SmokeFreeBrain targeted anti-smoking prevention measures and CrowdHEALTH supported collective-evidence public health policy making.
TAIPEI MEDICAL UNIVERSITY FOUNDATION*TMU
Taiwanese medical university contributing clinical expertise and Asian patient data to EU health consortia on prevention, public health policy, and AI-driven personalised care.
Their core work
Taipei Medical University (TMU) is a Taiwan-based medical teaching and research university with affiliated hospitals, active in clinical medicine, biomedical research, and public health. In H2020 it joined European consortia as a non-EU partner contributing clinical expertise, access to Asian patient cohorts, and health data analytics to projects on smoking prevention, public health policy, and AI-based personalised health monitoring. Their value to European partners is an Asia-Pacific clinical and epidemiological perspective, particularly on cancer and non-communicable disease research.
What they specialise in
iHELP (2021-2024) focuses on artificial intelligence and decision support for personalised health monitoring.
iHELP explicitly lists cancer research and decision support among its keywords, reflecting TMU's clinical oncology involvement.
CrowdHEALTH aggregates population health data for policy; iHELP builds AI decision support on heterogeneous health data.
SmokeFreeBrain developed multidisciplinary tools to improve the effectiveness of smoking cessation and prevention.
How they've shifted over time
In the first half of their H2020 track (2015-2018) TMU worked on behavioural prevention and population-level public health, through SmokeFreeBrain and the launch of CrowdHEALTH. In the second half (2019-2024) the focus shifts clearly toward AI-driven clinical decision support, personalised monitoring, and cancer research under iHELP. The trajectory moves from public-health prevention campaigns toward individualised, data-driven clinical care powered by machine learning.
TMU is moving from population-level prevention studies toward AI and decision-support tools for personalised medicine, making them a relevant partner for future clinical-AI and oncology data collaborations.
How they like to work
TMU consistently joins large European consortia as a participant rather than coordinator, contributing as a non-EU clinical partner on Research and Innovation Actions. Across three projects they worked with 45 distinct partners in 13 countries, indicating a hub-style network with broad reach rather than a repeat circle of collaborators. They are comfortable in large, multidisciplinary teams where clinical validation and Asian patient data are needed.
Collaborated with 45 unique partners across 13 countries over three projects, spanning European health research consortia and bringing in an Asia-Pacific node. No single country dominates — their network is diffuse across the EU with Taiwan as an extra-European anchor.
What sets them apart
TMU is one of the few Taiwan-based universities consistently embedded in H2020 health consortia, giving European partners direct access to Asian clinical populations, hospital networks, and regulatory context. Unlike many EU medical schools, they bridge a different healthcare system and epidemiological profile, which is particularly valuable for cancer and non-communicable disease studies. They are a consistent participant across three sequential health projects spanning 2015-2024, showing durable engagement rather than a one-off collaboration.
Highlights from their portfolio
- iHELPTheir most recent and forward-looking project, combining AI, personalised monitoring, and cancer research — reflecting where TMU is heading.
- CrowdHEALTHPositioned TMU inside European public health policy research, using collective health data to inform decision-making across countries.
- SmokeFreeBrainTheir entry project into H2020, focused on multidisciplinary smoking prevention — a clear behavioural and public-health contribution.