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Masterclass in Digital Health Technology Innovation Lab

Healthcare systems worldwide are undergoing rapid digital transformation driven by artificial intelligence, health data platforms, wearable technologies and new care delivery models.

This masterclass equips professionals with the strategic, technological and entrepreneurial capabilities required to lead digital health innovation.

Participants learn how to analyse digital health ecosystems, evaluate emerging technologies and design practical solutions addressing real-world healthcare challenges.

Key Learning Outcomes

Analyse digital health ecosystems and identify key stakeholders including healthcare providers, insurers, regulators, investors and technology platforms.

Evaluate digital health business models, including AI diagnostics, telemedicine platforms, digital therapeutics and wearable health technologies.

Translate health data into strategic insights, understanding how AI, data analytics and machine learning create clinical and commercial value.

Design and pitch digital health innovation concepts, applying consulting-style problem solving and structured communication.

Assess regulatory, ethical and reimbursement challenges in global digital health markets.

Develop cross-sector collaboration strategies between healthcare, biotech, insurance and technology companies.

Who Should Attend

This programme is designed for professionals working at the intersection of healthcare, technology and innovation, including:

Healthcare executives and digital transformation leaders
Professionals in med-tech, biotech and pharmaceuticals
Health insurance and healthcare strategy professionals
Entrepreneurs and intrapreneurs exploring digital health innovation
Consultants working in healthcare or technology strategy

No advanced technical background is required.

Possible Career Pathways

Professionals who completed the masterclass typically work in:

Digital health innovation teams
Healthcare transformation and strategy roles
Med-tech and biotech product development
Health data analytics and AI strategy
Venture capital and health-tech investment
Consulting and innovation advisory

Schedule

Module	Date
Foundation Workshop Two days of intensive in-person training introducing the digital health innovation landscape, core frameworks and team project challenges.	18 – 19 April 2026
Remote Expert Sessions Nine weekly online sessions with international experts covering topics such as AI in healthcare, digital therapeutics, health data platforms, biotech innovation and healthcare venture capital.	20 April – 26 July 2026
Innovation Project & Grand Finale Participants work in interdisciplinary teams to develop a digital health innovation concept and present it in a professional pitch format to an expert panel.	26 – 27 July 2026

Speakers

Prof Dr Manuel Spitschan

Assistant Professor of Chronobiology & Health, TUM School of Medicine and Health

Prof. Spitschan’s research focuses on the effects of light on human physiology and behaviour, with particular emphasis on the biological clock, circadian rhythms, and sleep. He combines chronobiological assessments with cutting-edge methods for measuring, characterising, and generating light stimuli in both laboratory and field settings. His expertise spans chronobiology, light-exposure measurement, sleep research, behavioural science, and translational research bridging lab mechanisms with real-world health outcomes.

Mr André Andonian

Senior Partner Emeritus, McKinsey & Company Chair APAC Flagship Pioneering

André Andonian brings over three decades of experience advising companies globally on strategic, operational, and organisational topics. During 34 years at McKinsey & Company he served as Managing Partner of Korea, Global Leader of Advanced Industries Sector, and was a long-term member of the firm’s global board. He is Lead Faculty for Board and CEO Effectiveness at The Marketing Academy and is rated among the top ten mentors at the Singapore Mentorship Committee. His expertise includes strategy and operations consulting, corporate transformation, talent development, and Asia-Pacific market leadership.

He is currently the Chair of APAC Flagship Pioneering and a Board member of multiple public and private companies in biotech, agtech, semiconductors and AI.

Ms Laura Hainke, MSc

Neurotechnology Researcher & Lecturer, TUM School of Medicine and Health

Laura Hainke works at the intersection of neurotechnology research and innovation. She holds a B.Sc. and M.Sc. in Psychology and Cognitive Neuroscience from LMU Munich and previously worked as a doctoral researcher at the TUM School of Medicine and Health, where she investigated applications of non-invasive brain stimulation in health and disease. Her research focuses on the measurement and modulation of brain activity, particularly in relation to sleep and neurological conditions.

She currently teaches at the Technical University of Munich and supports research and development at international neurotechnology start-ups. Her expertise includes electrophysiological measurement of brain activity, neural stimulation methods, the psychology of health and disease, and translational neuroscience.

Dr Resshaya Roobini Murukesu

Research Fellow, TUMCREATE
Health Promotion & Digital Health Innovation

Dr. Resshaya Roobini Murukesu works at the intersection of health promotion, preventive medicine, and digital health innovation, with a focus on healthy ageing. She has a background in Physiotherapy and holds a Master’s and PhD in Health Sciences from the National University of Malaysia. She is currently a Research Fellow at TUMCREATE in Singapore, contributing to the LightSPAN project, which explores digital health interventions to optimise environmental light exposure for older adults.

Her work focuses on developing lifestyle-based interventions to improve health span and resilience in ageing populations. Her expertise includes health promotion and preventive medicine, behaviour change strategies for digital health interventions, and translational research connecting scientific evidence with real-world health applications.

Fees

The fee for each participant per module is SGD 2,725 (GST inclusive).

Registration closes one week prior to the module start date. Payment must be completed before the module begins.

Preferential Pricing

For a limited time, TUM Asia offers preferential pricing for multiple module or group sign-ups*:

2 modules: 10% discount
3 modules: 15% discount
4 or more modules: 20% discount

*Companies can combine module choices for group discounts. For instance, if two employees from the same organisation each sign up for 2 modules (totaling 4), a 20% discount applies. Discounts are valid only if all modules are paid for together in a single invoice. Contact us to learn more.

Alumni Course Credits

TUM and TUM Asia alumni can apply their alumni course credits of SGD 1,500 to cover up to 50% of the module fees. Terms and conditions apply.