Dagny,
Thomas Karsten,
Mona Irene,
Egil Støre,
Ilona Halva,
Erna-Elise
et al.:
High density of TCF1+ stem-like tumor-infiltrating lymphocytes is associated with favorable disease-specific survival in NSCLC
Frontiers in Immunology 2024
DOI /
ARKIV
Mehrdad,
Masoud,
Biagio,
Joao V,
Alessio,
Fabrizio
et al.:
Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer
Masoud,
Anders,
Mehrdad,
Nikita,
Lars Ailo Aslaksen,
Lill-Tove Rasmussen
et al.:
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
Journal of Pathology Informatics 2024
DOI /
ARKIV
Csaba,
Hassan Mohammed,
Biagio,
Amin H,
Elio,
Joao V
et al.:
Association of Baseline Tumor-Specific Neoantigens and CD8+ T-Cell Infiltration With Immune-Related Adverse Events Secondary to Immune Checkpoint Inhibitors
JCO Precision Oncology (JCO PO) 2024
DOI
Erna-Elise,
Sigve,
Mehrdad,
Mona Irene,
Ana Paola,
Mette
et al.:
Impact of microvessel patterns and immune status in NSCLC: a non-angiogenic vasculature is an independent negative prognostic factor in lung adenocarcinoma
Lorenzo,
Carlo,
Ermanno,
Giovanna,
Michele,
Charles Z.
et al.:
Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer
Mehrdad,
Sigve,
K.,
Erna-Elise,
Thomas Karsten,
Lill-Tove Rasmussen
et al.:
Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial
Biagio,
Arielle,
Joao,
Xinan,
Yvonne,
Hersh
et al.:
Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Clinical Cancer Research 2023
DOI
Donjeta,
Elio,
Kendra,
Jianfeng,
Yuxue,
Wenjiao
et al.:
Enzyme-mediated depletion of methylthioadenosine restores T cell function in MTAP-deficient tumors and reverses immunotherapy resistance
Cancer Cell 28. September 2023
DOI
Mehrdad,
Elio,
Biagio,
Lynette M. Sholl,
Weiwei,
Joao V.
et al.:
Association of machine learning-based assessment of tumor-infiltrating lymphocytes on standard histologic images with outcomes of immunotherapy in patients with NSCLC
JAMA Oncology 17. November 2022
DOI
Maria Jenvin,
Sigve,
Mehrdad,
Mona I.,
Lise Martine,
Tom
et al.:
Overexpression of mir-20a-5p in tumor epithelium is an independent negative prognostic indicator in prostate cancer—a multi-institutional study
Simin,
Mehrdad,
Reza,
George,
Kristin Andreassen
:
Interplay of immune and kidney resident cells in the formation of tertiary lymphoid structures in lupus nephritis
Maria Jenvin,
Sigve,
Mehrdad,
Mona Irene,
Lise Martine,
Roy M.
et al.:
High expression of miR-17-5p in tumor epithelium is a predictor for poor prognosis for prostate cancer patients
Håkon Andre,
Elin,
Gustavo Antonio De,
Mehrdad,
Maria,
Peder Rustøen
et al.:
Proteomic analyses identify major vault protein as a prognostic biomarker for fatal prostate cancer
Mehrdad,
Thomas Karsten,
Simin,
Thomas,
Erna-Elise,
Marte
et al.:
Tertiary lymphoid structure score: a promising approach to refine the TNM staging in resected non-small cell lung cancer
British Journal of Cancer 2021
DOI
Thomas Karsten,
Erna-Elise,
Sigve,
Mehrdad,
Roy M.,
Lill-Tove Rasmussen
et al.:
Digitally quantified CD8+ cells: the best candidate marker for an immune cell score in non-small cell lung cancer?
Elin,
Sigve,
Christian,
Mehrdad,
Nora,
Samer
et al.:
MicroRNA 141 is associated to outcome and aggressive tumor characteristics in prostate cancer
Mehrdad,
Lill-Tove,
Simin,
Erna-Elise,
Elin,
Sigve
et al.:
Prognostic Value of Macrophage Phenotypes in Resectable Non–Small Cell Lung Cancer Assessed by Multiplex Immunohistochemistry
Thomas Karsten,
Mehrdad,
Turid,
Jørg,
Luigi de,
Tom
et al.:
Differential prognostic impact of platelet-derived growth factor receptor Expression in NSCLC
Elin,
Sigve,
Samer,
Mehrdad,
Yngve,
Mona Irene
et al.:
Low expression of miR-424-3p is highly correlated with clinical failure in prostate cancer
Thea K.W.,
Elin,
Sigve,
Kaja Konstanse,
Mehrdad,
Tom
et al.:
Progesterone receptors in prostate cancer: Progesterone receptor B is the isoform associated with disease progression
Mehrdad,
Thomas Karsten,
Stig Manfred,
Elin,
Erna Elise,
Sigurd
et al.:
Evaluation of tumor-infiltrating lymphocytes using routine H&E slides predicts patient survival in resected non-small cell lung cancer
Sigurd,
Mehrdad,
Inigo Zubiavrre,
Elin,
Samer,
Erna Elise
et al.:
LAG-3 in Non-Small-cell Lung Cancer: Expression in Primary Tumors and Metastatic Lymph Nodes Is Associated With Improved Survival
Clinical Lung Cancer 2018
DOI
Thomas Karsten,
Mehrdad,
Turid,
Arne,
Carina,
Roy M.
et al.:
Tissue analyses reveal a potential immune-adjuvant function of FAP-1 positive fibroblasts in non-small cell lung cancer
Nora,
Sigve,
Mehrdad,
Cecilie,
Andrey Yurjevich,
Erna-Elise
et al.:
The prognostic role of immune checkpoint markers programmed cell death protein 1 (PD-1) and programmed death ligand 1 (PD-L1) in a large, multicenter prostate cancer cohort
Elin,
Sigve,
Samer,
Mehrdad,
Yngve,
Mona Irene
et al.:
Evaluation of the proliferation marker Ki-67 in a large prostatectomy cohort
Yngve,
Elin,
Mehrdad,
Nora,
Tom,
Hitendra R.H.
et al.:
High expression of PDGFR-β in prostate cancer stroma is independently associated with clinical and biochemical prostate cancer recurrence
Sigve,
Elin,
Mehrdad,
Helena,
Roy M.,
Magne
et al.:
Expression of phosphatase of regenerating liver (PRL)-3, is independently associated with biochemical failure, clinical failure and death in prostate cancer
Elio,
falah,
Masoud,
Amin,
Elias Bou,
Harvey J.
et al.:
Deep learning–powered analysis of tumor-infiltrating lymphocytes (TILs) in colorectal cancer
2025
Elio,
falah,
Masoud,
Amin,
Lill-Tove Rasmussen,
Tom
et al.:
Artificial Intelligence-powered analysis of the tumor immune microenvironment in primary and metastatic colorectal cancer
2024
falah,
Sigve,
Erna-Elise,
Masoud,
Elin Helmine,
Sissel Gyrid Freim
et al.:
Integrating Artificial intelligence (AI)-based lymphocytic infiltration assessment in early-stage NSCLC: A sub-study of the TNM-I trial
2024
Mehrdad
:
Machine learning and AI in pathology for prediction of response to immunotherapy
2024
Elio,
Mehrdad,
Amin,
Elias Bou,
Stephen,
David J.
:
Machine learning (ML)-based quantification of tumor-infiltrating lymphocytes (TIL) and clinical outcomes of patients with melanoma treated with immune-checkpoint inhibitors (ICI)
2023
Mehrdad
:
Stian har livstruende lungekreft: – Jeg er beviset på at forskning nytter
08. Juni 2023
Mehrdad,
Masoud,
Elio,
Biagio,
Joao,
Alessio
et al.:
Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
2023
Scheiner,
Alessio,
Kim,
D. Goldin,
A.M. Fulgenzi,
Balcar
et al.:
MACHINE LEARNING-BASED ASSESSMENT OF TUMOUR- INFILTRATING LYMPHOCYTES PREDICTS OUTCOMES IN PATIENTS WITH HEPATOCELLULAR CARCINOMA UNDERGOING ATEZOLIZUMAB AND BEVACIZUMAB TREATMENT
2023
Mehrdad,
Patrick
:
Mutational drivers of a dysfunctional local immune response in resected non-small cell lung cancer (NSCLC) patients
UiT Norges arktiske universitet 30. Mai 2023
Mehrdad,
Siri
:
Developing a machine learning model for tumor cell quantification in standard histology images of lung cancer
UiT Norges arktiske universitet 31. Mai 2023
Mehrdad,
Elio,
Biagio,
Lynette M.,
Weiwei,
Joao V
et al.:
Computational pathology by Artificial Intelligence (AI) on quantifying the lymphocytic infiltration predicts the immunotherapy response in NSCLC
2022
Mehrdad
:
AI-based in-situ immunophenotypes and genomic alterations in non-small cell lung cancer
2022
Mehrdad,
Elio,
Biagio,
Lynette M.,
Joao,
Alessio
et al.:
Digital quantification of lymphocytic infiltration on routine H&E images and immunotherapy response in non-small cell lung cancer
2022
Mehrdad,
Elio,
Biagio,
Lynette M.,
Weiwei,
Joao
et al.:
Artificial intelligence in digital pathology approach identifies the predictive impact of tertiary lymphoid structures with immune-checkpoints therapy in NSCLC
2022
Mehrdad
:
Digital quantification of lymphocytic infiltration on routine H&E images predicts efficacy of immunotherapy in NSCLC
2022
Mehrdad,
Kiniena
:
Heterogeneity Assessment of PD-L1 Expression in Biopsy Versus Resected Specimens of Lung Adenocarcinoma - Machine Learning Approach
UiT Norges arktiske universitet 31. Mai 2022
Elio,
Amin,
Talal,
Neil,
Mehrdad,
Tarek H.
et al.:
Dual CDKN2A/MTAP loss compared to CDKN2A loss alone and response to immunecheckpoint inhibitors (ICI) in advanced solid tumors
2022
Mehrdad,
Siri Gulliksen
:
Tromsø-forsker med på tre posterpresentasjoner
04. Juni 2022
Mehrdad
:
AI-based pathology predicts immunotherapy response in lung
cancer
2022
Mehrdad
:
Genomic and Immunological Landscape of Scandinavian NSCLC
2021
Mehrdad,
Thomas Karsten
:
Immune Infiltration and Clinical Outcome in Non-Small Cell Lung Cancer
UiT Norges arktiske universitet 12. März 2019
Kaja Konstanse,
Thea K.W.,
Mehrdad,
Elin,
Tom,
Thomas Karsten
et al.:
Corrigendum to "Prognostic relevance of estrogen receptor α, β and aromatase expression in non-small cell lung cancer" [Steroids 113 (2016) 5-13]