Tampere University

Tampere University (TAU), Finland’s second-largest university, serves over 21,500 students with a staff of 4,000 across various disciplines. As a multidisciplinary foundation-based institution, it excels in technological, health, and societal research. The Faculty of Medicine and Health Technology at the university unites exceptional research capabilities in medicine, biosciences, and technology, dedicated to advancing knowledge and developing solutions that enhance health and wellbeing.

Role in the project

As the Coordinator of SMASH-HCM, TAU leads WP1 Management and coordination while actively taking part in all other WPs. Moreover, TAU focuses on implementing and deploying digital twin-based decision support solution for HCM management (via leading WP7) and demonstrating that the digital twin software enhances patient stratification for improved prognosis and treatment of HCM and related conditions (via lead of WP8: Clinical, patient, and societal uptake of the Digital Twin system).

Colleagues working on the project

tuni jari hyttinen

Jari Hyttinen

Professor, PhD

PhD Jari Hyttinen, Full Professor at the Faculty of Medicine and Health Technology at Tampere University, Finland, has over 25 years of experience in developing biosignal measurement and analysis, especially computer modeling of physiological and biological systems. He has been a visiting researcher at the University of Pennsylvania, the University of Tasmania, and Duke University, and a visiting professor at the University of Wollongong in 2017 and ETH Zurich in 2018. He has served as, e.g., President of the European Alliance on Medical and Biological Engineering Sciences (EAMBES) from 2015 to 2017 and Chair of the EAMBES Fellows from 2017 to 2020. During his career, he has coordinated several large domestic and international research projects and has also been involved in innovations, commercialization, and start-ups. Professor Hyttinen’s laboratory develops novel computer simulations (in-silico) on cellular biophysics, body-on-chip technologies, and in-vitro 3D imaging methods for future personalized medicine. His laboratory has produced over 300 scientific journal papers and several patents.

tuni mark van gils

Mark van Gils

Professor

Mark van Gils is Professor of Digital Healthcare, leading the research group Decision Support for Health, at the Faculty of Medicine and Health Technology at Tampere University. His over 25-year career in health data analysis has developed from AI-driven patient monitoring research during the 1990’s to a wide scope of research and research leadership activities (including Research Professorship) in the area of digital health at VTT Technical Research Centre of Finland, and in an Adjunct Professorship at Aalto University in Espoo, Finland. During his career, he has worked tightly with renowned university hospitals and health tech companies, and he has obtained extensive experience in coordinating multi-disciplinary international research projects (co-ordinator of 2 FP7 projects and 1 EU PerMed project). He has co-authored over 200 research papers.

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Pedro A. Moreno-Sánchez

Postdoctoral Research Fellow

Pedro A. Moreno-Sánchez  received the B.S. degree in telecommunication engineering, the M.S. degree in telemedicine and bioengineering, and the Ph.D. degree in biomedical engineering from the Technical University of Madrid, in 2007, 2008, and 2014, respectively. Since 2022, he has been a Postdoctoral Research Fellow with Tampere University, Finland. His research interests include digital health and in the application of artificial intelligence and machine learning to develop clinical prediction models. Currently, his research area is centered in explainable and trustworthy AI in healthcare.

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Mohamadamin Forouzandehmehr

Postdoctoral researcher,
ScD in Biomedical Eng.,
MS in Mechanical Eng.

Dr. Amin Forouzandehmehr is a researcher at the Faculty of Medicine and Health Technology of Tampere University. His top fields of expertise include Biomedical Engineering, Systems Biology, Mechanical Engineering, Biomathematics, Simulation, and Optimization. He is actively engaged in studies concerning mathematical modeling of cardiac electro-mechano-energetic coupling at the cellular level in control and diseased conditions, including mutation-specific hypertrophic cardiomyopathy and ischemia.

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Nicole Anderton

Postdoctoral researcher, D.Sc. (Biomedical Engineering),
M.Sc. (Electrical Engineering)

I am a recently graduated postdoctoral research fellow, currently working in the Medicine and Health Technology faculty at Tampere University. While my current field is computational biophysics, I have a diverse background. My DSc centred around the field of medical ultrasound and predicting the behaviour of contrast agents under varying ultrasound conditions. I have previous project experience in EEG signal processing, as well as in data management and acquisition in industry.

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Antti Ahola

Postdoctoral research fellow,
D.Sc. (Tech)

I am a postdoctoral research fellow working on non-invasive, computational analysis methods of cardiac myocytes.

Technical coordinator of the EU-funded SMASH-HCM project.

Fields of expertise: Quantification of biomedical images and videos, data analysis, machine learning

Main positions of trust: Chair of Postdoc Community in Faculty of Medicine and Health Technology

Mission statement: Improving in vitro cell culture analysis methods for non-invasive and label-free analysis and continuous monitoring.

Research topics: Quantification of cardiomyocyte contractility; Brightfield microscopy -based methods for structural and functional assessments; Deep learning-based image assays

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Jussi Koivumäki

University Lecturer, PhD, adjunct professor (title of docent)

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Joona Valtonen

M.Sc. Drug Discovery and Development

PhD Candidate in Cell and Tissue Technology

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Ossi Noita

M.Sc, Doctoral Student

I started my doctoral studies full time in January 2024. Before that, I worked as senior software developer for image denoising company.

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Kati Auranen

Research Assistant/ Faculty of Medicine and Health Technology, Student/ Master's Programme in Computer Science, M.Sc in Administrative Sciences

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Nabid, Faiem

Doctoral Researcher, M.Sc (Tech) in Biomedical Engineering

Nabid Faiem is a doctoral researcher in the Decision Support for Health Group at Tampere University. His research interests focus on multi-modal health data analysis. Previously, he worked as a research assistant in the same group and worked as data and algorithm specialist in a different startup company.

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Antti Kallonen

Project Manager, Doctoral Researcher, M.Sc (Tech) in Software Engineering

Antti Kallonen is a Project Manager within the Decision Support for Health research group at Tampere University. He has extensive background in the development of safety-critical software systems in the industry, complemented by a broad understanding of various artificial intelligence methods. His expertise spans from exploratory analytics to multimodal deep learning. Antti has applied AI models and solutions within hospital settings, with his primary research focus on the application of AI in the critical care medicine.

Annariina Koivu TAU

Annariina Koivu

Project Manager, PhD in Global Health, M.Sc in Global Health and Public Policy.



Annariina Koivu works as SMASH-HCM Project Manager at Research and Innovation Services in Tampere University. She has extensive background in global health and health information systems, coupled with project management training.