Lab functions P4 system Wearable

Based on these orientations, the core research topics of our lab focus on developing framework for the diagnosis and treatment of personalized predictive of disorders in the emerging point-of-care (POC) clinical contexts. Such an framework are progressed in three consequence directions:

1) Point on care devices for bio-signal monitoring

2) Predictive analytics methods for real-time and personalized diagnosis and prediction of impending disorder episodes

3) Preventive treatment and intervention

One of the most common goals in healthcare for the next decade is the transformation from reactive damage control to proactive and personalized wellness. A new P4 medicine -Prediction, Prevention, Personalization, and Participation- based on integrating the concepts of a systems approach to diseases, emerging technologies, and advanced analytical tools, provides a personal basis for healthcare delivery to maximize wellness for each individual rather than treating diseases. It has been shown in the last 5 years that P4 system has significantly improved the way cancer is diagnosed and treated. The realization of the P4 system in healthcare enables early personalized diagnosis, real-time prognosis, especially for at-risk (e.g., critical care) populations, which can significantly lower treatment cost and reduce mortality and morbidity risks.

Big data and advanced biosensors has driven the transforming in health studies from the population-based healthcare to personalized wellness paradigm. Such trend has accelerated the use of wearable monitoring systems integrated with advanced data analytic methods to support physician to provide better diagnosis and treatment. Hence, the testing and benchmarking the performance of the devices/ system or analytics methods for clinical applications has become required procedure. Towards this direction, the clinical engineering lab is devoted for research from in vitro settings (on simulated model) to in vivo settings (online databases) and on human subjects. The purposes are to: assess the performance of the designed biomedical system or healthcare informatics methods under different operating settings, benchmark the performance of the proposed research with well-established ground truths or approved clinical procedures, and conducting extensive clinical trial with the consultant from clinical experts.


At SENSE we focus on the following 3 research directions

Diagnosis technique

Making wearable devices to monitor and diagnose diseases

  • Basic electronic system
  • Design hardware
  • Develop application
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Predictive analysis

Developing algorithm to describe disease's dynamical processes

  • Data mining
  • Machine learning
  • Time series analysis
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Preventive treatment

Provide therapeutic treatment before the clinical symptoms occure

  • Disease physiology
  • Basic medicine
  • Therapeutic technique
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We would love to see you at our Lab!
Room A1.513 Clinical Lab
International University - VNU

Đông Hòa, Hồ Chí Minh, Bình Dương, Việt Nam

+84 915 538 938
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