The Technical University of Munich Asia (TUM Asia) has partnered the German Academic Exchange Service (DAAD) to host a 1 Day Research Symposium in Singapore on the theme of “Emerging Trends & Challenges in Digital Healthcare” on 3 April 2018. This event is jointly supported by the Embassy of the Federal Republic of Germany.


The growth of digital healthcare has seen both promising and threatening shifts in healthcare practices accompanied with growing importance and sophistication of digital technologies such as electronic patient records, smart wearable devices and healthcare applications. New technological breakthroughs are changing the landscape in healthcare services. New scientific discoveries such as how blood cell functions can provide an array of untapped opportunities in the clinical routine and display suitable potential matches to present unmet clinical needs.


The push towards innovative healthcare is set to build on the strides that the nation has taken as part of its Smart Nation initiative. It is imperative that the tech industry and the healthcare profession needs to be more connected and involved than before and bridge the barriers that exists between the technology entrepreneurs, investors, developers, and practicing physicians.



Some of the topics featured in this Symposium include: 


  • Challenges of Digital Transformation in the Healthcare Industry
  • Discovering Disease Bio-markers Through Cell Microscopy
  • Emerging & Innovative Healthcare Solutions



Date & Time:
3rd April 2018
10:00AM – 04:00PM

(Lunch & Refreshments will be served.)


Technical University of Munich (TUM) Asia 

510 Dover Road
SIT@SP Building, Level 5
Singapore 139660




Who Should Attend:

  • CEOs, Directors, Senior Management Team from SMEs & MNCs
  • Organisations whose Business Model involves manufacturing, industrial automation, robotics, artificial intelligence
  • Representatives from emerging biotech clinical and research organisations
  • Technology Entrepreneurs
  • Academics, scientists, researchers and students
  • Representatives from Government agencies in Singapore



Please fill out the form below to register. For further enquiries, please contact:

TUM Asia, Office of Executive Development
+65 6777 7407



Registration is now closed. We look forward to meeting all participants at the symposium!

Session 1: “The German Research Landscape and Scholarships”

Ms. Claudia Finner
DAAD Information Centre Singapore


Session 2: “Fraunhofer in Singapore and Worldwide”

Dr. Marius Erdt
Deputy Director
Fraunhofer IDM@NTU


Session 3: “More than Blood” 

Prof. Dr. Oliver Hayden
Heinz-Nixdorf-Chair of Biomedical Electronics
Department of Electrical and Computer Engineering
Technical University of Munich (TUM)


Blood cells are rich on information. In fact, the complete blood count (CBC) is globally one of the most requested in vitro diagnostic test. However, blood cell function is usually a hidden biomarker in the clinical routine. In this keynote, Prof Hayden will discuss the opportunities that cell function can provide in the clinical routine and which technologies are potentially suitable to match unmet clinical needs.


Session 4: Personal Photometer “Photopette” and “Lab-in-a-Tip” for Rapid On-spot Measurements

A/Prof. Dieter Trau
Associate Head Research
Department of Biomedical Engineering and Department of Chemical & Biomolecular Engineering
National University of Singapore (NUS)


Photometric methods are universally used to measure concentrations of various analytes in liquid samples. Today, photometers are bench-top devices of significant bulk and cost; they require the use of cuvettes have a tedious workflow, need large sample volumes and risk sample contamination. We have developed the Photopette handheld personal photometer systems to revolutionize spectrophotometric analysis in life-sciences, environmental monitoring and point-of-care diagnostics. The Photopette is a handheld device and together with our Lab-in-a-Tip technology enables on the spot measurements of several analytes. The technology is now commercialized by the NUS spin-off company Tip Biosystems Pte Ltd.


About A/Prof. Dieter Trau 
Dr. Dieter Trau is an Associate Professor at the Department of Biomedical Engineering at the National University of Singapore (NUS). His main research field are biosensors and bioanalytical methods and devices. Dieter is also a serial-inventor entrepreneur. He started his entrepreneurial activities as a founder of a life-science company in 1995. In 2010 Dieter founded the “AyoxxA Group” in Singapore and Germany, now a 25 million EURO VC funded company. Followed by “Tip Biosystems Pte Ltd” that he founded in 2014 to commercialize a personal hand-held photometer termed “Photopette”. Dieter holds a PhD in Chemistry from the Hong Kong University of Science and Technology (HKUST). He is the author of >50 international peer-reviewed research papers and inventor of 17 patent families, resulting in ~100 patent applications of which >20 are granted and commercialized by various companies.


Session 5: Is digital health doing enough to disrupt the healthcare sector?

Dr. Vas Metupalle

Co-Founder & CIO
MyDoc Pte Ltd


The promise of digital health started with improving productivity within Hospitals, with electronic medical records, to now personalising and empowering decision making with patients. AI and analytics could help to enhance and scale this potential of digital health to the broader populations in the developing world where there is a scarcity of advanced medical training and care providers. So far, however, it seems to only be a data play. To move this giant industry, payor solutions, the Pharma industry, and government policies should be working in cohesion to empower digital health and provide a comprehensive change.


About MyDoc
Started in 2012, MyDoc has become one of Asia’s top digital healthcare companies with the goal to create an efficient and effective healthcare ecosystem for patients and doctors. MyDoc offers simple, easy-to-use and time-saving services for convenient and easily accessible healthcare. MyDoc believes the key to digital health is to integrate healthcare into one, easy-to-use platform. Headquartered in Singapore, MyDoc has built a comprehensive healthcare services network across Asia that connects organisations, governments and patients to doctors, pharmacies, insurers and laboratories. Working with our partners in Singapore, Malaysia, Sri Lanka, and other markets, MyDoc has developed a modular, easy-to-deploy solution that can be quickly tailored to solving your healthcare needs and engaging your customers in a meaningful and effective manner.


Session 6: Machine Assisted Image Based Diagnosis of Cancers

Dr. Lee Hwee Kuan

Head of Division, Bioinformatics Institute
Agency for Science, Technology and Research (A*STAR)


Recent success in Machine Learning and Deep Learning has attracted a lot of interest in its applications for cancer diagnosis. This seminar will present a suite of methodologies developed for image based computer assisted diagnosis of cancers. In particular, I will present a case study that correlates survival of Renal Cancer patients with computer predictions of cancer severity based on the Furhman grading system.


About Dr. Lee Hwee Kwan
Lee Hwee Kuan is the Head of the Imaging Informatics division in Bioinformatics Institute. Hwee Kuan also holds multiple concurrent positions as Principal Data Scientist in the Government Technology Agency of Singapore, Adjunct Associate Professorship in National University of Singapore and Principal Scientist position in the Singapore Eye Research Institute. His research involves using advanced computer vision, machine learning and mathematical models to build better machines; for the improvement of health care and discovery of biological knowledge. Hwee Kuan obtained his Ph.D. in Theoretical Physics from Carnegie Mellon University. He then held several postdoctoral positions in Oak Ridge National Laboratory, University of Georgia and Tokyo Metropolitan University. In 2006, he joined Bioinformatics Institute as a Principal Investigator in the Imaging Informatics Division.

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German Institute of Science & Technology - TUM Asia Pte Ltd
CPE Reg. No. 200105229R | Registration Period 13.06.2017 - 12.06.2023

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