Zobrazeno 1 - 10 of 27 pro vyhledávání: '"Henri Virtanen"'
1
Akademický článek
Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies
Autor: Sanna Iivanainen, Jussi Ekstrom, Henri Virtanen, Vesa V. Kataja, Jussi P. Koivunen
Publikováno v: BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background Immune-checkpoint inhibitors (ICIs) have introduced novel immune-related adverse events (irAEs), arising from various organ systems without strong timely dependency on therapy dosing. Early detection of irAEs could result in impro
Externí odkaz: https://doaj.org/article/bbc616ea2edc46f6bd8e030ee67dcf98
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2
Akademický článek
Predicting Objective Response Rate (ORR) in Immune Checkpoint Inhibitor (ICI) Therapies with Machine Learning (ML) by Combining Clinical and Patient-Reported Data
Autor: Sanna Iivanainen, Jussi Ekström, Henri Virtanen, Vesa V. Kataja, Jussi P. Koivunen
Publikováno v: Applied Sciences, Vol 12, Iss 3, p 1563 (2022)
ICIs are a standard of care in several malignancies; however, according to overall response rate (ORR), only a subset of eligible patients benefits from ICIs. Thus, an ability to predict ORR could enable more rational use. In this study a ML-based OR
Externí odkaz: https://doaj.org/article/b9e2d29ab44e452a97a21fc93801a593
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3
Akademický článek
Production of alkanes from CO2 by engineered bacteria
Autor: Tapio Lehtinen, Henri Virtanen, Suvi Santala, Ville Santala
Publikováno v: Biotechnology for Biofuels, Vol 11, Iss 1, Pp 1-11 (2018)
Abstract Background Microbial biosynthesis of alkanes is considered a promising method for the sustainable production of drop-in fuels and chemicals. Carbon dioxide would be an ideal carbon source for these production systems, but efficient productio
Externí odkaz: https://doaj.org/article/492b553226034a428f5cffdd50da551f
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4
A comprehensive decision support tool for chemotherapy cycle prescribing: a feasibility study
Autor: Sanna Iivanainen, Reetta Arokoski, Santeri Mentu, Laura Lang, Jussi Ekström, Henri Virtanen, Vesa Kataja, Jussi Pekka Koivunen
Background Chemotherapy cycle prescription is generally carried out through a manual process. ICT tools with data analytics could streamline this process and limit human errors. Methods A one-arm multicenter prospective clinical trial ECHO 7/2019-1/2
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f4795c9d63b11225198a416eb889d2ed
https://doi.org/10.21203/rs.3.rs-2740855/v1
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6
Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies
Autor: Henri Virtanen, Sanna Iivanainen, Vesa V. Kataja, Jussi Ekström, Jussi Koivunen
Publikováno v: BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-8 (2021)
Background Immune-checkpoint inhibitors (ICIs) have introduced novel immune-related adverse events (irAEs), arising from various organ systems without strong timely dependency on therapy dosing. Early detection of irAEs could result in improved toxic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a82d64a9617f6bb8a95276e5df4d0c65
http://europepmc.org/articles/PMC8243435
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7
Follow-Up of Cancer Patients Receiving Anti-PD-(L)1 Therapy Using an Electronic Patient-Reported Outcomes Tool (KISS): Prospective Feasibility Cohort Study (Preprint)
Autor: Sanna Iivanainen, Tuomo Alanko, Pia Vihinen, Teemu Konkola, Jussi Ekstrom, Henri Virtanen, Jussi Koivunen
BACKGROUND Immune checkpoint inhibitors (ICIs) have become a standard of care for various tumor types. Their unique spectrum of side effects demands continuous and long-lasting assessment of symptoms. Electronic patient-reported outcome (ePRO) follow
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dbbae88150a962f20857fc7d5ed0b502
https://doi.org/10.2196/preprints.17898
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9
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
Autor: Vesa Kataja, Jussi Koivunen, Henri Virtanen, Jussi Ekström, Sanna Iivanainen
Publikováno v: Journal of Clinical Oncology. 38:e14058-e14058
e14058 Background: ICIs have introduced novel irAEs, arising from various organ systems without strong timely dependency on initiation and discontinuation of the therapy. Early detection of the irAEs could result in improved safety profile of the tre
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b287a66be71ea905f4483eb1e18b2cb
https://doi.org/10.1200/jco.2020.38.15_suppl.e14058
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10
ePROs in the follow-up of cancer patients treated with immune checkpoint inhibitors: a retrospective study
Autor: Henri Virtanen, Sanna Iivanainen, Teemu Konkola, K. Peltola, Jussi Koivunen, Jussi Ekström, Tuomo Alanko
Publikováno v: Journal of Cancer Research and Clinical Oncology
Purpose: Patient-reported outcome (PRO) follow-up has been shown to improve quality of life (QoL) and survival of cancer patients receiving chemotherapy. Kaiku Health application is a web-based electronic PRO (ePRO) tool which is designed for follow-
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::086ce28a2d8fc40dc91b5d99ef88e31a
https://pubmed.ncbi.nlm.nih.gov/30666409
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