About us

The VinUni-Illinois Smart Health Center (VISHC) is a collaboration between VinUniversity (VinUni) and the Grainger College of Engineering at the University of Illinois at Urbana-Champaign (UIUC or Illinois). The center was established to conduct high-impact research on biomedical sensing, informatics, and their applications in smart healthcare. We aim at developing state-of-the-art sensing and digital technologies to provide widely accessible health monitoring and improvement for people all over the world.

Learn more about VinUni-Illinois Smart Health Center

  • Data Science

    Data Science

  • Artificial Intelligence

    Artificial Intelligence

  • Biomedical Sensing

    Biomedical Sensing

  • Telehealth

    Telehealth

Our Projects

Develop innovative solutions for health screening, diagnostic, intervention and follow-up care to serve global population

Detection and quantitation of cancer ctDNA and miRNA for point of care lung cancer therapy selection

Detection and quantitation of cancer ctDNA and miRNA for point of care lung cancer therapy selection

Principal Investigators & Key Members:
Brian Cunningham, PhD | Xing Wang, PhD | Nguyen Xuan Hung | Yi Hyeon Gyu | Tran Thi Mai
This project focuses specifically on rigorously demonstrating the performance of a novel assay approach called “Activate, Cleave, Capture, and Count” (AC3) for ultra-sensitive detection and quantification of several well-known mutations with clinical relevance for guiding initial therapy selection. We aim to design, demonstrate, and validate AC3 assays for KRAS mutations in lung, colorectal, and pancreatic cancers.
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Developing a unified, low-cost, self-care mobile health application for common disease screening and early detection in low-and middle-income countries

Developing a unified, low-cost, self-care mobile health application for common disease screening and early detection in low-and middle-income countries

Principal Investigators & Key Members:
Mark Hasegawa-Johnson | Minh Do | Hieu Pham | Dinh Nguyen | Huyen Nguyen | Vo Thanh Nhan | Ho Ngoc Minh | Nguyen Trung Nghia
This work aims to develop a low-cost, unified machine learning-based screening tool using multimodal signals collected from smartphones and wearable devices to evaluate the risk of presenting with common, high-demanding NCDs (stroke, chronic respiratory diseases, and neurodegenerative diseases) in low-and middle-income countries. This tool can be used at home or the point of care and opens up the opportunity to bring digital healthcare solutions to millions of people across countries.
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Envisioning Urban Environments Resilient to Vector-Borne Diseases: A One Health Approach to Dengue Management

Envisioning Urban Environments Resilient to Vector-Borne Diseases: A One Health Approach to Dengue Management

Principal Investigators & Key Members:
Praveen Kumar | Jinhui Yan | Lei Zhao | Brian Allan | Andrew Taylor-Robinson, PhD | Doan Mai Phuong | Khoa Doan | Le Duy Dung
This project aims to develop a comprehensive modeling framework to predict the risk of Dengue infection in Vietnam. We create digital twins of the urban environment, which receive sensor data for factors influencing Dengue transmissions, such as temperature, humidity, and CO2 concentration. Our model will predict infection risk levels in real-time and make corresponding public health recommendations for risk reduction.
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Evaluating the Effect of Antiviral Drugs using Polarized Light Imaging and Machine Learning Approaches: The Case of Human-induced Pluripotent Stem Cell-derived Cardiomyocytes

Evaluating the Effect of Antiviral Drugs using Polarized Light Imaging and Machine Learning Approaches: The Case of Human-induced Pluripotent Stem Cell-derived Cardiomyocytes

Principal Investigators & Key Members:
Stephen Boppart | Marina Marjanovic | Mark Anastasio | Tran Thi Mai | Nguyen Thi Nhung | Wray Buntine | Hieu Pham
In this project, we propose to develop a standard and robust procedure to evaluate the effectiveness of antiviral drugs using label-free, noninvasive light imaging, and machine learning-based approaches. To demonstrate this with a representative example, we will start with the evaluation of the effects of Molnupiravir, used for treating SAR-CoV- 2, on cardiomyocytes derived from a human-induced pluripotent stem cell. This project will then be extended to the evaluation of other antiviral drugs.
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Smart Indoor Air Quality Control System for Healthier and Greener Buildings

Smart Indoor Air Quality Control System for Healthier and Greener Buildings

Principal Investigators & Key Members:
Vishal Verma | Jinhui Yan | Le Duy Dung | Kok-Seng Wong, PhD | Andrew Taylor-Robinson, PhD
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.
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VAIPE: AI-assisted IoT-enabled smart, optimal, and Protective hEalthcare monitoring and supporting system for Vietnamese

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

Principal Investigators & Key Members:
Minh Do | Hieu Pham | 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.
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Privacy-Preserving, Robust, and Explainable Federated Learning Framework for Healthcare System

Privacy-Preserving, Robust, and Explainable Federated Learning Framework for Healthcare System

Principal Investigators & Key Members:
Bo Li | Kok-Seng Wong | Dam Thuy Trang | Luu Hong Nhung | Khoa Doan
The project focuses on designing a trustworthy federated learning (FL) framework for the healthcare system with theoretical guarantees for its privacy, robustness, and agent-level data valuation and explainability, aiming to make the healthcare systems more efficient and trustworthy.
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Wastewater Epidemiological Surveillance in Vietnam

Wastewater Epidemiological Surveillance in Vietnam

Principal Investigators & Key Members:
Helen Nguyen | Minh Do | Ahmed Elbanna | Andrew Taylor-Robinson | Maurizio Trevisan | Nguyen Xuan Hung | Le Cu Linh | Huynh Dinh Chien
The project aims to determine the prevalence of SARS-CoV2 in the selected communities. The project findings will give valuable insights into understanding the evolution of antimicrobial resistance in response to human behavior and community practices, and medical practices. The project will also develop a non-invasive, privacy-preserved tool for epidemiological surveillance for pathogen transmission in local communities.
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Point of Care and Telehealth Diagnostics for Data-Driven Smart Health Systems

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

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.
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Our people

At VISHC, we bring together the brightest interdisciplinarity minds to deliver our mission: develop state-of-the-art sensing and digital technologies to address the challenges and opportunities in modern healthcare systems. Our Faculty, Medical Experts, Research Fellows, PhD Students and Research Assistants are all working together to develop widely accessible tools for health monitoring, screening, and diagnostics
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Minh Do, ScD trang chủ

Minh Do, ScD

Honorary Vice Provost, VinUniversity
Professor, Department of Electrical and Computer Engineering, UIUC

Director

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Helen Nguyen

Helen Nguyen

Ivan Racheff Professor of Environmental Engineering in CEE, UIUC CEE Excellence Faculty Fellow

Project "Wastewater Epidemiological Surveillance in Vietnam"

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Dang Doan Khoa, PhD

Dang Doan Khoa, PhD

College of Engineering & Computer Science (CECS), VinUniversity

Associate Director & Assistant Professor

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Ngo Thi Thanh Hien

Ngo Thi Thanh Hien, PhD

VinUni-Illinois Smart Health Center

Lab Manager & Research Fellow

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Cao Thi Kim Nhung

Cao Thi Kim Nhung

VinUni-Illinois Smart Health Center
VinUniversity

Center Coordinator

Cao Thi Kim Nhung

Call for Applications for Integrated Bachelor’s – Master’s Degree Programs & PhD Programs at VinUni and University of Illinois
Submission deadline: 15/11/2024

  • Scholarships and Financial Support up to 25,000 USD/year
  • Cultural exchange
  • PhD Degree granted by UIUC - ranked 5th in undergraduate and 9th in graduate overall
  • Top research hub with 24 Nobel Prizes, 29 Pulitzer Prizes, and the Fields Medal in Mathematics.
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News and events

Call for PhD Programs at VinUni & UIUC
Nov
15

Call for PhD Programs at VinUni & UIUC

Events
Oct
08

Distinguished Guest Speaker| Prof. Nguyen Le Minh, Japan Advanced Institute of Science and Technology (JAIST)

Events
Nov
21

VISHC Pre-PhD Summer School 2024

Events
Jun
14

Four VinUni students honored with VISHC Master and PhD Fellowship Program

News
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Smart Health Blog

How AI can help understand sarcomere structures in hiPSC-CMs?
Aug 03, 2024

How AI can help understand sarcomere structures in hiPSC-CMs?

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This Rice University Professor Developed Cancer-Detection Technology
JOANNA GOODRICH / Feb 21, 2024

This Rice University Professor Developed Cancer-Detection Technology

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FUTURE WORLD 2067 | Medicine
Illinois Alumni Magazine / Feb 13, 2024

FUTURE WORLD 2067 | Medicine

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Surfing the healthcare wave at ICML
Darius Meadon (Owkin) / Sep 18, 2023

Surfing the healthcare wave at ICML

Owkin is an AI Biotech that uses AI to unlock complex biology to find the right treatment for every patient | For more https://www.owkin.com/about-us
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An Expert’s Look at the Current Biotechnology Landscape and Upcoming Industry Trends
Aug 28, 2023

An Expert’s Look at the Current Biotechnology Landscape and Upcoming Industry Trends

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VISHC@ACCV2022: Multi-stream Fusion for Class Incremental Learning in Pill Image Classification
Ngoc Pham / Dec 13, 2022

VISHC@ACCV2022: Multi-stream Fusion for Class Incremental Learning in Pill Image Classification

The article discusses the Multi-stream CIL Framework, and examine different fusion mechanisms in comparison with the traditional methods.
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The Artificially Intelligent Doctor Will Hear You Now
Simon Parkin / Mar 09, 2022

The Artificially Intelligent Doctor Will Hear You Now

U.K.-based startup Babylon will launch an app later this year that will listen to your symptoms and provide medical advice. Will it help or hinder the health-care system?
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Machine Learning Tool Can Spot Mutations in Tumors
Emily Waltz / Mar 07, 2022

Machine Learning Tool Can Spot Mutations in Tumors

Health is our number one priority that is the foundation that we build our life. When traditional sensor networks have been migrated to Internet of things, humans and sensing devices are communicated and linked with internet.
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AI Predicts Heart Attacks and Strokes More Accurately Than Standard Doctor’s Method
Eliza Strickland / Mar 07, 2022

AI Predicts Heart Attacks and Strokes More Accurately Than Standard Doctor’s Method

An artificial intelligence program correctly identifies 355 more patients who developed cardiovascular disease
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