Jussi Ekström

Engineering · Physical Sciences

15h-index585citations50works1.52yr avg
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Research Topics

Smart Grid Energy Management(10), Energy Load and Power Forecasting(10), Colorectal Cancer Treatments and Studies(10), Integrated Energy Systems Optimization(9), Cancer Immunotherapy and Biomarkers(8)

Publications50 total

Development of a Comprehensive Decision Support Tool for Chemotherapy-Cycle Prescribing: Initial Usability Study
JMIR Formative Research·2025Open Access
Electronic patient-reported outcomes, fever management, and symptom prediction among patients with BRAF V600 mutant stage III–IV melanoma: The Kaiku Health platform
EJC Skin Cancer·2024· 3 citedOpen Access
A comprehensive decision support tool for chemotherapy cycle prescribing: a feasibility study
Research Square (Research Square)·2023Open Access
ePRO symptom follow-up of colorectal cancer patients receiving oxaliplatin-based adjuvant chemotherapy is feasible and enhances the quality of patient care: a prospective multicenter study
Journal of Cancer Research and Clinical Oncology·2023· 5 citedOpen Access
ePRO Symptom Follow-Up of Colorectal Cancer Patients Receiving Oxaliplatin-Based Adjuvant Chemotherapy is Feasible and Enhances the Quality of Patient Care: a prospective multicenter study
Research Square (Research Square)·2022Open Access
Digital patient-reported outcomes and serological response to SARS-COV-2 vaccines in patients with cancer.
Journal of Clinical Oncology·2022
Modelling treatment benefit for bexmarilimab (an anti-Clever-1 antibody and a novel macrophage reprogrammer) using phase I/II first-in-man trial data.
Journal of Clinical Oncology·2022
Predicting Objective Response Rate (ORR) in Immune Checkpoint Inhibitor (ICI) Therapies with Machine Learning (ML) by Combining Clinical and Patient-Reported Data
Applied Sciences·2022· 7 citedOpen Access
PD-0924 Machine learning (ML) for predicting patient-reported symptoms during breast and prostate RT
Radiotherapy and Oncology·2021
Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies
BMC Medical Informatics and Decision Making·2021· 38 citedOpen Access
Modelling treatment benefit for bexmarilimab (an anti-Clever-1 antibody and a novel macrophage checkpoint inhibitor) using phase I first-in-man trial data.
Journal of Clinical Oncology·2021· 2 cited
Electronic Patient-Reported Outcomes and Machine Learning in Predicting Immune-Related Adverse Events of Immune Checkpoint Inhibitor Therapies
Research Square (Research Square)·2021· 2 citedOpen Access
PD-0538: Rectal cancer: world-wide use of radiotherapy and the importance of more strict lymph node staging
Radiotherapy and Oncology·2020
Follow-Up of Cancer Patients Receiving Anti-PD-(L)1 Therapy Using an Electronic Patient-Reported Outcomes Tool (KISS): Prospective Feasibility Cohort Study
JMIR Formative Research·2020· 32 citedOpen Access
1876P A combination model of electronic patient-reported outcomes (ePROs) and lab measurements in prediction of immune related adverse events (irAEs) and treatment response of immune checkpoint inhibitor (ICI) therapies
Annals of Oncology·2020· 1 cited
1841P Predicting the onset of immune-related adverse events (irAEs) in immune checkpoint inhibitor (ICI) therapies using a machine learning (ML) model trained with electronic patient-reported outcomes (ePROs) and lab measurements
Annals of Oncology·2020· 2 cited
Electronic patient-reported outcomes (ePROs) and machine learning (ML) in predicting the presence and onset of immune-related adverse events (irAEs) of immune checkpoint inhibitor (ICI) therapies.
Journal of Clinical Oncology·2020· 1 cited
A machine learning approach to modelling escalator demand response
Engineering Applications of Artificial Intelligence·2020· 18 citedOpen Access
Follow-Up of Cancer Patients Receiving Anti-PD-(L)1 Therapy Using an Electronic Patient-Reported Outcomes Tool (KISS): Prospective Feasibility Cohort Study (Preprint)
2020Open Access
Predicting Onset and Continuity of Patient-Reported Symptoms in Patients Receiving Immune Checkpoint Inhibitor (ICI) Therapies Using Machine Learning
Archives of Clinical and Medical Case Reports·2020· 4 citedOpen Access
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Frequent Co-authors

Matti Lehtonen(18), Jussi Koivunen(17), Matti Koivisto(16), Henri Virtanen(16), Sanna Iivanainen(14), Vesa Kataja(13), Robert John Millar(12), Ilkka Mellin(9), Eero Saarijärvi(6), Santeri Mentu(5), Mubbashir Ali(4), Janne Seppänen(4), Liisa Haarla(4), Merkebu Z. Degefa(4), Reetta Arokoski(4), Tuomo Alanko(3), Teemu Konkola(3), Antti Alahäivälä(3), Ville Olkkonen(3), Sanna Syri(3)