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.

Clinical Machine Learning

Developing and validating ML models for clinical prediction, risk stratification, and decision support across diverse patient populations.

Multimodal Medical Understanding

Integrating signals from text, speech, and imaging to build robust models capable of understanding complex medical information.

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 Leader

HaVeraMed's research & development is currently led by a dedicated expert in AI for healthcare.

Tan-Hanh Pham - Ph.D.

Founder & CEO

AI in Healthcare

- Ph. D. in Robotics and AI in Healthcare

- Research Fellow, Havard Medical School

- Athinoula A. Martinos Center for Biomedical Imaging,
Massachussets General Hospital.

Research Publications

Selected publications highlighting our contributions to AI for healthcare.

[2025] TH Pham, PV Nguyen, C Ngo, TS Hy. SilVar-Med: Speech-Driven Medical VLM for Explainable Abnormality Detection in Medical Imaging. CVPR 2025 Medical AI Workshop.

[2024] TH Pham, X Li, KD Nguyen. SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentation. IEEE Access.

[2025] PV Nguyen, TH Pham, C Ngo, TS Hy. A Novel Framework for Automated Explain Vision Model Using Vision-Language Models. arXiv (cs.CV).

[2025] TH Pham, C Ngo. Multimodal Chain of Continuous Thought for Latent-Space Reasoning in Vision-Language Models. NeurIPS 2025 Efficient Reasoning Workshop.

[2025] TH Pham, C Ngo. RARL: Improving Medical VLM Reasoning and Generalization with Reinforcement Learning and LoRA. arXiv (cs.CV).

[2025] TH Pham, PV Nguyen, C Ngo, TS Hy. SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing.

Interested in Collaboration?

We welcome partnerships with healthcare institutions and research organizations.