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Martin Eklund

Associate professor

Karolinska Institutet

Sweden

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Research Interests

Medical Imaging

80%

Biostatistics

30%

Biomarker Research

30%

Prostate Cancer

30%

Biopsy

20%

Endocrinology

20%

Deep Learning

20%

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Articles19

Evaluating the performance of existing tools to predict clinically significant prostate cancer in men with indeterminate lesions on biparametric MRI and development of a novel multiplex model: a prospective cohort study

Article Link

Year:

2025

Data Resource Profile: STHLM0, the Stockholm Prostate Cancer Diagnostics Register

Article Link

Year:

2025

Gleason scores provide more accurate prognostic information than grade groups

Article Link

Year:

2025

Human-AI Interaction in the ScreenTrustCAD Trial: Recall Proportion and Positive Predictive Value Related to Screening Mammograms Flagged by AI CAD versus a Human Reader

Article Link

Year:

2025

Anti-CD14 Treatment in Patients With Severe COVID-19 Clinical and Biological Effects in a Phase 2 Randomized Open-Label Adaptive Platform Clinical Trial

Article Link

Year:

2025

Stockholm3 in a Multiethnic Cohort for Prostate Cancer Detection (SEPTA): A Prospective Multicentered Trial

Article Link

Year:

2024

Prostate cancer incidence and mortality in men exposed to α1-adrenergic receptor antagonists

Article Link

Year:

2024

AI-based selection of individuals for supplemental MRI in population-based breast cancer screening: the randomized ScreenTrustMRI trial

Article Link

Year:

2024

Tomorrow’s patient management: LLMs empowered by external tools

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Year:

2024

Side effects of low-dose tamoxifen

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Year:

2023

Detection of perineural invasion in prostate needle biopsies with deep neural networks

Article Link

Year:

2022

Mortality in men with castration‐resistant prostate cancer—A long‐term follow‐up of a population‐based real‐world cohort

Article Link

Year:

2022

Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks

Article Link

Year:

2022

Impact of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice

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Year:

2022

Progression on active surveillance for prostate cancer in Black men: a systematic review and meta-analysis

Article Link

Year:

2022

Clinical trial design during and beyond the pandemic: the I-SPY COVID trial

Article Link

Year:

2022

The emerging role of artificial intelligence in the reporting of prostate pathology

Article Link

Year:

2021

Biomarker discrimination and calibration with MRI-targeted biopsies: an analysis with the Stockholm3 test

Article Link

Year:

2021

Incorporating Magnetic Resonance Imaging and Biomarkers in Active Surveillance Protocols - Results From the Prospective Stockholm3 Active Surveillance Trial (STHLM3AS)

Article Link

Year:

2021

Collaborators15

Anna Lantz

Karolinska University Hospital

SWEDEN

Hari Vigneswaran

Karolinska Institutet

SWEDEN

Lars Björnebo

Karolinska Institutet

SWEDEN

Signe Borgquist

Aarhus University

DENMARK

Pekka Ruusuvuori

Institute for Systems Biology

UNITED STATES

Jan Adolfsson

Karolinska Institutet

SWEDEN

Johan Lindberg

Karolinska University Hospital

SWEDEN

Kimmo Kartasalo

Karolinska Institutet

SWEDEN

Mark Clements

Karolinska Institutet

SWEDEN

Philip Yang

Assistant Professor

Emory University

UNITED STATES

Peter Ström

Karolinska Institutet

SWEDEN

Tobias Nordström

Karolinska Institutet

SWEDEN

Rebecca Hubbard

Professor, Clinician-Educator

University of Pennsylvania

UNITED STATES

Fady A Youssef

University of California, Irvine

UNITED STATES

Hans Garmo

King’s College London

UNITED KINGDOM

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