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Andrew Janowczyk

Explore the profile of Andrew Janowczyk including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 59
Citations 1290
Followers 0
Related Specialties
Pathology
Medical Informatics
Radiology
Top 10 Co-Authors
Anant Madabhushi
Pingfu Fu
Inti Zlobec
Patrick Leo
Rainer Grobholz
Hannah Gilmore
Lawrence D True
Sabina Berezowska
Michael Feldman
Xavier Farre
Published In
J Pathol Inform
JCO Clin Cancer Inform
Med Image Anal
Sci Rep
Lancet Digit Health
Affiliations
Soon will be listed here.
Recent Articles
1.
Clinical Relevance of Computational Pathology Analysis of Interplay Between Kidney Microvasculature and Interstitial Microenvironment
Chen Y, Wang B, Demeke D, Fan F, Berthier C, Mariani L, et al.
Clin J Am Soc Nephrol . 2024 Dec; PMID: 39714939
Background: Interstitial fibrosis and tubular atrophy (IFTA), and density and shape of peritubular capillaries (PTCs), are independently prognostic of disease progression. This study aimed to identify novel digital biomarkers of...
2.
Differentiating Separate Primary Lung Adenocarcinomas From Intrapulmonary Metastases With Emphasis on Pathological and Molecular Considerations: Recommendations From the International Association for the Study of Lung Cancer Pathology Committee
Chou T, Dacic S, Wistuba I, Beasley M, Berezowska S, Chang Y, et al.
J Thorac Oncol . 2024 Nov; 20(3):311-330. PMID: 39579981
Introduction: With the implementation of low-dose computed tomography screening, multiple pulmonary tumor nodules are diagnosed with increasing frequency and the selection of surgical treatments versus systemic therapies has become challenging...
3.
Computational staining of CD3/CD20 positive lymphocytes in human tissues with experimental confirmation in a genetically engineered mouse model
Li X, Heirman C, Rickard A, Sotolongo G, Castillo R, Adanlawo T, et al.
Front Immunol . 2024 Nov; 15:1451261. PMID: 39530103
Introduction: Immune dysregulation plays a major role in cancer progression. The quantification of lymphocytic spatial inflammation may enable spatial system biology, improve understanding of therapeutic resistance, and contribute to prognostic...
4.
Clinical Relevance of Computationally Derived Tubular Features: Spatial Relationships and the Development of Tubulointerstitial Scarring in MCD/FSGS
Fan F, Liu Q, Zee J, Ozeki T, Demeke D, Yang Y, et al.
medRxiv . 2024 Jul; PMID: 39072032
Background: Visual scoring of tubular damage has limitations in capturing the full spectrum of structural changes and prognostic potential. We investigate if computationally quantified tubular features can enhance prognostication and...
5.
CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models
Fan F, Martinez G, DeSilvio T, Shin J, Chen Y, Jacobs J, et al.
Npj Imaging . 2024 Jul; 2(1):15. PMID: 38962496
Batch effects (BEs) refer to systematic technical differences in data collection unrelated to biological variations whose noise is shown to negatively impact machine learning (ML) model generalizability. Here we release...
6.
PatchSorter: a high throughput deep learning digital pathology tool for object labeling
Walker C, Talawalla T, Toth R, Ambekar A, Rea K, Chamian O, et al.
NPJ Digit Med . 2024 Jun; 7(1):164. PMID: 38902336
The discovery of patterns associated with diagnosis, prognosis, and therapy response in digital pathology images often requires intractable labeling of large quantities of histological objects. Here we release an open-source...
7.
An end-to-end workflow for nondestructive 3D pathology
Bishop K, Erion Barner L, Han Q, Baraznenok E, Lan L, Poudel C, et al.
Nat Protoc . 2024 Jan; 19(4):1122-1148. PMID: 38263522
Recent advances in 3D pathology offer the ability to image orders of magnitude more tissue than conventional pathology methods while also providing a volumetric context that is not achievable with...
8.
Neoantigen-specific T-cell response after donor lymphocyte infusion associates with favorable outcome in a patient with i(12p) germ cell tumor, acute leukemia and sarcoma of the same clonal origin
Genoud V, Dutoit V, Thang N, Janowczyk A, McKee T, Chalandon Y, et al.
Haematologica . 2024 Jan; 109(7):2364-2367. PMID: 38186348
No abstract available.
9.
Swiss digital pathology recommendations: results from a Delphi process conducted by the Swiss Digital Pathology Consortium of the Swiss Society of Pathology
Janowczyk A, Zlobec I, Walker C, Berezowska S, Huschauer V, Tinguely M, et al.
Virchows Arch . 2023 Dec; 485(1):13-30. PMID: 38112792
Integration of digital pathology (DP) into clinical diagnostic workflows is increasingly receiving attention as new hardware and software become available. To facilitate the adoption of DP, the Swiss Digital Pathology...
10.
The prognostic value of tumor-stroma ratio and a newly developed computer-aided quantitative analysis of routine H&E slides in high-grade serous ovarian cancer
van Wagensveld L, Walker C, Hahn K, Sanders J, Kruitwagen R, van der Aa M, et al.
Res Sq . 2023 Nov; PMID: 38014112
Introduction: Tumor-stroma ratio (TSR) is prognostic in multiple cancers, while its role in high-grade serous ovarian cancer (HGSOC) remains unclear. Despite the prognostic insight gained from genetic profiles and tumor-infiltrating...