AI · Clinical Decision Support · Southeast Asia

AI-powered care
for underserved communities

Lam Med Tech develops clinical decision support tools that bring specialist-level diagnostics to primary care — starting with diabetic foot ulcer screening in Vietnam and beyond.

Explore our solutions Partner with us
463M
people living with diabetes worldwide
~25%
develop foot ulcers in their lifetime
80%
of diabetes-related amputations are preventable
Solutions

What we build

Clinical-grade AI tools designed for low-resource settings — offline-first, validated on real-world data, and built for frontline health workers.

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DFUCapp Flagship

Smartphone-based diabetic foot ulcer classification using Vision Transformer AI. Multi-angle capture, real-time wound grading, offline support, and specialist referral workflow.

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Cognitive screening

Digital tool linking glycemic control to early cognitive impairment detection — validated on NHANES population data with ML risk prediction.

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Epidemiology analytics

ML-driven chronic disease risk models trained on large cohort datasets including NIPPON DATA, supporting population-level health policy decisions.

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Primary care deployment

Built for integration across community health stations. Currently piloting across primary health stations in Ho Chi Minh City as part of the EVAH initiative.

Our story

Built on legacy, driven by science

The name Lam honors family — a reminder that every algorithm we build serves real people, real families. We are physician-scientists who believe that the gap between cutting-edge AI and frontline healthcare can — and must — be closed.

Founded from research spanning Japan, Vietnam, and the United States, Lam Med Tech sits at the intersection of clinical medicine, epidemiology, and machine learning. Our tools are peer-reviewed, validated on real-world datasets, and built with health equity as a design principle.

TP
Dr. Tran Ngoc Hoang Phap, MD, PhD — Founder
MU
Mie University · MUDXinitiative
TU
Thu Dau Mot University, Vietnam
Contact

Get in touch

Interested in partnership, research collaboration, or deploying our tools at your facility? We'd love to connect.

Email
info@lamedtech.org
Based in
Mie, Japan &
Binh Duong, Vietnam
Affiliations
Mie University
Thu Dau Mot University
Focus areas
Diabetic foot care
Cognitive health
Chronic disease AI