Research & Development

Leading innovation in AI-supported healthcare through cutting-edge research and development that enhances medical practice

Research Focus Areas

Our multidisciplinary research teams focus on advancing AI technology that supports healthcare delivery

Machine Learning

Advanced ML algorithms for medical data analysis and predictive modeling to support clinical decisions

Natural Language Processing

Understanding and processing medical terminology across multiple languages for better patient support

Human-AI Interaction

Designing intuitive interfaces that enhance collaboration between AI systems and healthcare professionals

Healthcare Ethics

Ensuring AI systems support care responsibly while respecting patient privacy and medical ethics

Our Research Team

World-class researchers and engineers from leading institutions

👨‍⚕️

Dr. Nguyen Van Hanh

CEO & Chief Scientist

AI in Healthcare

Ph.D. Harvard Medical School

👨‍🔬

Dr. Tran Minh Tuan

Head of AI Research

Machine Learning

Ph.D. Stanford University

👩‍🔬

Dr. Pham Thu Huong

Senior NLP Researcher

Natural Language Processing

Ph.D. MIT

👨‍💼

Dr. Le Van An

Voice AI Lead

Speech Recognition

Ph.D. Cambridge University

👩‍⚕️

Ms. Hoang Thi Mai

Clinical Data Scientist

Healthcare Analytics

M.D. Johns Hopkins

👨‍💻

Mr. Vo Duc Minh

Software Architect

System Design

M.S. Carnegie Mellon

Research Publications

Our team"s contributions to AI healthcare research

Deep Learning Approaches for Medical Chatbot Development

Nguyen V.H., Tran M.T., et al.

Journal of Medical AI•2024•156 citations

Voice-Based AI Assistants in Healthcare: A Comprehensive Study

Le V.A., Pham T.H., et al.

Healthcare Technology Review•2024•89 citations

Multilingual NLP for Medical Information Retrieval

Pham T.H., Nguyen V.H., et al.

Computational Linguistics in Medicine•2023•203 citations

Privacy-Preserving AI in Telemedicine

Tran M.T., Hoang T.M., et al.

Medical Informatics Journal•2023•134 citations

AI-Powered Symptom Checker: Accuracy and Reliability

Hoang T.M., Le V.A., et al.

Digital Health•2023•178 citations

Interested in Collaboration?

We welcome partnerships with healthcare institutions and research organizations