognosis of ERBB2-low breast cancer among patients in the National Cancer Database
DS Peiffer, F Zhao, N Chen, OM Hahn, R Nanda, OI Olopade, D Huo, ...
JAMA oncology 9 (4), 500-510, 2023
502023
Clinical trials of immunotherapy in triple-negative breast cancer
FM Howard, AT Pearson, R Nanda
Breast Cancer Research and Treatment 195 (1), 1-15, 2022
282022
Implementation of an automated scheduling tool improves schedule quality and resident satisfaction
FM Howard, CA Gao, C Sankey
PLoS One 15 (8), e0236952, 2020
222020
A novel approach for transcription factor analysis using SELEX with high-throughput sequencing (TFAST)
DJ Reiss, FM Howard, HLT Mobley
Public Library of Science 7 (8), e42761, 2012
202012
The emerging role of immune checkpoint inhibitors for the treatment of breast cancer
FM Howard, D Villamar, G He, AT Pearson, R Nanda
Expert opinion on investigational drugs 31 (6), 531-548, 2022
192022
Towards patient-specific optimization of neoadjuvant treatment protocols for breast cancer based on image-guided fluid dynamics
C Wu, DA Hormuth, G Lorenzo, AM Jarrett, F Pineda, FM Howard, ...
IEEE Transactions on Biomedical Engineering 69 (11), 3334-3344, 2022
142022
Deep learning generates synthetic cancer histology for explainability and education
JM Dolezal, R Wolk, HM Hieromnimon, FM Howard, A Srisuwananukorn, ...
NPJ Precision Oncology 7 (1), 49, 2023
132023
Racial disparities in pathological complete response among patients receiving neoadjuvant chemotherapy for early-stage breast cancer
F Zhao, M Miyashita, M Hattori, T Yoshimatsu, F Howard, K Kaneva, ...
JAMA network open 6 (3), e233329-e233329, 2023
132023
Response to treatment, racial and ethnic disparity, and survival in patients with breast cancer undergoing neoadjuvant chemotherapy in the US
S Shubeck, F Zhao, FM Howard, OI Olopade, D Huo
JAMA Network Open 6 (3), e235834-e235834, 2023
132023
Molecular profiling of a real-world breast cancer cohort with genetically inferred ancestries reveals actionable tumor biology differences between European ancestry and African …
M Miyashita, JSK Bell, S Wenric, E Karaesmen, B Rhead, M Kase, ...
Breast Cancer Research 25 (1), 58, 2023
122023
Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence
FM Howard, J Dolezal, S Kochanny, G Khramtsova, J Vickery, ...
NPJ Breast Cancer 9 (1), 25, 2023
11*2023
Multimodal deep learning: an improvement in prognostication or a reflection of batch effect?
FM Howard, JN Kather, AT Pearson
Cancer Cell 41 (1), 5-6, 2023
112023
Highly accurate response prediction in high-risk early breast cancer patients using a biophysical simulation platform
FM Howard, G He, JR Peterson, JR Pfeiffer, T Earnest, AT Pearson, H Abe, ...
Breast Cancer Research and Treatment 196 (1), 57-66, 2022
9*2022
Prognosis and treatment of non–small cell lung cancer in the age of deep learning
FM Howard, AT Pearson
JAMA network open 3 (6), e206368-e206368, 2020
82020
The impact of race and age on response to neoadjuvant therapy and long-term outcomes in Black and White women with early-stage breast cancer
E Terman, J Sheade, F Zhao, FM Howard, N Jaskowiak, J Tseng, N Chen, ...
Breast Cancer Research and Treatment 200 (1), 75-83, 2023
62023
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
JM Dolezal, S Kochanny, E Dyer, S Ramesh, A Srisuwananukorn, ...
BMC bioinformatics 25 (1), 134, 2024
52024
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