David F Steiner
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Explore the profile of David F Steiner including associated specialties, affiliations and a list of published articles.
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28
Citations
1100
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Recent Articles
1.
Loo J, Robbins M, McNeil C, Yoshitake T, Santori C, Shan C, et al.
Cancer Res Commun
. 2024 Dec;
5(1):54-65.
PMID: 39636222
We extend the capabilities of virtual staining from AF to a different disease and stain modality. Our work includes newly developed virtual stains for H&E and a multiplex immunofluorescence panel...
2.
Reitsam N, Grosser B, Steiner D, Grozdanov V, Wulczyn E, LImperio V, et al.
Commun Med (Lond)
. 2024 Aug;
4(1):163.
PMID: 39147895
Background: Tumor-Adipose-Feature (TAF) as well as SARIFA (Stroma AReactive Invasion Front Areas) are two histologic features/biomarkers linking tumor-associated adipocytes to poor outcomes in colorectal cancer (CRC) patients. Whereas TAF was...
3.
Wong P, McNeil C, Wang Y, Paparian J, Santori C, Gutierrez M, et al.
Mod Pathol
. 2024 Jul;
37(11):100573.
PMID: 39069201
The tissue diagnosis of adenocarcinoma and intraductal carcinoma of the prostate includes Gleason grading of tumor morphology on the hematoxylin and eosin stain and immunohistochemistry markers on the prostatic intraepithelial...
4.
Krogue J, Azizi S, Tan F, Flament-Auvigne I, Brown T, Plass M, et al.
Commun Med (Lond)
. 2023 Apr;
3(1):59.
PMID: 37095223
Background: Presence of lymph node metastasis (LNM) influences prognosis and clinical decision-making in colorectal cancer. However, detection of LNM is variable and depends on a number of external factors. Deep...
5.
LImperio V, Wulczyn E, Plass M, Muller H, Tamini N, Gianotti L, et al.
JAMA Netw Open
. 2023 Mar;
6(3):e2254891.
PMID: 36917112
Importance: Identifying new prognostic features in colon cancer has the potential to refine histopathologic review and inform patient care. Although prognostic artificial intelligence systems have recently demonstrated significant risk stratification...
6.
Jaroensri R, Wulczyn E, Hegde N, Brown T, Flament-Auvigne I, Tan F, et al.
NPJ Breast Cancer
. 2022 Oct;
8(1):113.
PMID: 36192400
Histologic grading of breast cancer involves review and scoring of three well-established morphologic features: mitotic count, nuclear pleomorphism, and tubule formation. Taken together, these features form the basis of the...
7.
Determining breast cancer biomarker status and associated morphological features using deep learning
Gamble P, Jaroensri R, Wang H, Tan F, Moran M, Brown T, et al.
Commun Med (Lond)
. 2022 May;
1:14.
PMID: 35602213
Background: Breast cancer management depends on biomarkers including estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 (ER/PR/HER2). Though existing scoring systems are widely used and well-validated, they...
8.
Wulczyn E, Nagpal K, Symonds M, Moran M, Plass M, Reihs R, et al.
Commun Med (Lond)
. 2022 May;
1:10.
PMID: 35602201
Background: Gleason grading of prostate cancer is an important prognostic factor, but suffers from poor reproducibility, particularly among non-subspecialist pathologists. Although artificial intelligence (A.I.) tools have demonstrated Gleason grading on-par...
9.
Silberman R, Steiner D, Lo A, Gomez A, Zehnder J, Chu G, et al.
JCO Precis Oncol
. 2022 Feb;
3:1-5.
PMID: 35100706
No abstract available.
10.
Bulten W, Kartasalo K, Chen P, Strom P, Pinckaers H, Nagpal K, et al.
Nat Med
. 2022 Jan;
28(1):154-163.
PMID: 35027755
Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies. However, results have been limited to individual studies, lacking validation in multinational settings. Competitions have been shown to...