Falah Jabar Rahim,
Lill-Tove Rasmussen Busund,
Biagio Ricciuti,
Masoud Tafavvoghi,
Thomas K. Kilvaer,
David J. Pinato
et al.:
Fully Automatic Content-Aware Tiling Pipeline for Pathology Whole Slide Images
Intelligence-Based Medicine 01. November 2025
DOI
Amin H. Nassar,
Chul Kim,
Tolulope Adeyelu,
Elias Bou Farhat,
Hassan Abushukair,
Mehrdad Rakaee
et al.:
Integrated molecular and clinical characterization of pulmonary large cell neuroendocrine carcinoma
Nature Communications 19. August 2025
DOI
Dagny Førde,
Thomas Karsten Kilvær,
Mona Irene Pedersen,
Ana Paola Lombardi,
Irene D’arsiè,
Erna-Elise Paulsen
et al.:
Prognostic impact of miR-17-5p and miR-20a-5p in NSCLC diverge in subgroups according to lymph node status
Frontiers in Oncology 25. September 2025
DOI
Bernhard Scheiner,
Pasquale Lombardi,
Antonio D’Alessio,
Gwangil Kim,
Masoud Tafavvoghi,
Oleksandr Petrenko
et al.:
Preliminary qualification of a machine learning-based assessment of the tumor immune infiltrate as a predictor of outcome in patients with hepatocellular carcinoma treated with atezolizumab plus bevacizumab
Journal for ImmunoTherapy of Cancer (JITC) 01. Oktober 2025
DOI
Dagny Førde,
Thomas Karsten Kilvær,
Mona Irene Pedersen,
Egil Støre Blix,
Ilona Halva Urbarova,
Erna-Elise Paulsen
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 Rakaee,
Masoud Tafavvoghi,
Biagio Ricciuti,
Joao V Alessi,
Alessio Cortellini,
Fabrizio Citarella
et al.:
Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer
Masoud Tafavvoghi,
Anders Sildnes,
Mehrdad Rakaee,
Nikita Shvetsov,
Lars Ailo Aslaksen Bongo,
Lill-Tove Rasmussen Busund
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 Kerepesi,
Hassan Mohammed Abushukair,
Biagio Ricciuti,
Amin H Nassar,
Elio Adib,
Joao V Alessi
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 Paulsen,
Sigve Andersen,
Mehrdad Rakaee,
Mona Irene Pedersen,
Ana Paola Lombardi,
Mette Pøhl
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 Nibid,
Carlo Greco,
Ermanno Cordelli,
Giovanna Sabarese,
Michele Fiore,
Charles Z. Liu
et al.:
Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer
Mehrdad Rakaee,
Sigve Andersen,
K. Giannikou,
Erna-Elise Paulsen,
Thomas Karsten Kilvær,
Lill-Tove Rasmussen Busund
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 Ricciuti,
Arielle Elkrief,
Joao Alessi,
Xinan Wang,
Yvonne Li,
Hersh Gupta
et al.:
Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
Clinical Cancer Research 2023
DOI
Donjeta Gjuka,
Elio Adib,
Kendra Garrison,
Jianfeng Chen,
Yuxue Zhang,
Wenjiao Li
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 Rakaee,
Per Niklas Benzler Waaler,
Falah Jabar Rahim,
Krinio Giannikou,
Elio Adib,
Sigve Andersen
et al.:
Abstract 5366: DRAGEN pipeline validation for somatic variant detection in diagnostics using TSO500 panel
Cancer Research 21. April 2025
DOI
Elias Bou Farhat,
Amin Nassar,
Hassan Mohammed Abushukair,
Michel Alchoueiry,
Samer Salem,
Marc Machaalani
et al.:
Molecular and clinical insights of trastuzumab deruxtecan efficacy in advanced breast cancer (aBC).
Journal of Clinical Oncology 01. Juni 2025
DOI
Masoud Tafavvoghi,
Elio Adib,
Elias Bou Farhat,
Falah Jabar Rahim,
Amin Nassar,
Åslaug Helland
et al.:
Single-slide histology-based deep learning model for mismatch repair deficiency prediction in colorectal cancer.
Journal of Clinical Oncology 01. Juni 2025
DOI
Mehrdad Rakaee,
Solfrid Thunold,
Masoud Tafavvoghi,
Åsa Kristina Öjlert,
Krinio Giannikou,
Elio Adib
et al.:
Multiomics profiling for prediction of immunotherapy response in advanced pleural mesothelioma: Sub-study of the NIPU trial.
Journal of Clinical Oncology 01. Juni 2025
DOI
Solfrid Thunold,
Mehrdad Rakaee,
K. Giannikou,
Eivor Hernes,
Saima Jamil Farooqi,
Å.K. Öjlert
et al.:
2977P Dual-time-point [18F] FDG PET/CT and tumour microenvironment features in pleural mesothelioma patients receiving immunotherapy
Annals of Oncology 01. September 2025
DOI
Mehrdad Rakaee
:
Pathology Foundation Models for Molecular and IO prediction
Mehrdad Rakaee
:
AI In Computational Pathology for Predicting Immunotherapy Outcomes
Mehrdad Rakaee
:
Revealing immune response and resistance through spatial profiling of NSCLC microenvironment
03. September 2025
Mehrdad Rakaee
:
Deep learning model for predicting immunotherapy response in patients with advanced NSCLC
Mehrdad Rakaee
:
Lovende biomarkør for immunterapi ved pleuramesoteliom
02. Juni 2025
Mehrdad Rakaee
:
Maskinlæring kan avgjøre når tester spriker om tarmkreftbehandling
01. Juni 2025
Mehrdad Rakaee
:
Priser til fremragende forskere ved Oslo universitetssykehus 2025 - Oslo universitetssykehus HF
06. Juni 2025
Mehrdad Rakaee
:
Priser til fremragende forskningsartikler publisert høsten 2024 - Oslo universitetssykehus HF
28. Mai 2025
Mehrdad Rakaee
:
AI Model Predicts Immunotherapy Response in Advanced Lung Cancer Patients | Managed Healthcare Executive
08. Januar 2025
M.S. Robertsen,
Per Niklas Benzler Waaler,
Sigve Andersen,
Erna-Elise Paulsen,
Thomas Karsten Kilvær,
Sissel Gyrid Freim Wahl
et al.:
1802P Tissue tumor mutational burden and risk of recurrence in early-stage non-small cell lung cancer
Annals of Oncology 01. September 2025
DOI
A.H. Nassar,
E. Bou Farhat,
N. Ghandi,
E. Adib,
Mehrdad Rakaee,
K. Raghav
et al.:
PT2.14.05 Redefining Clinical Outcomes for Peritoneal Mesothelioma (PeM) in the Era of Immunotherapy
Journal of Thoracic Oncology 01. Oktober 2025
DOI
E. Gariazzo,
A. Elkrief,
K. Concannon,
D. Ognissanti,
A. Dodi,
V. Favorito
et al.:
PT2.11.01 Predictors of Response to PD-(L)1 Blockade in Patients With Oncogene-Driver Negative NSCLC Without History of Tobacco Use
Journal of Thoracic Oncology 01. Oktober 2025
DOI
Mehrdad Rakaee,
Masoud Tafavvoghi,
A. Cortellini,
Sigve Andersen,
Falah Jabar Rahim,
L. Brunetti
et al.:
P1.11.62 Deep Learning Histopathology Model for PD-L1 (TPS) and Immunotherapy Outcome Prediction in Non-Small Cell Lung Cancer
Journal of Thoracic Oncology 01. Oktober 2025
DOI
Elio Adib,
falah jabar,
Masoud Tafavvoghi,
Amin Nassar,
Elias Bou Farhat,
Harvey J. Mamon
et al.:
Deep learning–powered analysis of tumor-infiltrating lymphocytes (TILs) in colorectal cancer
Journal of Clinical Oncology 01. Februar 2025
DOI
Mehrdad Rakaee
:
Existing biomarkers predicting ICI treatment response in advanced NSCLC - OncoDaily
29. Dezember 2024
Mehrdad Rakaee
:
Young Researcher of 2024 at Onkologisk Forum
21. November 2024
Mehrdad Rakaee
:
Immune Infiltration in the Tumor Microenvironment May Affect the Efficacy of Immunotherapy
21. November 2024
Mehrdad Rakaee
:
Tumormikromiljø og effekt av immunterapi
Elio Adib,
falah jabar,
Masoud Tafavvoghi,
Amin Nassar,
Lill-Tove Rasmussen Busund,
Tom Dønnem
et al.:
Artificial Intelligence-powered analysis of the tumor immune microenvironment in primary and metastatic colorectal cancer
Annals of Oncology 01. September 2024
DOI
Falah Jabar Rahim,
Sigve Andersen,
Erna-Elise Paulsen,
Masoud Tafavvoghi,
Elin Helmine Richardsen,
Sissel Gyrid Freim Wahl
et al.:
Integrating Artificial intelligence (AI)-based lymphocytic infiltration assessment in early-stage NSCLC: A sub-study of the TNM-I trial
Annals of Oncology 01. September 2024
DOI
Mehrdad Rakaee
:
Machine learning and AI in pathology for prediction of response to immunotherapy
2024
Elio Adib,
Mehrdad Rakaee,
Amin Nassar,
Elias Bou Farhat,
Stephen Hodi,
David J. Kwiatkowski
:
Machine learning (ML)-based quantification of tumor-infiltrating lymphocytes (TIL) and clinical outcomes of patients with melanoma treated with immune-checkpoint inhibitors (ICI)
Journal of Clinical Oncology 01. Juni 2023
DOI
Mehrdad Rakaee
:
Stian har livstruende lungekreft: – Jeg er beviset på at forskning nytter
08. Juni 2023
Mehrdad Rakaee,
Masoud Tafavvoghi,
Elio Adib,
Biagio Ricciuti,
Joao Alessi,
Alessio Cortellini
et al.:
Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
Journal of Clinical Oncology 01. Juni 2023
DOI
Scheiner Bernhard,
Alessio Antonio,
Kim Gwangil,
D. Goldin Robert,
A.M. Fulgenzi Claudia,
Balcar Lorenz
et al.:
MACHINE LEARNING-BASED ASSESSMENT OF TUMOUR- INFILTRATING LYMPHOCYTES PREDICTS OUTCOMES IN PATIENTS WITH HEPATOCELLULAR CARCINOMA UNDERGOING ATEZOLIZUMAB AND BEVACIZUMAB TREATMENT
2023
Mehrdad Rakaee,
Patrick Holmstad
:
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 Rakaee,
Siri Kristoffersen
:
Developing a machine learning model for tumor cell quantification in standard histology images of lung cancer
UiT Norges arktiske universitet 31. Mai 2023
Mehrdad Rakaee,
Elio Adib,
Biagio Ricciuti,
Lynette M. Sholl,
Weiwei Shi,
Joao V Alessi
et al.:
Computational pathology by Artificial Intelligence (AI) on quantifying the lymphocytic infiltration predicts the immunotherapy response in NSCLC
2022
Mehrdad Rakaee
:
AI-based in-situ immunophenotypes and genomic alterations in non-small cell lung cancer
2022
Mehrdad Rakaee,
Elio Adib,
Biagio Ricciuti,
Lynette M. Sholl,
Joao V.Alessi,
Alessio Cortellini
et al.:
Digital quantification of lymphocytic infiltration on routine H&E images and immunotherapy response in non-small cell lung cancer
2022
Mehrdad Rakaee,
Elio Adib,
Biagio Ricciuti,
Lynette M. Sholl,
Weiwei Shi,
Joao V.Alessi
et al.:
Artificial intelligence in digital pathology approach identifies the predictive impact of tertiary lymphoid structures with immune-checkpoints therapy in NSCLC
Journal of Clinical Oncology 01. Juni 2022
DOI
Mehrdad Rakaee
:
Digital quantification of lymphocytic infiltration on routine H&E images predicts efficacy of immunotherapy in NSCLC
2022