Marko Henrik Björn

ORCID: 0000-0001-8590-3863
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About
Contact & Profiles
Research Areas
  • Biomedical and Engineering Education
  • AI in Service Interactions
  • Neuroscience, Education and Cognitive Function
  • Educational Leadership and Innovation
  • Educational Games and Gamification
  • Engineering Education and Technology
  • Social Media in Health Education
  • Robotics and Automated Systems
  • Gaze Tracking and Assistive Technology
  • CRISPR and Genetic Engineering
  • EEG and Brain-Computer Interfaces
  • Virus-based gene therapy research
  • CAR-T cell therapy research
  • Innovative Teaching and Learning Methods
  • Learning Styles and Cognitive Differences
  • Adult and Continuing Education Topics

Häme University of Applied Sciences
2023

University of Eastern Finland
2008-2021

Turku University of Applied Sciences
2018-2021

Institute for Molecular Science
2008

Abstract Oncolytic viruses are a promising tool for treatment of cancer. We studied an oncolytic Semliki Forest virus (SFV) vector, VA7, carrying the enhanced green fluorescent protein gene (EGFP), as novel virotherapy candidate against unresectable osteosarcoma. The efficiency and characteristics VA7-EGFP were compared with widely adenovirus, Ad5Δ24, both in vitro vivo. resulted more rapid oncolysis was efficient at low multiplicities infection (MOI) when Ad5Δ24 vitro. Yet, MG-63 cells,...

10.1158/0008-5472.can-08-0251 article EN Cancer Research 2008-10-15

Studies for placing electroencephalograph (EEG) electrodes on a human head are typically under-resourced, resulting in lengthy periods between training sessions where students not exposed to practical EEG learning content. We propose digital application that provides 3D model of which learners can practice electrodes. Our system both fuzzy and exact feedback regarding their placement accuracy. set out test these two systems preferred by asking group 19 use the three-week period while...

10.1109/coginfocom.2018.8639910 article EN 2018-08-01

Virtual simulation is the re-creation of reality depicted on a computer screen. It offers possibility to exercise motor and psychomotor skills. In biomedical medical education, there an attempt find new ways support students' learning in neurophysiology. Traditionally, recording electroencephalography (EEG) has been learned through practical hands-on exercises. To date, virtual simulations EEG measurements have not used.

10.2196/18768 article EN cc-by JMIR Serious Games 2020-11-11

Methods based on simulation pedagogy are widely used to practice hands-on skills in safety environment. The usability of an EEG simulator clinical neurophysiology course was evaluated. Second-year biomedical laboratory science students (N = 35) this were included the study. They divided into three groups. Two groups with different feedback modes and one group did not use simulator. Results expected reveal a correlation between user experience learning outcomes. This study made mixed method...

10.3390/educsci11070328 article EN cc-by Education Sciences 2021-07-01

<sec> <title>BACKGROUND</title> Virtual simulation is the re-creation of reality depicted on a computer screen. It offers possibility to exercise motor and psychomotor skills. In biomedical medical education, there an attempt find new ways support students’ learning in neurophysiology. Traditionally, recording electroencephalography (EEG) has been learned through practical hands-on exercises. To date, virtual simulations EEG measurements have not used. </sec> <title>OBJECTIVE</title> This...

10.2196/preprints.18768 preprint EN 2020-03-18

Methods based on simulation pedagogy are widely used to practice hands skills in safety environment. The usability of an EEG-simulator clinical neurophysiology course was evaluated. Second year biomedical laboratory science students (N=35) this included the study. They were divided into three groups. Two groups EEG simulator with different feedback modes and one group without use simulator. Results expected reveal a correlation between user experience learning outcomes. This study made mixed...

10.20944/preprints202104.0723.v1 preprint EN 2021-04-27
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