Projects - Smarthealthcenter

Smart Indoor Air Quality Control System for Healthier and Greener Buildings

Principal Investigators & Key Members:

The quality of the indoor environment has a critical impact on people’s health because on average, we spend more than 90% of our time indoors. Providing a healthy and safe indoor environment can save lives, reduce diseases, and increase our quality of life. Better management of indoor environmental quality and saving energy consumption at the same time is of critical national and international significance. This project aims at building a virtual platform that offers interactive interfaces for infection control and facility managers to make informed and optimal intervention strategies as per different intended uses of the multi-used indoor environments.

VAIPE: AI-assisted IoT-enabled smart, optimal, and Protective hEalthcare monitoring and supporting system for Vietnamese

Principal Investigators & Key Members:

Minh Do | Pham Huy Hieu, PhD | Thanh Hung Nguyen | Phi Le Nguyen

The VAIPE project aims to develop a smartphone application that uses the camera and novel AI and visual recognition methods to allow the user to easily digitalize and analyze health records, including doctor’s diagnostics and prescription, daily in-take medication, and readings of medical devices at home. The ultimate goal is to provide ordinary citizens with easy access to timely, reliable, usable, and personalized information and intelligence about their health.

Point of Care and Telehealth Diagnostics for Data-Driven Smart Health Systems

Principal Investigators & Key Members:

Brian Cunningham | Xing Wang | Quynh Le | Thanh Ngoc Tien | Cuong Do Danh

This project aims to assemble a multidisciplinary collaboration with the goal of developing, demonstrating, and characterizing point of care and self-testing diagnostic technologies that take advantage of the unique properties of photonic metamaterials, MEMS sensors, and molecular biology methods using engineered nucleic acid probes. Our project will pave the way toward a substantially more robust and high-quality collection of biomarker data that, when integrated with a telehealth service system, will form the basis of mass-market products and services for health management.

Development of Point-Of-Care Devices to Predict Dengue Infection Status and to Detect Sepsis Biomarkers Principal

Principal Investigators & Key Members:

Rashid Bashir | Andrew Taylor-Robinson | Minh Do | Phung Nam Lam

Develop point-of-care microfluidic approaches to detect multiple dengue or sepsis biomarkers (nucleic acids, cells, and proteins) from the same sample of whole blood. POC testing of these dengue and sepsis biomarkers could accelerate the clinical decision for early detection of dengue and sepsis, respectively. Importantly, the project plans to demonstrate approaches as global health solutions to make our technologies achievable to historically underserved populations in Vietnam and other low-income countries by reducing the existing gaps of required infrastructure and high cost.